We investigate the existence of constant-round post-quantum black-box zero-knowledge protocols for $\mathbf{NP}$. As a main result, we show that there is no constant-round post-quantum black-box zero-knowledge argument for $\mathbf{NP}$ unless $\mathbf{NP}\subseteq \mathbf{BQP}$. As constant-round black-box zero-knowledge arguments for $\mathbf{NP}$ exist in the classical setting, our main result points out a fundamental difference between post-quantum and classical zero-knowledge protocols. Combining previous results, we conclude that unless $\mathbf{NP}\subseteq \mathbf{BQP}$, constant-round post-quantum zero-knowledge protocols for $\mathbf{NP}$ exist if and only if we use non-black-box techniques or relax certain security requirements such as relaxing standard zero-knowledge to $\epsilon$-zero-knowledge. Additionally, we also prove that three-round and public-coin constant-round post-quantum black-box $\epsilon$-zero-knowledge arguments for $\mathbf{NP}$ do not exist unless $\mathbf{NP}\subseteq \mathbf{BQP}$.

Noise, which cannot be eliminated or controlled by parties, is an incredible facilitator of cryptography. For example, highly efficient secure computation protocols based on independent samples from the doubly symmetric binary source (BSS) are known. A modular technique of extending these protocols to diverse forms of other noise without any loss of round and communication complexity is the following strategy. Parties, beginning with multiple samples from an arbitrary noise source, non-interactively, albeit securely, simulate the BSS samples. After that, they can use custom-designed efficient multi-party solutions using these BSS samples. Khorasgani, Maji, and Nguyen (EPRINT--2020) introduce the notion of secure non-interactive simulation (SNIS) as a natural cryptographic extension of concepts like non-interactive simulation and non-interactive correlation distillation in theoretical computer science and information theory. In SNIS, the parties apply local reduction functions to their samples to produce samples of another distribution. This work studies the decidability problem of whether samples from the noise $(X,Y)$ can securely and non-interactively simulate BSS samples. As is standard in analyzing non-interactive simulations, our work relies on Fourier-analytic techniques to approach this decidability problem. Our work begins by algebraizing the simulation-based security definition of SNIS. Using this algebraized definition of security, we analyze the properties of the Fourier spectrum of the reduction functions. Given $(X,Y)$ and BSS with noise parameter $\epsilon$, the objective is to distinguish between the following two cases. (A) Does there exist a SNIS from $BSS(\epsilon)$ to $(X,Y)$ with $\delta$-insecurity? (B) Do all SNIS from $BSS(\epsilon)$ to $(X,Y)$ incur $\delta'$-insecurity, where $\delta'>\delta$? We prove that there is a bounded computable time algorithm achieving this objective for the following cases. (1) $\delta=O{1/n}$ and $\delta'=$ positive constant, and (2) $\delta=$ positive constant, and $\delta'=$ another (larger) positive constant. We also prove that $\delta=0$ is achievable only when $(X,Y)$ is another BSS, where $(X,Y)$ is an arbitrary distribution over $\{-1,1\}\times\{-1,1\}$. Furthermore, given $(X,Y)$, we provide a sufficient test determining if simulating BSS samples incurs a constant-insecurity, irrespective of the number of samples of $(X,Y)$. Handling the security of the reductions in Fourier analysis presents unique challenges because the interaction of these analytical techniques with security is unexplored. Our technical approach diverges significantly from existing approaches to the decidability problem of (insecure) non-interactive reductions to develop analysis pathways that preserve security. Consequently, our work shows a new concentration of the Fourier spectrum of secure reduction functions, unlike their insecure counterparts. We show that nearly the entire weight of secure reduction functions' spectrum is concentrated on the lower-degree components. The authors believe that examining existing analytical techniques through the facet of security and developing new analysis methodologies respecting security is of independent and broader interest.

This paper closes the question of the possibility of two-round MPC protocols achieving different security guarantees with and without the availability of broadcast in any given round. Cohen et al. (Eurocrypt 2020) study this question in the dishonest majority setting; we complete the picture by studying the honest majority setting. In the honest majority setting, given broadcast in both rounds, it is known that the strongest guarantee — guaranteed output delivery — is achievable (Gordon et al. Crypto 2015). We show that, given broadcast in the first round only, guaranteed output delivery is still achievable. Given broadcast in the second round only, we give a new construction that achieves identifiable abort, and we show that fairness — and thus guaranteed output delivery — are not achievable in this setting. Finally, if only peer-to-peer channels are available, we show that the weakest guarantee — selective abort — is the only one achievable for corruption thresholds $t > 1$ and for $t = 1$ and $n = 3$. On the other hand, it is already known that selective abort can be achieved in these cases. In the remaining cases, i.e., $t = 1$ and $n > 3$, it is known (from the work of Ishai et al. at Crypto 2010, and Ishai et al. at Crypto 2015) that guaranteed output delivery (and thus all weaker guarantees) are possible.

We study the notion of indistinguishability obfuscation for null quantum circuits (quantum null-iO). We present a construction assuming: * The quantum hardness of learning with errors (LWE). * Post-quantum indistinguishability obfuscation for \emph{classical} circuits. * A notion of ``dual-mode'' classical verification of quantum computation (CVQC). We give evidence that our notion of dual-mode CVQC exists by proposing a scheme that is secure assuming LWE in the quantum random oracle model (QROM). Then we show how quantum null-iO enables a series of new cryptographic primitives that, prior to our work, were unknown to exist even making heuristic assumptions. Among others, we obtain the first witness encryption scheme for QMA, the first publicly verifiable non-interactive zero-knowledge (NIZK) scheme for QMA, and the first attribute-based encryption (ABE) scheme for BQP.

In this short note we give a polynomial-time quantum reduction from the vectorization problem (DLP) to the parallelization problem (CDHP) for efficiently computable group actions. Combined with the trivial reduction from parallelization to vectorization, we thus prove the quantum equivalence of these problems, which is the post-quantum counterpart to classic results of den Boer and Maurer in the classical Diffie-Hellman setting. In contrast to the classical setting, our reduction holds unconditionally and does not assume knowledge of suitable auxiliary algebraic groups. We discuss the implications of this reduction for isogeny-based cryptosystems including CSIDH.

Formally bounding side-channel leakage is important to bridge the gap between the theory and practice in cryptography. However, bounding side-channel leakages is difficult because leakage in a crypto-system could be from several sources. Moreover the amount of leakage from a source may vary depending on the implementation of the cipher and the form of attack. To formally analyze the security of a crypto-system against a form of attack, it is therefore essential to consider each source of leakage independently. This paper considers data prefetching, which is used in most modern day cache memories to reduce the miss penalty. To the best of our knowledge, we show for the first time that micro-architectural features like prefetching is a major source of leakage in profiled cache-timing attacks. We further quantify the leakage due to important data prefetching algorithms, namely sequential and arbitrary-stride prefetching. The analytical results, with supported experimentation, brings out interesting facts like the effect of placement of tables in memory and the cipher’s implementation on the leakage in profiled cache-timing attacks.

Following the pioneering work of Boneh and Franklin (CRYPTO '01), the challenge of constructing an identity-based encryption scheme based on the Diffie-Hellman assumption remained unresolved for more than 15 years. Evidence supporting this lack of success was provided by Papakonstantinou, Rackoff and Vahlis (ePrint '12), who ruled out the existence of generic-group identity-based encryption schemes supporting an identity space of sufficiently large polynomial size. Nevertheless, the breakthrough result of D{ö}ttling and Garg (CRYPTO '17) settled this long-standing challenge via a non-generic construction. We prove a tight impossibility result for generic-group identity-based encryption, ruling out the existence of any non-trivial construction: We show that any scheme whose public parameters include $n_{\sf pp}$ group elements may support at most $n_{\sf pp}$ identities. This threshold is trivially met by any generic-group public-key encryption scheme whose public keys consist of a single group element (e.g., ElGamal encryption). In the context of algebraic constructions, generic realizations are often both conceptually simpler and more efficient than non-generic ones. Thus, identifying exact thresholds for the limitations of generic groups is not only of theoretical significance but may in fact have practical implications when considering concrete security parameters.

We prove that Kilian's four-message succinct argument system is post-quantum secure in the standard model when instantiated with any probabilistically checkable proof and any collapsing hash function (which in turn exist based on the post-quantum hardness of Learning with Errors). This yields the first post-quantum succinct argument system from any falsifiable assumption. At the heart of our proof is a new quantum rewinding procedure that enables a reduction to repeatedly query a quantum adversary for accepting transcripts as many times as desired. Prior techniques were limited to a constant number of accepting transcripts.

In this paper, we initiate a study of asymmetric all-or-nothing transforms (or asymmetric AONTs). A (symmetric) $t$-all-or-nothing transform is a bijective mapping defined on the set of $s$-tuples over a specified finite alphabet. It is required that knowledge of all but $t$ outputs leaves any $t$ inputs completely undetermined. There have been numerous papers developing the theory of AONTs as well as presenting various applications of AONTs in cryptography and information security. In this paper, we replace the parameter $t$ by two parameters $t_o$ and $t_i$, where $t_i \leq t_o$. The requirement is that knowledge of all but $t_o$ outputs leaves any $t_i$ inputs completely undetermined. When $t_i < t_o$, we refer to the AONT as asymmetric. We give several constructions and bounds for various classes of asymmetric AONTs, especially those with $t_i = 1$ or $t_i = 2$. We pay particular attention to linear transforms, where the alphabet is a finite field $F_q$ and the mapping is linear.

A common definition of black-box zero-knowledge considers strict polynomial time (PPT) adversaries but expected polynomial time (EPT) simulation. This is necessary for constant round black-box zero-knowledge in the plain model, and the asymmetry between simulator and adversary an accepted consequence. Consideration of EPT adversaries naturally leads to designated adversaries, i.e. adversaries which are only required to be efficient in the protocol they are designed to attack. They were first examined in Feige’s thesis [Fei90], where obstructions to proving security are shown. Prior work on (designated) EPT adversaries by Katz and Lindell (TCC’05) requires superpolynomial hardness assumptions, whereas the work of Goldreich (TCC’07) postulates “nice” behaviour under rewinding. In this work, we start from scratch and revisit the definition of efficient algorithms. We argue that the standard runtime classes, PPT and EPT, behave “unnatural” from a cryptographic perspective. Namely, algorithms can have indistinguishable runtime distributions, yet one is considered efficient while the other is not. Hence, classical runtime classes are not “closed under indistinguishability”, which causes problems. Relaxations of PPT which are “closed” are (well-)known and used. We propose computationally expected polynomial time (CEPT), the class of runtimes which are (computationally) indistinguishable from EPT, which is “closed”. We analyze CEPT in the setting of uniform complexity (following Goldreich (JC’93)) with designated adversaries, and provide easy-to-check criteria for zero-knowledge protocols with black-box simulation in the plain model which show that many (all known?) such protocols handle designated CEPT adversaries in CEPT.

Existing standards for player characterisation in tokenised state machine replication protocols depend on honest players who will always follow the protocol, regardless of possible token increases for deviating. Given the ever-increasing market capitalisation of these tokenised protocols, honesty is becoming more expensive and more unrealistic. As such, this out-dated player characterisation must be removed to provide true guarantees of safety and liveness in a major stride towards universal trust in state machine replication protocols and a new scale of adoption. As all current state machine replication protocols are built on these legacy standards, it is imperative that a new player model is identified and utilised to reflect the true nature of players in tokenised protocols, now and into the future. To this effect, we propose the ByRa player model for state machine replication protocols. In the ByRa model, players either attempt to maximise their tokenised rewards, or behave adversarially. This merges the fields of game theory and distributed systems, an intersection in which tokenised state machine replication protocols exist, but on which little formalisation has been carried out. In the ByRa model, we identify the properties of strong incentive compatibility in expectation and fairness that all protocols must satisfy in order to achieve state machine replication. We then provide Tenderstake, a protocol which provably satisfies these properties, and by doing so, achieves state machine replication in the ByRa model.

Information-theoretical privacy relies on randomness. Representatively, Differential Privacy (DP) has emerged as the gold standard to quantify the individual privacy preservation provided by given randomness. However, almost all randomness in existing differentially private optimization and learning algorithms is restricted to noise perturbation. In this paper, we set out to provide a privacy analysis framework to understand the privacy guarantee produced by other randomness commonly used in optimization and learning algorithms (e.g., parameter randomness). We take mixup: a random linear aggregation of inputs, as a concrete example. Our contributions are twofold. First, we develop a rigorous analysis on the privacy amplification provided by mixup either on samples or updates, where we find the hybrid structure of mixup and the Laplace Mechanism produces a new type of DP guarantee lying between Pure DP and Approximate DP. Such an average-case privacy amplification can produce tighter composition bounds. Second, both empirically and theoretically, we show that proper mixup comes almost free of utility compromise.

We present fundamental (in-)feasibility results for the strongest security notion for Secure Multi-Party Computation (MPC) that is achievable when a majority of parties is malicious, i.e. security with Identifiable Abort. As general Universally Composable (UC) MPC requires a setup, typically in the form of a Common Reference String or Common-Randomness, we investigate whether the setup must provide randomness to all parties. Given broadcast, we give tight bounds for the necessary and sufficient setup cardinality, i.e. number of participating parties, for UC-MPC protocols with Identifiable Abort. Concretely, we improve previous upper bounds by constructing Secure Function Evaluation for \(n\) parties (\(h\) of which are honest) from setups of cardinality \(\beta := \min(n,\lfloor n/h\rfloor+\lfloor(n-1)/h\rfloor-1)\) and broadcast. Conversely, we present the first general lower bound on the minimal setup cardinality for Identifiable Abort by proving that setups of cardinality \(\beta-1\) plus broadcast are insufficient even for a commitment among \(n\) parties. Somewhat surprisingly, we show that Oblivious Transfer plus broadcast is sufficient for \(n = 2h \geq 2\) which is consistent with the fact that in two-party MPC Identifiable Abort comes for free. We present the results in the Universal Composibility (UC) framework and assume the setup functionalities to be secure with Identifiable Abort. Our constructions yield an efficient (poly-time) protocol for any \(n \in \mathrm{poly}(\lambda)\) where \(\lambda\) is the security parameter if at least a constant fraction \(h \in \Theta(n)\) of parties is honest. However for \(h \in \mathrm{o}(n)\) our results suggest that for efficient protocols the overall number of parties \(n\) is limited quite severely by \(\binom{n}{\beta} \in \mathrm{poly}(\lambda)\).

We revisit private optimization and learning from an information processing view. The main contribution of this paper is twofold. First, different from the classic cryptographic framework of operation-by-operation obfuscation, a novel private learning and inference framework via either random or data-dependent transformation on the sample domain is proposed. Second, we propose a novel security analysis framework, termed probably approximately correct (PAC) inference resistance, which bridges the information loss in data processing and prior knowledge. Using the entropy of private data, we develop an information theoretical security amplifier with a foundation of PAC security. We study the applications of such a framework from generalized linear regression models to modern learning techniques, such as deep learning. On the information theoretical privacy side, we compare three privacy interpretations: ambiguity, statistical indistinguishability (Differential Privacy) and PAC inference resistance, and precisely describe the information leakage of our framework. We show the advantages of this new random transform approach with respect to underlying privacy guarantees, computational efficiency and utility for fully-connected neural networks.

In this work, we prove that Multiplexer PUF~(MPUF) and $S_N$-PUF are learnable in the PAC model. First, we show that both the designs can be represented as a function of Linear Threshold Functions. We show that the noise sensitivity of $(n,k)$-MPUF and $S_N$-PUF can be bounded by $O(2^{k} \sqrt{\epsilon})$ and $O(N\sqrt{\epsilon})$ respectively. Finally, we show that as a result of bounded noise sensitivity, both the designs can be accurately approximated using low degree algorithm. Also, the number of labelled examples~(challenge-response pairs) required by the algorithm is polynomial in the input length and PAC model parameters.

Many security properties of interest are captured by instrumented semantics that model the functional behavior and the leakage of programs. For several important properties, including cryptographic constant-time (CCT), leakage models are sufficiently abstract that one can define instrumented semantics for high-level and low-level programs. One important goal is then to relate leakage of source programs and leakage of their compilation---this can be used, e.g.\, to prove preservation of CCT. To simplify this task, we put forward the idea of structured leakage. In contrast to the usual modeling of leakage as a sequence of observations, structured leakage is tightly coupled with the operational semantics of programs. This coupling greatly simplifies the definition of leakage transformers that map the leakage of source programs to leakage of their compilation and yields more precise statements about the preservation of security properties. We illustrate our methods on the Jasmin compiler and prove preservation results for two policies of interest: CCT and cost.

Non-malleable secret sharing (NMSS) schemes, introduced by Goyal and Kumar (STOC 2018), ensure that a secret $m$ can be distributed into shares $m_1,...,m_n$ (for some $n$), such that any $t$ (a parameter $<=n$) shares can be reconstructed to recover the secret $m$, any $t-1$ shares doesn't leak information about $m$ and even if the shares that are used for reconstruction are tampered, it is guaranteed that the reconstruction of these tampered shares will either result in the original $m$ or something independent of $m$. Since their introduction, non-malleable secret sharing schemes sparked a very impressive line of research. In this work, we introduce a feature of local reconstructability in NMSS, which allows reconstruction of any portion of a secret by reading just a few locations of the shares. This is a useful feature, especially when the secret is long or when the shares are stored in a distributed manner on a communication network. In this work, we give a compiler that takes in any non-malleable secret sharing scheme and compiles it into a locally reconstructable non-malleable secret sharing scheme. To secret share a message consisting of $k$ blocks of length $l$ each, our scheme would only require reading $l + log k$ bits (in addition to a few more bits, whose quantity is independent of $l$ and $k$) from each party's share (of a reconstruction set) to locally reconstruct a single block of the message. We show an application of our locally reconstructable non-malleable secret sharing scheme to a computational non-malleable secure message transmission scheme in the pre-processing model, with an improved communication complexity, when transmitting multiple messages.

In the context of secure computation, protocols with security against covert adversaries ensure that any misbehavior by malicious parties will be detected by the honest parties with some constant probability. As such, these protocols provide better security guarantees than passively secure protocols and, moreover, are easier to construct than protocols with full security against active adversaries. Protocols that, upon detecting a cheating attempt, allow the honest parties to compute a certificate that enables third parties to verify whether an accused party misbehaved or not are called publicly verifiable. In this work, we present the first generic compilers for constructing two-party protocols with covert security and public verifiability from protocols with passive security. We present two separate compilers, which are both fully blackbox in the underlying protocols they use. Both of them only incur a constant multiplicative factor in terms of bandwidth overhead and a constant additive factor in terms of round complexity on top of the passively secure protocols they use. The first compiler applies to all two-party protocols that have no private inputs. This class of protocols covers the important class of preprocessing protocols that are used to setup correlated randomness among parties. We use our compiler to obtain the first secret-sharing based two-party protocol with covert security and public verifiability. Notably, the produced protocol achieves public verifiability essentially for free when compared with the best known previous solutions based on secret-sharing that did not provide public verifiability Our second compiler constructs protocols with covert security and public verifiability for arbitrary functionalities from passively secure protocols. It uses our first compiler to perform a setup phase, which is independent of the parties' inputs as well as the protocol they would like to execute. Finally, we show how to extend our techniques to obtain multiparty computation protocols with covert security and public verifiability against arbitrary constant fractions of corruptions.

Broadbent and Islam (TCC '20) proposed a quantum cryptographic primitive called quantum encryption with certified deletion. In this primitive, a receiver in possession of a quantum ciphertext can generate a classical certificate that the encrypted message is deleted. Though they proved that their construction is information theoretically secure, a drawback is that the construction is limited to the setting of one-time symmetric key encryption (SKE) where a sender and receiver have to share a common key in advance and the key can be used only once. In this paper, we construct a (reusable-key) public key encryption (PKE) and attribute-based encryption (ABE) with certified deletion. Our PKE with certified deletion is constructed assuming the existence of IND-CPA secure PKE, and our ABE with certified deletion is constructed assuming the existence of indistinguishability obfuscation and one-way function.

Digital signatures have been widely used as building blocks for constructing complex cryptosystems. To facilitate the security analysis of a complex system, we expect the underlying building blocks to achieve desirable composability. Notably, Canetti (FOCS 2001) and then Maurer et al (TCC 2004) propose analysis frameworks, the Universal Composability framework for cryptographic protocols, and the indifferentiability framework for cryptographic objects. In this paper, we develop a “lifting strategy”, which allows us to compile multiple existing practical signature schemes using cyclic group (e.g., Schnorr, Boneh-Boyen), to achieve a very stringent security guarantee, in an idealized model of the generic (bilinear) group, without introducing much extra efficiency loss. What's more interesting is that, in our design, even the involved idealized model does not exist, our compiled construction will still be able to achieve the classical notion of unforgeability. To achieve both indifferentiability and good efficiency, we develop new techniques in generic (bilinear) group model.

In this work we challenge the common misconception that information-theoretic (IT) privacy is too impractical to be used in the real-world: we propose to build simple and $\textit{reusable}$ IT-encryption solutions whose only efficiency penalty (compared to computationally-secure schemes) comes from a large secret key size, which is often a rather minor inconvenience, as storage is cheap. In particular, our solutions are $\textit{stateless}$ and $\textit{locally computable at the optimal rate}$, meaning that honest parties do not maintain state and read only (optimally) small portions of their large keys with every use. Moreover, we also propose a novel architecture for outsourcing the storage of these long keys to a network of semi-trusted servers, trading the need to store large secrets with the assumption that it is hard to simultaneously compromise too many publicly accessible ad-hoc servers. Our architecture supports $\textit{everlasting privacy}$ and $\textit{post-application security}$ of the derived one-time keys, resolving two major limitations of a related model for outsourcing key storage, called bounded storage model. Both of these results come from nearly optimal constructions of so called $\textit{doubly-affine extractors}$: locally-computable, seeded extractors $\textbf{Ext}$(X,S) which are linear functions of X (for any fixed seed S), and protect against bounded affine leakage on X. This holds unconditionally, even if (a) affine leakage may $\textit{adaptively depend}$ on the extracted key R = $\textbf{Ext}$(X, S); and (b) the seed S is only $\textit{computationally}$ secure. Neither of properties are possible with general-leakage extractors.

Broadbent and Islam (TCC '20) proposed a quantum cryptographic primitive called quantum encryption with certified deletion. In this primitive, a receiver in possession of a quantum ciphertext can generate a classical certificate that the encrypted message is deleted. Although their construction is information-theoretically secure, it is limited to the setting of one-time symmetric key encryption (SKE), where a sender and receiver have to share a common key in advance and the key can be used only once. Moreover, the sender has to generate a quantum state and send it to the receiver over a quantum channel in their construction. Although deletion certificates are privately verifiable, which means a verification key for a certificate has to be kept secret, in the definition by Broadbent and Islam, we can also consider public verifiability. In this work, we present various constructions of encryption with certified deletion. - Quantum communication case: We achieve (reusable-key) public key encryption (PKE) and attribute-based encryption (ABE) with certified deletion. Our PKE scheme with certified deletion is constructed assuming the existence of IND-CPA secure PKE, and our ABE scheme with certified deletion is constructed assuming the existence of indistinguishability obfuscation and one-way function. These two schemes are privately verifiable. - Classical communication case: We also achieve PKE with certified deletion that uses only classical communication. We give two schemes, a privately verifiable one and a publicly verifiable one. The former is constructed assuming the LWE assumption in the quantum random oracle model. The latter is constructed assuming the existence of one-shot signatures and extractable witness encryption.

In recent years, leakage-resilient cryptography---the design of cryptographic protocols resilient to bounded leakage of honest players' secrets---has received significant attention. A major limitation of known provably-secure constructions (based on polynomial hardness assumptions) is that they require the secrets to have sufficient actual (i.e., information-theoretic), as opposed to computational, min-entropy even after the leakage. In this work, we present barriers to provably-secure constructions beyond the ``information-theoretic barrier'': Assume the existence of collision-resistant hash functions. Then, no NP search problem with $(2^{n^{\epsilon}})$-bounded number of witnesses can be proven (even worst-case) hard in the presence of $O(n^{\epsilon})$ bits of computationally-efficient leakage of the witness, using a black-box reduction to any $O(1)$-round assumption. In particular, this implies that $O(n^{\epsilon})$-leakage resilient injective one-way functions, and more generally, one-way functions with at most $2^{n^{\epsilon}}$ pre-images, cannot be based on any ``standard'' complexity assumption using a black-box reduction.

Given $2n$-to-$n$ compression functions $h_1,h_2,h_3$, we build a new $5n$-to-$n$ compression function $\mathrm{T}_5$, using only $3$ compression calls: $\mathrm{T}_5(m_1, m_2, m_3, m_4, m_5) := h_3( h_1(m_1, m_2)\oplus m_5, h_2(m_3, m_4)\oplus m_5) \oplus m_5$. We prove that this construction matches Stam's bound, by providing $\tilde{O}(q^2/2^n)$ collision security and $O(q^3/2^{2n}+ nq/2^n)$ preimage security (the latter term dominates in the region of interest, when $q<2^{n/2}$). In particular, it provides birthday security for hashing $5$ inputs using three $2n$-to-$n$ compression calls, instead of only $4$ inputs in prior constructions. Thus, we get a sequential variant of the Merkle-Damgård (MD) hashing, where $t$ message blocks are hashed using only $3t/4$ calls to the $2n$-to-$n$ compression functions; a $25\%$ saving over traditional hash function constructions. This time reduces to $t/4$ (resp. $t/2$) sequential calls using $3$ (resp. $2$) parallel execution units; saving a factor of $4$ (resp. $2$) over the traditional MD-hashing, where parallelism does not help to process one message. We also get a novel variant of a Merkle tree, where $t$ message blocks can be processed using $0.75(t-1)$ compression function calls and depth $0.86 \log_2 t$, thereby saving $25\%$ in the number of calls and $14\%$ in the update time over Merkle trees. We provide two modes for a local opening of a particular message block: conservative and aggressive. The former retains the birthday security, but provides longer proofs and local verification time than the traditional Merkle tree. For the aggressive variant, we reduce the proof length to a $29\%$ overhead compared to Merkle trees ($1.29\log_2 t$ vs $\log_2 t$), but the verification time is now $14\%$ faster ($0.86\log_2 t$ vs $\log_2 t$). However, birthday security is only shown under a plausible conjecture related to the 3-XOR problem, and only for the (common, but not universal) setting where the root of the Merkle tree is known to correspond to a valid $t$-block message.

Game-playing proofs constitute a powerful framework for non-quantum cryptographic security arguments, most notably applied in the context of indifferentiability. An essential ingredient in such proofs is lazy sampling of random primitives. We develop a quantum game-playing proof framework by generalizing two recently developed proof techniques. First, we describe how Zhandry's compressed quantum oracles~(Crypto'19) can be used to do quantum lazy sampling of a class of non-uniform function distributions. Second, we observe how Unruh's one-way-to-hiding lemma~(Eurocrypt'14) can also be applied to compressed oracles, providing a quantum counterpart to the fundamental lemma of game-playing. Subsequently, we use our game-playing framework to prove quantum indifferentiability of the sponge construction, assuming a random internal function.

We study the randomness complexity of interactive proofs and zero-knowledge proofs. In particular, we ask whether it is possible to reduce the randomness complexity, $R$, of the verifier to be comparable with the number of bits, $C_V$, that the verifier sends during the interaction. We show that such \emph{randomness sparsification} is possible in several settings. Specifically, unconditional sparsification can be obtained in the non-uniform setting (where the verifier is modelled as a circuit), and in the uniform setting where the parties have access to a (reusable) common-random-string (CRS). We further show that constant-round uniform protocols can be sparsified without a CRS under a plausible worst-case complexity-theoretic assumption that was used previously in the context of derandomization. All the above sparsification results preserve statistical-zero knowledge provided that this property holds against a \emph{cheating verifier}. We further show that randomness sparsification can be applied to honest-verifier statistical zero-knowledge (HVSZK) proofs at the expense of increasing the communication from the prover by $R-F$ bits, or, in the case of honest-verifier perfect zero-knowledge (HVPZK) by slowing down the simulation by a factor of $2^{R-F}$. Here $F$ is a new measure of \emph{accessible bit complexity} of an HVZK proof system that ranges from 0 to $R$, where a maximal grade of $R$ is achieved when zero-knowledge holds against a ``semi-malicious'' verifier that maliciously selects its random tape and then plays honestly. Consequently, we show that some classical HVSZK proof systems, like the one for the complete Statistical-Distance problem (Sahai and Vadhan, JACM 2003) admit randomness sparsification with no penalty. Along the way we introduce new notions of pseudorandomness against interactive proof systems, and study their relations to existing notions of pseudorandomness.

BFT protocols in the synchronous setting rely on a strong assumption: every message sent by a party will arrive at its destination within a known bounded time. To allow some degree of asynchrony while still tolerating a minority corruption, recently, in Crypto'19, a weaker synchrony assumption called mobile sluggish faults was introduced. In this work, we investigate the support for mobile sluggish faults in existing synchronous protocols such as Dfinity, Streamlet, Sync HotStuff, OptSync and the optimal latency BFT protocol. We identify key principles that can be used to ``compile'' these synchronous protocols to tolerate mobile sluggish faults.

We tackle the problems of private learning where an owner wishes to outsource a training task to an honest-but-curious server while keeping its data private, and private collaborative learning where two (or more) mutually distrusting owners outsource respective training data sets to an honest-but-curious server while keeping their data sets private from the server and each other. The privacy property we provide is information-theoretic in nature, Probably Approximately Correct (PAC) approximation resistance (abbreviated to PAC security). Each owner transforms its data and labels using a private transform. The server combines samples from each data set into expanded samples with corresponding expanded labels -- we refer to this step as Task Augmentation. The server can be used for inference by any owner by sending it transformed samples. Unlike most prior approaches, our transformed data approach maintains privacy for each entity, even in the case where the server colludes with all other entities. Importantly, we show the utility of collaborative learning typically exceeds the utility that can be achieved by any entity restricted to its own data set. Another important application we show is that the Task Augmentation approach can also be used in the single owner case by adding labeled, learnable noise to amplify privacy. This can be straightforwardly used to produce (Local) Differential Privacy ((L)DP) guarantees. We show that adding labeled noise as opposed to a conventional (L)DP additive noise mechanism significantly improves the privacy-utility tradeoff in private learning under the same setup.

We give a lower bound for the size of the value set of almost perfect nonlinear (APN) functions \(F\colon \mathbb{F}_2^n \to \mathbb{F}_2^n\) in explicit form and proof it with methods of linear programming. It coincides with the bound given in [CHP17]. For \(n\) even it is \(\frac{ 2^n + 2 }{3}\) and sharp as the simple example \(F(x) = x^3\) shows. The sharp lower bound for \(n\) odd has to lie between \(\frac{ 2^n + 1 }{3}\) and \(2^{n-1}\). Sharp bounds for the cases \(n = 3\) and \(n = 5\) are explicitly given.

We found 5412 new quadartic APN on F28 with the QAM method, thus bringing the number of known CCZ-inequivalent APN functions on F28 to 26525. Unfortunately, none of these new functions are CCZ-equivalent to permutations. A (to the best of our knowledge) complete list of known quadratic APN functions, including our new ones, has been pushed to sboxU for ease of study by others. In this paper, we recall how to construct new QAMs from a known one, and present how used the ortho-derivative method to figure out which of our new functions fall into different CCZ-classes. Based on these results and on others on smaller fields, we make to conjectures: that the full list of quadratic APN functions on F28 could be obtained using the QAM approached (provided enormous computing power), and that the total number of CCZ-inequivalent APN functions may overcome 50000.

We investigate the digital signature schemes in the indifferentiability framework. We show that the well-known Lamport one-time signature scheme and the tree-based signature scheme can be ``lifted'' to realize ideal one-time signature, and ideal signature, respectively, without using computational assumptions. We for the first time show that the ideal signatures, ideal one-time signatures, and random oracles are equivalent in the framework of indifferentiability.

The construction of linear (minimal) codes from functions over finite fields has been greatly studied in the literature since determining the parameters of linear codes based on functions is rather easy due to the nice structures of functions. In this paper, we derive 3-weight and 4-weight linear codes from weakly regular plateaued unbalanced functions in the recent construction method of linear codes over the odd characteristic finite fields. The Hamming weights and their weight distributions for proposed codes are determined by using the Walsh transform values and Walsh distribution of the employed functions, respectively. We next derive projective 3-weight punctured codes with good parameters from the constructed codes. These punctured codes may be almost optimal due to the Griesmer bound, and they can be employed to design association schemes. We lastly show that all constructed codes are minimal, which approves that they can be employed to design high democratic secret sharing schemes.

We propose a candidate ciphertext-policy attribute-based encryption (CP-ABE) scheme for circuits, where the ciphertext size depends only on the depth of the policy circuit (and not its size). This, in particular, gives us a Broadcast Encryption (BE) scheme where the size of the keys and ciphertexts have a poly-logarithmic dependence on the number of users. This goal was previously only known to be achievable assuming ideal multilinear maps (Boneh, Waters and Zhandry, Crypto 2014) or indistinguishability obfuscation (Boneh and Zhandry, Crypto 2014) and in a concurrent work from generic bilinear groups and the learning with errors (LWE) assumption (Agrawal and Yamada, Eurocrypt 2020). Our construction relies on techniques from lattice-based (and in particular LWE-based) cryptography. We analyze some attempts at cryptanalysis, but we are unable to provide a security proof.

Liu and Pass (FOCS'20) recently demonstrated an equivalence between the existence of one-way functions (OWFs) and mild average-case hardness of the time-bounded Kolmogorov complexity problem. In this work, we establish a similar equivalence but to a different form of time-bounded Kolmogorov Complexity---namely, Levin's notion of Kolmogorov Complexity---whose hardness is closely related to the problem of whether $\EXP \neq \BPP$. In more detail, let $Kt(x)$ denote the Levin-Kolmogorov Complexity of the string $x$; that is, $Kt(x) = \min_{\desc \in \bitset^*, t \in \N}\{|\desc| + \lceil \log t \rceil: U(\desc, 1^t) = x\}$, where $U$ is a universal Turing machine, and $U(\desc,1^t)$ denotes the output of the program $\Pi$ after $t$ steps, and let $\mktp$ denote the language of pairs $(x,k)$ having the property that $Kt(x) \leq k$. We demonstrate that: - $\mktp \notin \HeurpBPP$ (i.e., $\mktp$ is infinitely-often \emph{two-sided error} mildly average-case hard) iff infinititely-often OWFs exist. - $\mktp \notin \AvgpBPP$ (i.e., $\mktp$ is infinitely-often \emph{errorless} mildly average-case hard) iff $\EXP \neq \BPP$. Thus, the only ``gap'' towards getting (infinitely-often) OWFs from the assumption that $\EXP \neq \BPP$ is the seemingly ``minor'' technical gap between two-sided error and errorless average-case hardness of the $\mktp$ problem. As a corollary of this result, we additionally demonstrate that any reduction from errorless to two-sided error average-case hardness for $\mktp$ implies (unconditionally) that $\NP \neq \P$. We finally consider other alternative notions of Kolmogorov complexity---including space-bounded Kolmogorov complexity and conditional Kolmogorov complexity---and show how average-case hardness of problems related to them characterize log-space computable OWFs, or OWFs in $\NC^0$.

Let $\mktp[s]$ be the set of strings $x$ such that $K^t(x) \leq s(|x|)$, where $K^t(x)$ denotes the $t$-bounded Kolmogorov complexity of the truthtable described by $x$. Our main theorem shows that for an appropriate notion of mild average-case hardness, for every $\varepsilon>0$, polynomial $t(n) \geq (1+\varepsilon)n$, and every ``nice'' class $\F$ of super-polynomial functions, the following are equivalent: - the existence of some function $T \in \F$ such that $T$-hard one-way functions (OWF) exists (with non-uniform security); - the existence of some function $T \in \F$ such that $\mktp[T^{-1}]$ is mildly average-case hard with respect to sublinear-time non-uniform algorithms (with running-time $n^{\delta}$ for some $0<\delta<1$). For instance, existence of subexponentially-hard (resp. quasi-polynomially-hard) OWFs is equivalent to mild average-case hardness of $\mktp[\poly\log n]$ (resp. $\mktp[2^{O(\sqrt{\log n})})]$) w.r.t. sublinear-time non-uniform algorithms. We additionally note that if we want to deduce $T$-hard OWFs where security holds w.r.t. uniform $T$-time probabilistic attackers (i.e., uniformly-secure OWFs), it suffices to assume sublinear time hardness of $\mktp$ w.r.t. uniform probabilistic sublinear-time attackers. We complement this result by proving lower bounds that come surprisingly close to what is required to unconditionally deduce the existence of (uniformly-secure) OWFs: $\mktp[\poly\log n]$ is worst-case hard w.r.t. uniform probabilistic sublinear-time algorithms, and $\mktp[n-\log n]$ is mildly average-case hard for all $O(t(n)/n^3)$-time deterministic algorithms.

We provide the first constructions of non-interactive zero-knowledge and Zap arguments for NP based on the sub-exponential hardness of Decisional Diffie-Hellman against polynomial time adversaries (without use of groups with pairings). Central to our results, and of independent interest, is a new notion of interactive trapdoor hashing protocols.

Let n be a positive integer. An n-stage Galois NFSR has n registers and each register is updated by a feedback function. Then a Galois NFSR is called nonsingular if every register generates (strictly) periodic sequences, i.e., no branch points. In this paper, a generic method for investigating nonsingular Galois NFSRs is provided. Two fundamental concepts that are standard Galois NFSRs and the simplified feedback function of a standard Galois NFSR are proposed. Based on the new concepts, a sufficient condition is given for nonsingular Galois NFSRs. In particular, for the class of Galois NFSRs with linear simplified feedback functions, a necessary and sufficient condition is presented. Hopefully, some new insights are provided on determining nonsingular Galois NFSRs.

Election verifiability is defined in the computational model of cryptography. The definition formalizes notions of voters verifying their own votes, auditors verifying the tally of votes, and auditors verifying that only eligible voters vote. The Helios (Adida et al., 2009), Helios-C (Cortier et al., 2014) and JCJ (Juels et al., 2010) election schemes are analyzed using the definition. Neither Helios nor Helios-C satisfy the definition because they do not ensure that recorded ballots are tallied in certain cases when the adversary posts malicious material on the bulletin board. A variant of Helios is proposed and shown to satisfy the definition. JCJ similarly does not ensure that recorded ballots are tallied in certain cases. Moreover, JCJ does not ensure that only eligible voters vote, due to a trust assumption it makes. A variant of JCJ is proposed and shown to satisfy a weakened definition that incorporates the trust assumption. Previous definitions of verifiability (Juels et al., 2010; Cortier et al., 2014; Kiayias et al., 2015) and definitions of global verifiability (Kuesters et al., 2010; Cortier et al., 2016) are shown to permit election schemes vulnerable to attacks, whereas the new definition prohibits those schemes. And a relationship between the new definition and a variant of global verifiability is shown.

Proofs of partial knowledge demonstrate the possession of certain subsets of witnesses for a given collection of statements $x_1,\dots,x_n$. Cramer, Damgård, and Schoenmakers (CDS), built proofs of partial knowledge, given ``atomic'' protocols for individual statements $x_i$, by having the prover randomly secret share the verifier's challenge and using the shares as challenges for the atomic protocols. This simple and highly-influential transformation has been used in numerous applications, ranging from anonymous credentials to ring signatures. We consider what happens if, instead of using the shares directly as challenges, the prover first hashes them. We show that this elementary enhancement can result in significant benefits: \begin{itemize} \item the proof contains a {\em single} atomic transcript per statement $x_i$, \item it suffices that the atomic protocols are $\kappa$-special sound for $\kappa \geq 2$, \item when compiled to a signature scheme using the Fiat-Shamir heuristic, its unforgeability can be proved in the {\em non-programmable} random oracle model. \end{itemize} None of the above features is satisfied by the CDS transformation.

We investigate the efficiency of a (module-)LWR-based PRF built using the GGM design. Our construction enjoys the security proof of the GGM construction and the (module-)LWR hardness assumption which is believed to be post-quantum secure. We propose GGM-based PRFs from PRGs with larger ratio of output to input. This reduces the number of PRG invocations which improves the PRF performance and reduces the security loss in the GGM security reduction. Our construction bridges the gap between practical and provably secure PRFs. We demonstrate the efficiency of our construction by providing parameters achieving at least 128-bit post-quantum security and optimized implementations utilizing AVX2 vector instructions. Our PRF requires, on average, only 39.4 cycles per output byte.

We consider the problem of round-optimal unbounded MPC: in the first round, parties publish a message that depends only on their input. In the second round, any subset of parties can jointly and securely compute any function $f$ over their inputs in a single round of broadcast. We do not impose any a-priori bound on the number of parties nor on the size of the functions that can be computed. Our main result is a semi-malicious two-round protocol for unbounded MPC in the plain model from the hardness of the standard learning with errors (LWE) problem. Prior work in the same setting assumes the hardness of problems over bilinear maps. Thus, our protocol is the first example of unbounded MPC that is post-quantum secure. The central ingredient of our protocol is a new scheme of attribute-based secure function evaluation (AB-SFE) with public decryption. Our construction combines techniques from the realm of homomorphic commitments with delegation of lattice basis. We believe that such a scheme may find further applications in the future.

Large semigroups and groups of transformations of finite affine space of dimension n with the option of computability of the composition of n arbitrarily chosen elements in polynomial time are described in the paper. Constructions of such families are given together with effectively computed homomorphisms between members of the family. These algebraic platforms allow us to define protocols for several generators of subsemigroup of affine Cremona semigroups with several outputs. Security of these protocols rests on the complexity of the word decomposition problem, It allows to introduce algebraic protocols expanded to cryptosystems of El Gamal type which are not a public key system. In particular symbiotic combination of these protocol of Noncommutative cryptography with one time pad encryption is given. Some of these nonclassical multivariate cryptosystems are implemented with platforms of cubical transformations.

Our main result in this work is the extension of the Ring-LWE problem in lattice-based cryptography to include algebraic lattices, realized through twisted embeddings. We define the class of problems Twisted Ring-LWE, which replaces the canonical embedding by an extended form. We prove that our generalization for Ring-LWE is secure by providing a security reduction from Ring-LWE to Twisted Ring-LWE in both search and decision forms. It is also shown that the addition of a new parameter, the torsion factor defining the twisted embedding, does not affect the asymptotic approximation factors in the worst-case to average-case reductions. Thus, Twisted Ring-LWE maintains the consolidated hardness guarantee of Ring-LWE and increases the existing scope of algebraic lattices that can be considered for cryptographic applications. Additionally, we expand on the results of Ducas and Durmus (Public-Key Cryptography, 2012) on spherical Gaussian distributions to the proposed class of lattices under certain restrictions. Thus, sampling from a spherical Gaussian distribution can be done directly in the respective number field, while maintaining its shape and standard deviation when seen in $\mathbb{R}^n$ via twisted embeddings.

We consider a set of security and privacy problems under reliability and storage constraints that can be tackled by using codes and particularly focus on the secret-key agreement problem. Polar subcodes (PSCs) are polar codes (PCs) with dynamically-frozen symbols and have a larger code minimum distance than PCs with only statically-frozen symbols. A randomized nested PSC construction, where the low-rate code is a PSC and the high-rate code is a PC, is proposed for successive cancellation list (SCL) and sequential decoders. This code construction aims to perform lossy compression with side information, i.e., Wyner-Ziv (WZ) coding. Nested PSCs are used in the key agreement problem with physical identifiers and two terminals since WZ-coding constructions significantly improve on Slepian-Wolf coding constructions such as fuzzy extractors. Significant gains in terms of the secret-key vs. storage rate ratio as compared to nested PCs with the same list sizes are illustrated to show that nested PSCs significantly improve on all existing code constructions. The performance of the nested PSCs is shown to improve with larger list sizes, unlike the nested PCs considered. A design procedure to efficiently construct nested PSCs and possible improvements to the nested PSC designs are also provided.

We study uncloneable quantum encryption schemes for classical messages as recently proposed by Broadbent and Lord. We focus on the information-theoretic setting and give several limitations on the structure and security of these schemes: Concretely, 1) We give an explicit cloning-indistinguishable attack that succeeds with probability $\frac12 + \mu/16$ where $\mu$ is related to the largest eigenvalue of the resulting quantum ciphertexts. 2) For a uniform message distribution, we partially characterize the scheme with the minimal success probability for cloning attacks. 3) Under natural symmetry conditions, we prove that the rank of the ciphertext density operators has to grow at least logarithmically in the number of messages to ensure uncloneable security. 4) The \emph{simultaneous} one-way-to-hiding (O2H) lemma is an important technique in recent works on uncloneable encryption and quantum copy protection. We give an explicit example which shatters the hope of reducing the multiplicative "security loss" constant in this lemma to below 9/8.

Branching program is an important component of indistinguishability obfuscation (IO) schemes, its size greatly influences the efficiencies of corresponding IO schemes. There are two major candidates of branching programs, Bar86 branching program and IK00 branching program. Bar86 branching program was shown to efficiently recognize NC$^1$ circuits. In specific, a Boolean circuit of depth $d$ can be recognized by a Bar86 branching program of length not larger than $4^d$ (Therefore of size not larger than $5^2 \times 4^d$). In this short paper we present similar result about IK00 branching program. We show that IK00 branching program efficiently recognizes NC$^1$ circuits, that is, a Boolean circuit of depth $d$ can be recognized by an IK00 branching program of size not larger than $(n+1) \times 4^d$, where $n$ is input length. Our result may be a negative evidence for IK00 branching program to efficiently recognize polynomial-time computable functions.

We extend a basic key agreement model with a hidden identifier source to a multi-user model with joint secrecy and privacy constraints over all entities that do not trust each other. Different entities that use different measurements of the same remote source through broadcast channels (BCs) to agree on mutually-independent local secret keys are considered. This model is the proper multi-user extension of the basic model since the encoder and decoder pairs are not assumed to trust other pairs, unlike assumed in the literature. Strong secrecy constraints imposed jointly on all secret keys, which is more stringent than separate secrecy leakage constraints for each secret key considered in the literature, are satisfied. Inner bounds for maximum key rate, and minimum privacy-leakage and storage rates are proposed for any finite number of entities. Inner and outer bounds for degraded and less-noisy BCs are given to illustrate cases with strong privacy. A multi-enrollment model that is used for common physical unclonable functions (PUFs) is also considered to establish inner and outer bounds for key-leakage-storage regions that differ only in the Markov chains imposed. For this special case, the encoder and decoder measurement channels have the same channel transition matrix and secrecy leakage is measured for each secret key separately. We illustrate cases for which it is useful to have multiple enrollments as compared to a single enrollment and vice versa.

Algebraic Manipulation Detection (AMD) codes [CDF+08] are keyless message authentication codes that protect messages against additive tampering by the adversary assuming that the adversary cannot "see" the codeword. For certain applications, it is unreasonable to assume that the adversary computes the added offset without any knowledge of the codeword c. Recently, Ahmadi and Safavi-Naini [AS13], and then Lin, Safavi-Naini, and Wang [LSW16] gave a construction of leakage-resilient AMD codes where the adversary has some partial information about the codeword before choosing added offset, and the scheme is secure even conditioned on this partial information. In this paper we show the bounds on the leakage rate r and the code rate k for leakage-resilient AMD codes. In particular we prove that 2r + k < 1 and for the weak case (security is averaged over a uniformly random message) r + k < 1. These bounds hold even if adversary is polynomial-time bounded, as long as we allow leakage function to be arbitrary. We present the constructions of AMD codes that (asymptotically) fulfill above bounds for almost full range of parameters r and k. This shows that above bounds and constructions are in-fact optimal. In the last section we show that if a leakage function is computationally bounded (we use Ideal Cipher Model) then it is possible to break these bounds.

Motivated by the goal of designing versatile and flexible secure computation protocols that at the same time require as little interaction as possible, we present new multiparty reusable Non-Interactive Secure Computation (mrNISC) protocols. This notion, recently introduced by Benhamouda and Lin (TCC 2020), is essentially two-round Multi-Party Computation (MPC) protocols where the first round of messages serves as a reusable commitment to the private inputs of participating parties. Using these commitments, any subset of parties can later compute any function of their choice on their respective inputs by just sending a single message to a stateless evaluator, conveying the result of the computation but nothing else. Importantly, the input commitments can be computed without knowing anything about other participating parties (neither their identities nor their number) and they are reusable across any number of desired computations. We give a construction of mrNISC that achieves standard simulation security, as classical multi-round MPC protocols achieve. Our construction relies on the Learning With Errors (LWE) assumption with polynomial modulus, and on the existence of a pseudorandom function (PRF) in $\mathsf{NC}^1$. We achieve semi-malicious security in the plain model and malicious security by further relying on trusted setup (which is unavoidable for mrNISC). In comparison, the only previously known constructions of mrNISC were either using bilinear maps or using strong primitives such as program obfuscation. We use our mrNISC to obtain new Multi-Key FHE (MKFHE) schemes with threshold decryption: $\bullet$ In the CRS model, we obtain threshold MKFHE for $\mathsf{NC}^1$ based on LWE with only $\textit{polynomial}$ modulus and PRFs in $\mathsf{NC}^1$, whereas all previous constructions rely on LWE with super-polynomial modulus-to-noise ratio. $\bullet$ In the plain model, we obtain threshold levelled MKFHE for $\mathsf{P}$ based on LWE with $\textit{polynomial}$ modulus, PRF in $\mathsf{NC}^1$, and NTRU, and another scheme for constant number of parties from LWE with sub-exponential modulus-to-noise ratio. The only known prior construction of threshold MKFHE (Ananth et al., TCC 2020) in the plain model restricts the set of parties who can compute together at the onset.

Despite the fundamental importance of delay functions, repeated squaring in RSA groups (Rivest, Shamir and Wagner '96) is the main candidate offering both a useful structure and a realistic level of practicality. Somewhat unsatisfyingly, its sequentiality is provided directly by assumption (i.e., the function is assumed to be a delay function). We prove sharp thresholds on the sequentiality of all generic-ring delay functions relative to an RSA modulus based on the hardness of factoring in the standard model. In particular, we show that generically speeding-up repeated squaring (even with a preprocessing stage and any polynomial number parallel processors) is equivalent to factoring. More generally, based on the (essential) hardness of factoring, we prove that any generic-ring function is in fact a delay function, admitting a sharp sequentiality threshold that is determined by our notion of sequentiality depth. Moreover, we show that generic-ring functions admit not only sharp sequentiality thresholds, but also sharp pseudorandomness thresholds.

Blockchain has been practiced in crypto-currencies and crossborder banking settlement. However, no clear evidence that a distributed ledger network (or Blockchain) is built within domestic payment systems, although many experts believe that Blockchain has wide applicability in various industries and disciplines. As the author’s best knowledge, no one has published a clear architecture and a feasible framework for a Blockchain-based banking network. Thus, \how Blockchain can be implemented in domestic banking systems" is a big challenge. The most important contribution of this work is to give a feasible and viable framework resolving that problem. The author investigates a Blockchain-based payment framework, more explicitly, a decentralized banking architecture running on the top of existing banking cores. The Blockchain network has two tiers: master nodes (block generators) and normal nodes (validators). The consensus mechanism is introduced as a composition of Proof of Stake, Proof of Reputation and/or practical Byzantine Fault Tolerance. In addition, nomination and approval mechanisms are added to the governance to enhance legal compliance and compatibility with real Fintech space. Some qualitative analysis is provided to show that the proposed Blockchain banking framework offers better security, scalability and decentralization, while easily adapt with different national regulation environments, among other Blockchains. In the application aspects, the framework is implementable and deployable for decentralized payment network and smartcontract infrastructure for domestic markets, then enable a complete and unified digitized space for cloud banking and financial services.

We prove that the module learning with errors (M-LWE) problem with arbitrary polynomial-sized modulus p is classically at least as hard as standard worst-case lattice problems, as long as the module rank d is not smaller than the number field degree n. Previous publications only showed the hardness under quantum reductions. We achieve this result in an analogous manner as in the case of the learning with errors (LWE) problem. First, we show the classical hardness of M-LWE with an exponential-sized modulus. In a second step, we prove the hardness of M-LWE using a binary secret. And finally, we provide a modulus reduction technique. The complete result applies to the class of power-of-two cyclotomic fields. However, several tools hold for more general classes of number fields and may be of independent interest.

Ring-SIS based $\Sigma$-protocols require the construction of a challenge set $\mathcal{C}$ in some ring $R$, usually an order in a number field $L$. These protocols impose various requirements on the subset $\mathcal{C}$, and constructing a good or even optimal challenge set is a non-trivial task that involves making various trade-offs. </p> In particular, the set $\mathcal{C}$ should be 'large', elements in $\mathcal{C}$ should be 'small', differences of distinct elements in $\mathcal{C}$ should be invertible modulo a rational prime $p$, this prime $p$ should be small, and finally primes $p$ that split in many factors are favorable. Clearly, these requirements on $\mathcal{C}$ require certain trade-offs. The splitting behavior and size of the prime $p$, for example, influence the invertibility condition. </p> Given an order $\mathcal{O}$ in an arbitrary number field $L$, this work aims at constructing subsets $\mathcal{C} \subset \mathcal{O}$ with precisely the above mentioned properties. Cyclotomic number fields possess some convenient properties and as a result most protocols are defined over these specific fields. However, recent attacks have shown that these convenient properties might also be of use to an attacker, thereby weakening or even breaking the cryptographic schemes. </p> In this paper, we show that a known result on constructing challenge sets in cyclotomic number fields (Lyubashevsky and Seiler 2018) follows from standard Galois theory, thereby simplifying the proof. In addition, this approach leads to a natural generalization from cyclotomic to arbitrary number fields. Along the way we prove a conjectured result on the practical applicability for cyclotomic number fields and prove the optimality of certain constructions. We apply the generalization to construct challenge sets in trinomial number fields of the form $\mathbb{Q}[X]/(f)$ with $f=X^n+aX^k+b \in \mathbb{Z}[X]$ irreducible. Finally, we find a new construction for challenge sets resulting in smaller prime sizes at the cost of slightly increasing the $\ell_2$-norm of the challenges.

All-or-nothing transforms have been defined as bijective mappings on all s-tuples over a specified finite alphabet. These mappings are required to satisfy certain "perfect security" conditions specified using entropies of the probability distribution defined on the input s-tuples. Alternatively, purely combinatorial definitions of AONTs have been given, which involve certain kinds of "unbiased arrays". However, the combinatorial definition makes no reference to probability definitions. In this paper, we examine the security provided by AONTs that satisfy the combinatorial definition. The security of the AONT can depend on the underlying probability distribution of the s-tuples. We show that perfect security is obtained from an AONT if and only if the input s-tuples are equiprobable. However, in the case where the input s-tuples are not equiprobable, we still achieve a weaker security guarantee. We also consider the use of randomized AONTs to provide perfect security for a smaller number of inputs, even when those inputs are not equiprobable.

Blind signatures, introduced by Chaum (Crypto’82), allows a user to obtain a signature on a message without revealing the message itself to the signer. Thus far, all existing constructions of round-optimal blind signatures are known to require one of the following: a trusted setup, an interactive assumption, or complexity leveraging. This state-of-the-affair is somewhat justified by the few known impossibility results on constructions of round-optimal blind signatures in the plain model (i.e., without trusted setup) from standard assumptions. However, since all of these impossibility results only hold under some conditions, fully (dis)proving the existence of such round-optimal blind signatures has remained open. In this work, we provide an affirmative answer to this problem and construct the first round-optimal blind signature scheme in the plain model from standard polynomial-time assumptions. Our construction is based on various standard cryptographic primitives and also on new primitives that we introduce in this work, all of which are instantiable from classical and post-quantum standard polynomial-time assumptions. The main building block of our scheme is a new primitive called a blind-signature-conforming zero-knowledge (ZK) argument system. The distinguishing feature is that the ZK property holds by using a quantum polynomial-time simulator against non-uniform classical polynomial-time adversaries. Syntactically one can view this as a delayed-input three-move ZK argument with a reusable first message, and we believe it would be of independent interest.

An (n,m)-function is a mapping from GF(2^n) to GF(2^m). Such functions have numerous applications across mathematics and computer science, and in particular are used as building blocks of block ciphers in symmetric cryptography. The classes of APN and AB functions have been identified as cryptographically optimal with respect to providing resistance against two of the most powerful known cryptanalytic attacks, namely differential and linear cryptanalysis. The classes of APN and AB functions are directly related to optimal objects in many other branches of mathematics, and have been a subject of intense study since at least the early 90's. Finding new constructions of these functions is hard; one of the most significant practical issues is that any tentatively new function must be proven inequivalent to all the known ones. Testing equivalence can be significantly simplified by computing invariants, i.e. properties that are preserved by the appropriate equivalence relation. In this paper, we survey the known invariants for CCZ- and EA-equivalence, with a particular focus on their utility in distinguishing between inequivalent instances of APN and AB functions. We evaluate each invariant with respect to how easy it is to implement in practice, how efficiently it can be calculated on a computer, and how well it can distinguish between distinct EA- and CCZ-equivalence classes.

In a seminal work, Micali (FOCS 1994) gave the first succinct non-interactive argument (SNARG) in the random oracle model (ROM). The construction combines a PCP and a cryptographic commitment, and has several attractive features: it is plausibly post-quantum; it can be heuristically instantiated via lightweight cryptography; and it has a transparent (public-coin) parameter setup. However, it also has a significant drawback: a large argument size. In this work, we provide a new construction that achieves a smaller argument size. This is the first progress on the Micali construction since it was introduced over 25 years ago. A SNARG in the ROM is *$(t,\epsilon)$-secure* if every t-query malicious prover can convince the verifier of a false statement with probability at most &#949;. For $(t,\epsilon)$-security, the argument size of all known SNARGs in the ROM (including Micali's) is $\tilde{O}((\log (t/\epsilon))^2)$ bits, *even* if one were to rely on conjectured probabilistic proofs well beyond current techniques. In practice, these costs lead to SNARGs that are much larger than constructions based on other (pre-quantum and costly) tools. This has led many to believe that SNARGs in the ROM are inherently quadratic. We show that this is not the case. We present a SNARG in the ROM with a sub-quadratic argument size: $\tilde{O}(\log (t/\epsilon) \cdot \log t)$. Our construction relies on a strong soundness notion for PCPs and a weak binding notion for commitments. We hope that our work paves the way for understanding if a linear argument size, that is $O(\log (t/\epsilon))$, is achievable in the ROM.

Shortly after the introduction of zero-knowledge proofs, Goldreich, Micali and Wigderson (CRYPTO '86) demonstrated their wide applicability by constructing zero-knowledge proofs for the NP-complete problem of graph 3-coloring. A long-standing open question has been whether parallel repetition of their protocol preserves zero knowledge. In this work, we answer this question in the negative, assuming a standard cryptographic assumption (i.e., the hardness of learning with errors (LWE)). Leveraging a connection observed by Dwork, Naor, Reingold, and Stockmeyer (FOCS '99), our negative result is obtained by making positive progress on a related fundamental problem in cryptography: securely instantiating the Fiat-Shamir heuristic for eliminating interaction in public-coin interactive protocols. A recent line of works has shown how to instantiate the heuristic securely, albeit only for a limited class of protocols. Our main result shows how to instantiate Fiat-Shamir for parallel repetitions of much more general interactive proofs. In particular, we construct hash functions that, assuming LWE, securely realize the Fiat-Shamir transform for the following rich classes of protocols: - The parallel repetition of any ``commit-and-open'' protocol (such as the GMW protocol mentioned above), when a specific (natural) commitment scheme is used. Commit-and-open protocols are a ubiquitous paradigm for constructing general purpose public-coin zero knowledge proofs. - The parallel repetition of any base protocol that (1) satisfies a stronger notion of soundness called round-by-round soundness, and (2) has an efficient procedure, using a suitable trapdoor, for recognizing ``bad verifier randomness'' that would allow the prover to cheat. Our results are obtained by establishing a new connection between the Fiat-Shamir transform and list-recoverable codes. In contrast to the usual focus in coding theory, we focus on a parameter regime in which the input lists are extremely large, but the rate can be small. We give a (probabilistic) construction based on Parvaresh-Vardy codes (FOCS '05) that suffices for our applications.

In this paper, we study relationship between security of cryptographic schemes in the random oracle model (ROM) and quantum random oracle model (QROM). First, we introduce a notion of a proof of quantum access to a random oracle (PoQRO), which is a protocol to prove the capability to quantumly access a random oracle to a classical verifier. We observe that a proof of quantumness recently proposed by Brakerski et al. (TQC '20) can be seen as a PoQRO. We also give a construction of a publicly verifiable PoQRO relative to a classical oracle. Based on them, we construct digital signature and public key encryption schemes that are secure in the ROM but insecure in the QROM. In particular, we obtain the first examples of natural cryptographic schemes that separate the ROM and QROM under a standard cryptographic assumption. On the other hand, we give lifting theorems from security in the ROM to that in the QROM for certain types of cryptographic schemes and security notions. For example, our lifting theorems are applicable to Fiat-Shamir non-interactive arguments, Fiat-Shamir signatures, and Full-Domain-Hash signatures etc. We also discuss applications of our lifting theorems to quantum query complexity.

We introduce a natural generalization of two-source non-malleable extractors (Cheragachi and Guruswami, TCC 2014) called as \textit{multi-source non-malleable extractors}. Multi-source non-malleable extractors are special independent source extractors which satisfy an additional non-malleability property. This property requires that the output of the extractor remains close to uniform even conditioned on its output generated by tampering {\it several sources together}. We formally define this primitive, give a construction that is secure against a wide class of tampering functions, and provide applications. More specifically, we obtain the following results: \begin{itemize} \item For any $s \geq 2$, we give an explicit construction of a $s$-source non-malleable extractor for min-entropy $\Omega(n)$ and error $2^{-n^{\Omega(1)}}$ in the {\it overlapping joint tampering model}. This means that each tampered source could depend on any strict subset of all the sources and the sets corresponding to each tampered source could be overlapping in a way that we define. Prior to our work, there were no known explicit constructions that were secure even against disjoint tampering (where the sets are required to be disjoint without any overlap). %Our extractor is pre-image sampleable and hence, gives rise to non-malleable codes against the same tampering family. % \item We show how to efficiently preimage sample given the output of (a variant of) our extractor and this immediately gives rise to a $s$-state non-malleable code secure in the overlapping joint tampering model (via a generalization of the result by Cheragachi and Guruswami). \item We adapt the techniques used in the above construction to give a $t$-out-of-$n$ non-malleable secret sharing scheme (Goyal and Kumar, STOC 2018) for any $t \leq n$ in the \emph{disjoint tampering model}. This is the first general construction of a threshold non-malleable secret sharing (NMSS) scheme in the disjoint tampering model. All prior constructions had a restriction that the size of the tampered subsets could not be equal. \item We further adapt the techniques used in the above construction to give a $t$-out-of-$n$ non-malleable secret sharing scheme (Goyal and Kumar, STOC 2018) for any $t \leq n$ in the \emph{overlapping joint tampering model}. This is the first construction of a threshold NMSS in the overlapping joint tampering model. \item We show that a stronger notion of $s$-source non-malleable extractor that is multi-tamperable against disjoint tampering functions gives a single round network extractor protocol (Kalai et al., FOCS 2008) with attractive features. Plugging in with a new construction of multi-tamperable, 2-source non-malleable extractors provided in our work, we get a network extractor protocol for min-entropy $\Omega(n)$ that tolerates an {\it optimum} number ($t = p-2$) of faulty processors and extracts random bits for {\it every} honest processor. The prior network extractor protocols could only tolerate $t = \Omega(p)$ faulty processors and failed to extract uniform random bits for a fraction of the honest processors. \end{itemize}

We prove two classes of lower bounds on the communication complexity of information-theoretically secure multiparty computation. The first lower bound applies to perfect passive secure multiparty computation, in the standard model with $n=2t+1$ parties of which $t$ are corrupted. We show a lower bound that applies to secure evaluation of any function, assuming that each party can choose to learn to learn or not learn the output. Specifically, we show that there is a function $H^*$ such that for any protocol that evaluates $y_i=b_i \cdot f(x_1,...,x_n)$ with perfect passive security (where $b_i$ is a private boolean input), the total communication must be at least $\frac{1}{2} \sum_{i=1}^n H_f^*(x_i)$ bits of information. The second lower bound applies to the perfect maliciously secure setting with $n=3t+1$ parties. We show that for any $n$ and all large enough $S$, there exists a reactive functionality $F_S$ taking an $S$-bit string as input (and with short output) such that any protocol implementing $F_S$ with perfect malicious security must communicate $\Omega(nS)$ bits. Since the functionalities we study can be implemented with linear size circuits, the result can equivalently be stated as follows: for any $n$ and all large enough $g \in \mathbb{N}$ there exists a reactive functionality $F_C$ doing computation specified by a Boolean circuit $C$ with $g$ gates, where any perfectly secure protocol implementing $F_C$ must communicate $\Omega(n g)$ bits. The results easily extends to constructing similar functionalities defined over any fixed finite field. Using known techniques, we also show an upper bound that matches the lower bound up to a constant factor (existing upper bounds are a factor $\log n$ off for Boolean circuits). Both results also extend to the case where the threshold $t$ is suboptimal. Namely if $n=kt+s$ the bound is weakened by a factor $O(s)$, which corresponds to known optimizations via packed secret-sharing.

Several recent proposals of efficient public-key encryption are based on variants of the polynomial learning with errors problem ($\mathsf{PLWE}^f$) in which the underlying polynomial ring $\mathbb{Z}_q[x]/f$ \ is replaced with the (related) modular integer ring $\mathbb{Z}_{f(q)}$; the corresponding problem is known as Integer Polynomial Learning with Errors ($\mathsf{I-PLWE}^f$). Cryptosystems based on $\mathsf{I-PLWE}^f$ and its variants can exploit optimised big-integer arithmetic to achieve good practical performance, as exhibited by the $\mathsf{ThreeBears}$ cryptosystem. Unfortunately, the average-case hardness of $\mathsf{I-PLWE}^f$ and its relation to more established lattice problems have to date remained unclear. We describe the first polynomial-time average-case reductions for the search variant of $\mathsf{I-PLWE}^f$, proving its computational equivalence with the search variant of its counterpart problem $\mathsf{PLWE}^f$. Our reductions apply to a large class of defining polynomials $f$. To obtain our results, we employ a careful adaptation of Rényi divergence analysis techniques to bound the impact of the integer ring arithmetic carries on the error distributions. As an application, we present a deterministic public-key cryptosystem over integer rings. Our cryptosystem, which resembles $\mathsf{ThreeBears}$, enjoys one-way (OW-CPA) security provably based on the search variant of $\mathsf{I-PLWE}^f$.

We prove that the Module Learning With Errors (M-LWE) problem with binary secrets and rank $d$ is at least as hard as the standard version of M-LWE with uniform secret and rank $k$, where the rank increases from $k$ to $d \geq (k+1)\log_2 q + \omega(\log_2 n)$, and the Gaussian noise from $\alpha$ to $\beta = \alpha \cdot \Theta(n^2\sqrt{d})$, where $n$ is the ring degree and $q$ the modulus. Our work improves on the recent work by Boudgoust et al. in 2020 by a factor of $\sqrt{md}$ in the Gaussian noise, where $m$ is the number of given M-LWE samples, when $q$ fulfills some number-theoretic requirements. We use a different approach than Boudgoust et al. to achieve this hardness result by adapting the previous work from Brakerski et al. in 2013 for the Learning With Errors problem to the module setting. The proof applies to cyclotomic fields, but most results hold for a larger class of number fields, and may be of independent interest.

The random oracle, generic group, and generic bilinear map models (ROM, GGM, GBM, respectively) are fundamental heuristics used to justify new computational assumptions and prove the security of efficient cryptosystems. While known to be invalid in some contrived settings, the heuristics generally seem reasonable for real-world applications. In this work, we ask: \emph{which heuristics are closer to reality?} Or conversely, which heuristics are a larger leap? We answer this question through the framework of computational indifferentiability, showing that the ROM is a strictly ``milder'' heuristic than the GGM, which in turn is strictly milder than the GBM. While this may seem like the expected outcome, we explain why it does not follow from prior works and is not the a priori obvious conclusion. In order to prove our results, we develop new ideas for proving computational indifferentiable separations.

Suppose that a problem $\Pi$ has a statistical zero-knowledge (SZK) proof with communication complexity $m$. The question of batch verification for SZK asks whether one can prove that $k$ instances $x_1,\ldots,x_k$ all belong to $\Pi$ with a statistical zero-knowledge proof whose communication complexity is better than $k \cdot m$ (which is the complexity of the trivial solution of executing the original protocol independently on each input). In a recent work, Kaslasi et al. (TCC, 2020) constructed such a batch verification protocol for any problem having a non-interactive SZK (NISZK) proof-system. Two drawbacks of their result are that their protocol is private-coin and is only zero-knowledge with respect to the honest verifier. In this work, we eliminate these two drawbacks by constructing a public-coin malicious-verifier SZK protocol for batch verification of NISZK. Similarly to the aforementioned prior work, the communication complexity of our protocol is $\big(k+poly(m) \big) \cdot polylog(k,m)$.

Efficient Reed-Solomon code reconstruction algorithms, for example, by Guruswami and Wootters (STOC--2016), translate into local leakage attacks on Shamir secret-sharing schemes over characteristic-2 fields. However, Benhamouda, Degwekar, Ishai, and Rabin (CRYPTO--2018) showed that the Shamir secret sharing scheme over prime-fields is leakage resilient to one-bit local leakage if the reconstruction threshold is roughly 0.87 times the total number of parties. In several application scenarios, like secure multi-party multiplication, the reconstruction threshold must be at most half the number of parties. Furthermore, the number of leakage bits that the Shamir secret sharing scheme is resilient to is also unclear. Towards this objective, we study the Shamir secret-sharing scheme's leakage-resilience over a prime-field $F$. The parties' secret-shares, which are elements in the finite field $F$, are naturally represented as $\lambda$-bit binary strings representing the elements $\{0,1,\dotsc,p-1\}$. In our leakage model, the adversary can independently probe $m$ bit-locations from each secret share. The inspiration for considering this leakage model stems from the impact that the study of oblivious transfer combiners had on general correlation extraction algorithms, and the significant influence of protecting circuits from probing attacks has on leakage-resilient secure computation. Consider arbitrary reconstruction threshold $k\geq 2$, physical bit-leakage parameter $m\geq 1$, and the number of parties $n\geq 1$. We prove that Shamir's secret-sharing scheme with random evaluation places is leakage-resilient with high probability when the order of the field $F$ is sufficiently large; ignoring polylogarithmic factors, one needs to ensure that $\log \abs F \geq n/k$. Our result, excluding polylogarithmic factors, states that Shamir's scheme is secure as long as the total amount of leakage $m\cdot n$ is less than the entropy $k\cdot\lambda$ introduced by the Shamir secret-sharing scheme. Note that our result holds even for small constant values of the reconstruction threshold $k$, which is essential to several application scenarios. To complement this positive result, we present a physical-bit leakage attack for $m=1$ physical bit-leakage from $n=k$ secret shares and any prime-field $F$ satisfying $\abs F=1\mod k$. In particular, there are (roughly) $\abs F^{n-k+1}$ such vulnerable choices for the $n$-tuple of evaluation places. We lower-bound the advantage of this attack for small values of the reconstruction threshold, like $k=2$ and $k=3$, and any $\abs F=1\mod k$. In general, we present a formula calculating our attack's advantage for every $k$ as $\abs F\rightarrow\infty.$ Technically, our positive result relies on Fourier analysis, analytic properties of proper rank-$r$ generalized arithmetic progressions, and Bézout's theorem to bound the number of solutions to an equation over finite fields. The analysis of our attack relies on determining the ``discrepancy'' of the Irwin-Hall distribution. A probability distribution's discrepancy is a new property of distributions that our work introduces, which is of potential independent interest.

Oblivious RAM (ORAM), first introduced in the ground-breaking work of Goldreich and Ostrovsky (STOC '87 and J. ACM '96) is a technique for provably obfuscating programs' access patterns, such that the access patterns leak no information about the programs' secret inputs. To compile a general program to an oblivious counterpart, it is well-known that $\Omega(\log N)$ amortized blowup is necessary, where $N$ is the size of the logical memory. This was shown in Goldreich and Ostrovksy's original ORAM work for statistical security and in a somewhat restricted model (the so called balls-and-bins model), and recently by Larsen and Nielsen (CRYPTO '18) for computational security. A long standing open question is whether there exists an optimal ORAM construction that matches the aforementioned logarithmic lower bounds (without making large memory word assumptions, and assuming a constant number of CPU registers). In this paper, we resolve this problem and present the first secure ORAM with $O(\log N)$ amortized blowup, assuming one-way functions. Our result is inspired by and non-trivially improves on the recent beautiful work of Patel et al. (FOCS '18) who gave a construction with $O(\log N\cdot \log\log N)$ amortized blowup, assuming one-way functions. One of our building blocks of independent interest is a linear-time deterministic oblivious algorithm for tight compaction: Given an array of $n$ elements where some elements are marked, we permute the elements in the array so that all marked elements end up in the front of the array. Our $O(n)$ algorithm improves the previously best known deterministic or randomized algorithms whose running time is $O(n \cdot\log n)$ or $O(n \cdot\log \log n)$, respectively.

Lattice-based cryptographic scheme is constructed based on hard problems on an algebraic structured lattice such as the short integer solution (SIS) problems. These problems are called ring-SIS (R-SIS) and its generalized version, module-SIS (M-SIS). Generally, it has been considered that problems defined on the module-lattice are more difficult than the problems defined on the ideal-lattice. However, Koo, No, and Kim showed that R-SIS is more difficult than M-SIS under some norm constraints of R-SIS. However, this reduction has problems that the rank of the module is limited to about half of the instances of R-SIS, and the comparison is not performed through the same modulus of R-SIS and M-SIS. In this paper, we propose that R-SIS is more difficult than M-SIS with the same modulus under some constraint of R-SIS. Also, we show that R-SIS with the modulus prime $q$ is more difficult than M-SIS with the composite modulus $c$ such that $c$ is divided by $q$. In particular, it shows that through the reduction from M-SIS to R-SIS with the same modulus, the rank of the module is extended as much as the number of instances of R-SIS from half of the number of instances of R-SIS. Finally, this paper shows that R-SIS is more difficult than M-SIS under some constraint, which is tighter than the M-SIS in the previous work.

Randomness is an essential resource for cryptography. For practical randomness generation, the security notion of pseudorandom generators (PRGs) intends to automatically preserve (computational) security of cryptosystems when used in implementation. Nevertheless, some opposite case such as in computational randomness extractors (Barak et al., CRYPTO 2011) is known (but not yet systematically studied so far) where the security can be lost even by applying secure PRGs. The present paper aims at pushing ahead the observation and understanding about such a phenomenon; we reveal such situations at layers of primitives and protocols as well, not just of building blocks like randomness extractors. We present three typical types of such cases: (1) adversaries can legally see the seed of the PRGs (including the case of randomness extractors); (2) the set of "bad'' randomness may be not efficiently recognizable; (3) the formulation of a desired property implicitly involves non-uniform distinguishers for PRGs. We point out that the semi-honest security of multiparty computation also belongs to Type 1, while the correctness with negligible decryption error probability for public key encryption belongs to Types 2 and 3. We construct examples for each type where a secure PRG (against uniform distinguishers only, for Type 3) does not preserve the security/correctness of the original scheme; and discuss some countermeasures to avoid such an issue.

The Fiat-Shamir transform is a general method for reducing interaction in public-coin protocols by replacing the random verifier messages with deterministic hashes of the protocol transcript. The soundness of this transformation is usually heuristic and lacks a formal security proof. Instead, to argue security, one can rely on the random oracle methodology, which informally states that whenever a random oracle soundly instantiates Fiat-Shamir, a hash function that is ``sufficiently unstructured'' (such as fixed-length SHA-2) should suffice. Finally, for some special interactive protocols, it is known how to (1) isolate a concrete security property of a hash function that suffices to instantiate Fiat-Shamir and (2) build a hash function satisfying this property under a cryptographic assumption such as Learning with Errors. In this work, we abandon this methodology and ask whether Fiat-Shamir truly requires a cryptographic hash function. Perhaps surprisingly, we show that in two of its most common applications --- building signature schemes as well as (general-purpose) non-interactive zero-knowledge arguments --- there are sound Fiat-Shamir instantiations using extremely simple and non-cryptographic hash functions such as sum-mod-p or bit decomposition. In some cases, we make idealized assumptions about the interactive protocol (i.e., we invoke the generic group model), while in others, we argue soundness in the plain model. At a high level, the security of each resulting non-interactive protocol derives from hard problems already implicit in the original interactive protocol. On the other hand, we also identify important cases in which a cryptographic hash function is provably necessary to instantiate Fiat-Shamir. We hope that this work leads to an improved understanding of the precise role of the hash function in the Fiat-Shamir transformation.

Fuzzy extractors transform a noisy source e into a stable key which can be reproduced from a nearby value e&#8242;. They are a fundamental tool for key derivation from biometric sources. This work introduces code offset in the exponent and uses this construction to build the first reusable fuzzy extractor that simultaneously supports structured, low entropy distributions with correlated symbols and confidence information. These properties are specifically motivated by the most pertinent applications—key derivation from biometrics and physical unclonable functions—which typically demonstrate low entropy with additional statistical correlations and benefit from extractors that can leverage confidence information for efficiency. Code offset in the exponent is a group encoding of the code offset construction (Juels and Wattenberg, CCS 1999) that stores the value e in a one-time pad which is sampled as a codeword, Ax, of a linear error-correcting code: Ax+e. Rather than encoding Ax+e directly, code offset in the exponent calls for encoding by exponentiation of a generator in a cryptographically strong group. We demonstrate security of the construction in the generic group model, establishing security whenever the inner product between the error distribution and all vectors in the null space of the code is unpredictable. We show this condition includes distributions supported by multiple prior fuzzy extractors. Our analysis also shows a prior construction of pattern matching obfuscation (Bishop et al., Crypto 2018) is secure for more distributions than previously known.

Zero-knowledge succinct non-interactive arguments (zk-SNARKs) rely on knowledge assumptions for their security. Meanwhile, as the complexity and scale of cryptographic systems continues to grow, the composition of secure protocols is of vital importance. The current gold standards of composable security, the Universal Composability and Constructive Cryptography frameworks cannot capture knowledge assumptions, as their core proofs of composition prohibit white-box extraction. In this paper, we present a formal model allowing the composition of knowledge assumptions. Despite showing impossibility for the general case, we demonstrate the model’s usefulness when limiting knowledge assumptions to few instances of protocols at a time. We finish by providing the first instance of a simultaneously succinct and composable zk-SNARK, by using existing results within our framework.

We present MAGIC, a mode for authenticated encryption that simultaneously supports encryption, message authentication and error correction, all with the same code. In MAGIC, the same code employed for cryptographic integrity is also the parity used for error correction. To correct errors, MAGIC employs the Galois Hash transformation, which due to its bit linearity can perform corrections in a similar way as other codes do (e.g., Reed Solomon). To provide a cryptographically strong MAC, MAGIC encrypts the output of the Galois Hash using a secret key. To analyze the security of this construction we adapt the definition of the MAC adversary so that it is applicable to systems that combine message authentication with error correction. We demonstrate that MAGIC offers security in the order of O(2 to the N/2) with N being the tag size.

Consider a sender S and a group and of n recipients. S holds a secret message m of length l bits and the goal is to allow S to create a secret sharing of m with privacy threshold t among the recipients, by broadcasting a single message c to the recipients. Our goal is to do this with information theoretic security in a model with a simple form of correlated randomness. Namely, for each subset A of recipients of size q, S may share a secret random bit string with all recipients in A. We call this Broadcast Secret-Sharing (BSS) with parameters l, n, t and q. Our main question is: how large must c be, as a function of the parameters? We show that l(n-t)/q is a lower bound, and we show an upper bound of l((n(t+1))/(q+t)-t), matching the lower bound whenever t = 0, or when q = 1 or n-t. When q = n-t, the size of c is exactly l which is clearly minimal. The protocol demonstrating the upper bound in this case requires S to share a key with every subset of size n-t. We show that this overhead cannot be avoided when c has minimal size. We also show that if access is additionally given to an idealized PRG, the lower bound on ciphertext size becomes (k(n-t)/q)+l-negl(k) (where k is the length of the input to the PRG). The upper bound becomes k((n(t+1))/(q+t)-t)+l. BSS can be applied directly to secret-key threshold encryption. We can also consider a setting where the correlated randomness is generated using computationally secure and non-interactive key exchange, where we assume that each recipient has an (independently generated) public key for this purpose. In this model, any protocol for non-interactive secret sharing becomes an ad hoc threshold encryption (ATE) scheme, which is a threshold encryption scheme with no trusted setup beyond a PKI. Our upper bounds imply new ATE schemes, and our lower bound becomes a lower bound on the ciphertext size in any ATE scheme that uses a key exchange functionality and no other cryptographic primitives.

Cryptography is used since the Antiquity to securely transmit messages. Thanks to a key that is shared between parties, the armies have been able to securely send commands and information to a distant unit. In the middle of the Twentieth Century, cryptography has experienced a drastic evolution and has become even more widespread, thanks to the development of computer science and the democratization of the digitization of the data transmitted between people. In particular, cryptologists Whitfield Diffie and Martin Hellman invented in 1976 the concept of public key cryptography, revolutionizing the way data can be protected, and paving the way to a new kind of cryptography that can be used for much more than data confidentiality. CYBERCRYPT is a collaborative and educational game that allows people to understand basic cryptographic mechanisms. It allows to discover from the oldest techniques (Scytale, Caesar and Vernam's encryption, Enigma machine) to most recent ones, currently implemented in our daily transactions (electronic signature, key exchange, etc.). CYBERCRYPT allows, through several rich and comprehensive workshops, to discover the different techniques used in cryptography, and also highlights the crucial importance of cryptography to protect our digital daily life.

Federated learning (FL) allows to train a massive amount of data privately due to its decentralized structure. Stochastic gradient descent (SGD) is commonly used for FL due to its good empirical performance, but sensitive user information can still be inferred from weight updates shared during FL iterations. We consider Gaussian mechanisms to preserve local differential privacy (LDP) of user data in the FL model with SGD. The trade-offs between user privacy, global utility, and transmission rate are proved by defining appropriate metrics for FL with LDP. Compared to existing results, the query sensitivity used in LDP is defined as a variable and a tighter privacy accounting method is applied. The proposed utility bound allows heterogeneous parameters over all users. Our bounds characterize how much utility decreases and transmission rate increases if a stronger privacy regime is targeted. Furthermore, given a target privacy level, our results guarantee a significantly larger utility and a smaller transmission rate as compared to existing privacy accounting methods.

There is a significant interest in securely computing functionalities with guaranteed output delivery, \aka, fair computation. For example, consider a 2-party $n$-round coin-tossing protocol in the information-theoretic setting. Even if one party aborts during the protocol execution, the other party has to receive her outcome. Towards this objective, every round, the sender of that round's message, preemptively prepares a defense coin, which is her output if the other party aborts prematurely. Cleve and Impagliazzo (1993), Beimel, Haitner, Makriyannis, and Omri (2018), and Khorasgani, Maji, and Mukherjee (2019) show that a fail-stop adversary can alter the distribution of the outcome by $\Omega\left(1/\sqrt n\right)$. This hardness of computation result for the representative coin-tossing functionality (using a partition argument) extends to the fair evaluation of any functionality whose output is not apriori fixed and honest parties are not in the majority. However, there are natural scenarios in the delegation of computation where it is infeasible for the parties to update their defenses during every round of the protocol evolution. For example, when parties delegate, say, their coin-tossing task to an external server, due to high network latency, the parties cannot stay abreast of the progress of the fast protocol running on the server and keep their defense coins in sync with that protocol. Therefore, this paper considers lazy coin-tossing protocols, where parties update their defense coins only a total of $d$ times during the protocol execution. Is it possible that using only $d\ll n$ defense coin updates, a fair coin-tossing protocol is robust to $\mathcal{O}\left(1/\sqrt n\right)$ change in their output distribution? This paper proves that being robust to $\mathcal{O}\left(1/\sqrt n\right)$ change in the output distribution necessarily requires that the defense complexity $d=\Omega(n)$, thus ruling out the possibility mentioned above. More generally, our work proves that a fail-stop adversary can bias the outcome distribution of a coin-tossing protocol by $\Omega\left(1/\sqrt d\right)$, a qualitatively better attack than the previous state-of-the-art when $d=o(n)$. This hardness of computation results extends to the fair evaluation of arbitrary functionalities as well. That is, the defense complexity of the protocol, not its round complexity, determines its security. We emphasize that the rounds where parties calculate their defense coins need not be apriori fixed; they may depend on the protocol's evolution itself. Finally, we translate this fail-stop adversarial attack into new black-box separation results. The proof relies on an inductive argument using a carefully crafted potential function to precisely account for the quality of the best attack on coin-tossing protocols. Previous approaches fail when the protocol evolution reveals information about the defense coins of both the parties, which is inevitable in lazy coin-tossing protocols. Our analysis decouples the defense complexity of coin-tossing protocols from its round complexity to guarantee fail-stop attacks whose performance depends only on the defense complexity of the coin-tossing protocol, irrespective of their round complexity. Our paper, to complement this hardness of computation result, introduces a coin-tossing protocol with a private defense update strategy, \ie, the defense update round is not publicly measurable, using $d=n^{1-\lambda}$ defense updates (in expectation) to achieve $\mathcal{O}\left(1/\sqrt n\right)$ robustness, where $\lambda$ is an appropriate positive constant.

Succinct non-interactive arguments (SNARGs) enable proofs of NP statements with very low communication. Recently, there has been significant work in both theory and practice on constructing SNARGs with very short proofs. Currently, the state-of-the-art in succinctness is due to Groth (Eurocrypt 2016) who constructed a SNARG from bilinear maps where the proof consists of just 3 group elements. In this work, we first construct a concretely-efficient designated-verifier (preprocessing) SNARG with inverse polynomial soundness, where the proof consists of just 2 group elements in a standard (generic) group. This leads to a 50% reduction in concrete proof size compared to Groth's construction. We follow the approach of Bitansky et al. (TCC 2013) who describe a compiler from linear PCPs to SNARGs in the preprocessing model. Our improvement is based on a new linear PCP packing technique that allows us to construct 1-query linear PCPs which can then be compiled into a SNARG (using ElGamal encryption over a generic group). An appealing feature of our new SNARG is that the verifier can precompute a statement-independent lookup table in an offline phase; verifying proofs then only requires 2 exponentiations and a single table lookup. This makes our new designated-verifier SNARG appealing in settings that demand fast verification and minimal communication. We then turn to the question of constructing arguments where the proof consists of a single group element. Here, we first show that any (possibly interactive) argument for a language L where the verification algorithm is "generic" (i.e., only performs generic group operations) and the proof consists of a single group element, implies a witness encryption scheme for L. We then show that under a yet-unproven, but highly plausible, hypothesis on the hardness of approximating the minimal distance of linear codes, we can construct a 2-message laconic argument for NP where the proof consists of a single group element. Under the same hypothesis, we obtain a witness encryption scheme for NP in the generic group model. Along the way, we show that under a conceptually-similar but proven hardness of approximation result, there is a 2-message laconic argument for NP with negligible soundness error where the prover's message consists of just 2 group elements. In both settings, we obtain laconic arguments (and linear PCPs) with linear decision procedures. Our constructions circumvent a previous lower bound by Groth on such argument systems with linear decision procedures by relying on imperfect completeness. Namely, our constructions have vanishing but not negligible completeness error, while the lower bound of Groth implicitly assumes negligible completeness error of the underlying argument. Our techniques thus highlight new avenues for designing linear PCPs, succinct arguments, and witness encryption schemes.

We introduce a new form of encryption that we name matchmaking encryption (ME). Using ME, sender S and receiver R (each with its own attributes) can both specify policies the other party must satisfy in order for the message to be revealed. The main security guarantee is that of privacy-preserving policy matching: During decryption nothing is leaked beyond the fact that a match occurred/did not occur. ME opens up new ways of secretly communicating, and enables several new applications where both participants can specify fine-grained access policies to encrypted data. For instance, in social matchmaking, S can encrypt a file containing his/her personal details and specify a policy so that the file can be decrypted only by his/her ideal partner. On the other end, a receiver R will be able to decrypt the file only if S corresponds to his/her ideal partner defined through a policy. On the theoretical side, we define security for ME, as well as provide generic frameworks for constructing ME from functional encryption. These constructions need to face the technical challenge of simultaneously checking the policies chosen by S and R, to avoid any leakage. On the practical side, we construct an efficient identity-based scheme for equality policies, with provable security in the random oracle model under the standard BDH assumption. We implement and evaluate our scheme and provide experimental evidence that our construction is practical. We also apply identity-based ME to a concrete use case, in particular for creating an anonymous bulletin board over a Tor network.

In their seminal work, Ben-Or and Linial (1985) introduced the full information model for collective coin-tossing protocols involving $n$ processors with unbounded computational power using a common broadcast channel for all their communications. The design and analysis of coin-tossing protocols in the full information model have close connections to diverse fields like extremal graph theory, randomness extraction, cryptographic protocol design, game theory, distributed protocols, and learning theory. Several works have focused on studying the asymptotically best attacks and optimal coin-tossing protocols in various adversarial settings. While one knows the characterization of the exact or asymptotically optimal protocols in some adversarial settings, for most adversarial settings, the optimal protocol characterization remains open. For the cases where the asymptotically optimal constructions are known, the exact constants or poly-logarithmic multiplicative factors involved are not entirely well-understood. In this work, we study $n$-processor coin-tossing protocols where every processor broadcasts an arbitrary-length message once. Note that, in this setting, which processor speaks and its message distribution may depend on the messages broadcast so far. An adaptive Byzantine adversary, based on the messages broadcast so far, can corrupt $k=1$ processor. A bias-$X$ coin-tossing protocol outputs 1 with probability $X$; 0 with probability $(1-X)$. For a coin-tossing protocol, its insecurity is the maximum change in the output distribution (in the statistical distance) that an adversarial strategy can cause. Our objective is to identify optimal bias-$X$ coin-tossing protocols with minimum insecurity, for every $X\in[0,1]$. Lichtenstein, Linial, and Saks (1989) studied bias-$X$ coin-tossing protocols in this adversarial model under the highly restrictive constraint that each party broadcasts an independent and uniformly random bit. The underlying message space is a well-behaved product space, and $X\in[0,1]$ can only be integer multiples of $1/2^n$, which is a discrete problem. The case where every processor broadcasts only an independent random bit admits simplifications, for example, the collective coin-tossing protocol must be monotone. Surprisingly, for this class of coin-tossing protocols, the objective of reducing an adversary’s ability to increase the expected output is equivalent to reducing an adversary’s ability to decrease the expected output. Building on these observations, Lichtenstein, Linial, and Saks proved that the threshold coin-tossing protocols are optimal for all $n$ and $k$. In a sequence of works, Goldwasser, Kalai, and Park (2015), Kalai, Komargodski, and Raz (2018), and (independent of our work) Haitner and Karidi-Heller (2020) prove that $k=\mathcal{O}\left(\sqrt n\cdot \polylog{n}\right)$ corruptions suffice to fix the output of any bias-X coin-tossing protocol. These results consider parties who send arbitrary-length messages, and each processor has multiple turns to reveal its entire message. However, optimal protocols robust to a large number of corruptions do not have any apriori relation to the optimal protocol robust to $k=1$ corruption. Furthermore, to make an informed choice of employing a coin-tossing protocol in practice, for a fixed target tolerance of insecurity, one needs a precise characterization of the minimum insecurity achieved by these coin-tossing protocols. We rely on an inductive approach to constructing coin-tossing protocols to study a proxy potential function measuring the susceptibility of any bias-$X$ coin-tossing protocol to attacks in our adversarial model. Our technique is inherently constructive and yields protocols that minimize the potential function. It happens to be the case that threshold protocols minimize the potential function. We demonstrate that the insecurity of these threshold protocols is 2-approximate of the optimal protocol in our adversarial model. For any other $X\in[0,1]$ that threshold protocols cannot realize, we prove that an appropriate (convex) combination of the threshold protocols is a 4-approximation of the optimal protocol.

We present a systematic approach to define and study authentication notions in authenticated key-exchange protocols. We propose and use a flexible and expressive predicate-based definitional framework. Our definitions capture key and entity authentication, in both implicit and explicit variants, as well as key and entity confirmation, for authenticated key-exchange protocols. In particular, we capture critical notions in the authentication space such as key-compromise impersonation resistance and security against unknown key-share attacks. We first present and explore these definitions within the Bellare-Rogaway model and then extend them to Canetti-Krawczyk-style models. We then show two useful applications of our framework. First, we look at the authentication guarantees of three representative protocols to draw several useful lessons for protocol design. The core technical contribution of this paper is then to formally establish that composition of secure implicitly authenticated key-exchange with subsequent confirmation protocols yields explicit authentication guarantees. Without a formal separation of implicit and explicit authentication from secrecy, a proof of this folklore result could not have been established.

Constrained pseudorandom functions (CPRFs) allow learning ``constrained'' PRF keys that can evaluate the PRF on a subset of the input space, or based on some predicate. First introduced by Boneh and Waters [AC’13], Kiayias et al. [CCS’13] and Boyle et al. [PKC’14], they have shown to be a useful cryptographic primitive with many applications. These applications often require CPRFs to be adaptively secure, which allows the adversary to learn PRF values and constrained keys in an arbitrary order. However, there is no known construction of adaptively secure CPRFs based on a standard assumption in the standard model for any non-trivial class of predicates. Moreover, even if we rely on strong tools such as indistinguishability obfuscation (IO), the state-of-the-art construction of adaptively secure CPRFs in the standard model only supports the limited class of NC1 predicates. In this work, we develop new adaptively secure CPRFs for various predicates from different types of assumptions in the standard model. Our results are summarized below. - We construct adaptively secure and $O(1)$-collusion-resistant CPRFs for $t$-conjunctive normal form ($t$-CNF) predicates from one-way functions (OWFs) where $t$ is a constant. Here, $O(1)$-collusion-resistance means that we can allow the adversary to obtain a constant number of constrained keys. Note that $t$-CNF includes bit-fixing predicates as a special case. - We construct adaptively secure and single-key CPRFs for inner-product predicates from the learning with errors (LWE) assumption. Here, single-key security means that we only allow the adversary to learn one constrained key. Note that inner-product predicates include $t$-CNF predicates for a constant $t$ as a special case. Thus, this construction supports more expressive class of predicates than that supported by the first construction though it loses the collusion-resistance and relies on a stronger assumption. - We construct adaptively secure and $O(1)$-collusion-resistant CPRFs for all circuits from the LWE assumption and indistinguishability obfuscation (IO). The first and second constructions are the first CPRFs for any non-trivial predicates to achieve adaptive security outside of the random oracle model or relying on strong cryptographic assumptions. Moreover, the first construction is also the first to achieve any notion of collusion-resistance in this setting. Besides, we prove that the first and second constructions satisfy weak $1$-key privacy, which roughly means that a constrained key does not reveal the corresponding constraint. The third construction is an improvement over previous adaptively secure CPRFs for less expressive predicates based on IO in the standard model.

The hybrid argument is a fundamental and well-established proof technique of modern cryptography for showing the indistinguishability of distributions. As such, its details are often glossed over and phrases along the line of "this can be proven via a standard hybrid argument" are common in the cryptographic literature. Yet, the hybrid argument is not always as straightforward as we make it out to be, but instead comes with its share of intricacies. For example, a commonly stated variant says that if one has a sequence of hybrids $H_0,...,H_t$, and each pair $H_i$, $H_{i+1}$ is computationally indistinguishable, then so are the extreme hybrids $H_0$ and $H_t$. We iterate the fact that, in this form, the statement is only true for constant $t$, and we translate the common approach for general $t$ into a rigorous statement. The paper here is not a research paper in the traditional sense. It mainly consists of an excerpt from the book "The Theory of Hash Functions and Random Oracles - An Approach to Modern Cryptography" (Information Security and Cryptography, Springer, 2021), providing a detailed discussion of the intricacies of the hybrid argument that we believe is of interest to the broader cryptographic community. The excerpt is reproduced with permission of Springer.

The concept of private stream aggregation (PSA) has been proposed by Shi et al. (NDSS 2011) to allow for data analysis in a privacy-preserving manner. In this work, we introduce the notion of labeled secret sharing (LaSS) schemes and show how to use it to construct PSA schemes. We also show how to realize LaSS using pseudorandom functions or alternatively with a hash function modeled as a random oracle and how it can be used to construct PSA schemes. Additionally, we revisit the security model of Becker et al. (NDSS 2018) and describe stronger security notions for PSA. We then present additional constructions achieving the stronger security notions by relying on recent results on multi-client functional encryption. For all of our constructions, we present implementations to show their practicality and the performance gains over existing solutions.

In this paper, various quantitative information-theoretic security reductions which correlate statistical difference between two probability distributions with security level's gap for two cryptographic schemes are proposed. Security is the most important prerequisite for cryptographic primitives. In general, there are two kinds of security; one is computational security, and the other is information-theoretic security. We focus on the latter one in this paper, especially the view point of bit security which is a convenient notion to indicate the quantitative security level. We propose tighter and more generalized version of information-theoretic security reductions than those of the previous works [1,2]. More specifically, we obtain about 2.5-bit tighter security reduction than that in the previous work [2], and we devise a further generalized version of security reduction in the previous work [1] by relaxing the constraint on the upper bound of the information-theoretic measure, that is, $\lambda$-efficient. Through this work, we propose the methodology to estimate the affects on security level when $\kappa$-bit secure original scheme is implemented on $p$-bit precision system. (Here, $p$ can be set to any value as long as certain condition is satisfied.) In the previous work [1], $p$ was fixed as $\kappa\over2$, but the proposed scheme is generalized to make it possible for security level $\kappa$ and precision $p$ to variate independently. This makes a very big difference. The previous result cannot provide the exact lower bound value of security level for the case $p\ne{\kappa\over2}$, but, it can only provide inaccurate relative information for security level. In contrast to this, the proposed result can provide the exact lower bound of estimation value of security level as long as precision $p$ satisfies the certain condition. Moreover, we provide diverse types of security reduction formulas for the five kinds of information-theoretic measures. We are expecting that the proposed schemes could provide an information-theoretic guideline for how much the two identical cryptographic schemes with different probability distribution may show the difference in their security level when extracting their randomness from two different probability distributions. Especially, the proposed schemes can be used to obtain the quantitative estimation of how much the statistical difference between the ideal distribution and the real distribution affects the security level [8,10,11].

The subfield construction is one of the most promising methods to construct maximum distance separable (MDS) diffusion layers for block ciphers and cryptographic hash functions. In this paper, we give a generalization of this method and investigate the efficiency of our generalization. As a result, we provide several best MDS diffusions with respect to the number of XORs that the diffusion needs. For instance, we give (i) an involutory MDS diffusion $\mathbb{F}_{2^8}^{3} \rightarrow \mathbb{F}_{2^8}^{3}$ by 85 XORs and (ii) an involutory MDS diffusion $\mathbb{F}_{2^8}^{4} \rightarrow \mathbb{F}_{2^8}^{4}$ by 122 XORs, and hence present new records to the literature. Furthermore, we interpret the coding theoretical background of our generalization.

Blockchain is a multiparty protocol to reach agreement on the order of events, and to record them consistently and immutably without centralized trust. In some cases, however, the blockchain can benefit from some controlled mutability. Examples include removing private information or unlawful content, and correcting protocol vulnerabilities which would otherwise require a hard fork. Two approaches to control the mutability are: moderation, where one or more designated administrators can use their private keys to approve a redaction, and voting, where miners can vote to endorse a suggested redaction. In this paper, we first present several attacks against existing redactable blockchain solutions. Next, we provide a definitional framework for moderated redactable blockchains. Finally, we propose a provable and efficient construct, which applies a single digital signature per redaction, achieving a much simpler and secure result compared to the prior art in the moderated setting.

In this paper, we show how to apply Montgomery multiplication to the tag tracing variant of the Pollard's rho algorithm applied to prime order fields. This combines the advantages of tag tracing with those of Montgomery multiplication. In particular, compared to the previous version of tag tracing, the use of Montgomery multiplication entirely eliminates costly modular reductions and replaces these with much more efficient divisions by a suitable power of two.

The random oracle methodology has proven to be a powerful tool for designing and reasoning about cryptographic schemes. In this paper, we focus on the basic problem of correcting faulty—or adversarially corrupted—random oracles, so that they can be confidently applied for such cryptographic purposes. We prove that a simple construction can transform a “subverted” random oracle—which disagrees with the original one at a small fraction of inputs—into an object that is indifferentiable from a random function, even if the adversary is made aware of all randomness used in the transformation. Our results permit future designers of cryptographic primitives in typical kleptographic settings (i.e., those permitting adversaries that subvert or replace basic cryptographic algorithms) to use random oracles as a trusted black box.

Interactive oracle proofs (IOPs) are a hybrid between interactive proofs and PCPs. In an IOP the prover is allowed to interact with a verifier (like in an interactive proof) by sending relatively long messages to the verifier, who in turn is only allowed to query a few of the bits that were sent (like in a PCP). In this work we construct, for a large class of NP relations, IOPs in which the communication complexity approaches the witness length. More precisely, for any NP relation for which membership can be decided in polynomial-time and bounded polynomial space (e.g., SAT, Hamiltonicity, Clique, Vertex-Cover, etc.) and for any constant $\gamma>0$, we construct an IOP with communication complexity $(1+\gamma) \cdot n$, where $n$ is the original witness length. The number of rounds as well as the number of queries made by the IOP verifier are constant. This result improves over prior works on short IOPs/PCPs in two ways. First, the communication complexity in these short IOPs is proportional to the complexity of verifying the NP witness, which can be polynomially larger than the witness size. Second, even ignoring the difference between witness length and non-deterministic verification time, prior works incur (at the very least) a large constant multiplicative overhead to the communication complexity. In particular, as a special case, we also obtain an IOP for Circuit-SAT with rate approaching 1: the communication complexity is $(1+\gamma) \cdot t$, for circuits of size $t$ and any constant $\gamma>0$. This improves upon the prior state-of-the-art work of Ben Sasson et al. (ICALP, 2017) who construct an IOP for CircuitSAT with communication length $c \cdot t$ for a large (unspecified) constant $c \geq 1$. Our proof leverages recent constructions of high-rate locally testable tensor codes. In particular, we bypass the barrier imposed by the low rate of multiplication codes (e.g., Reed-Solomon, Reed-Muller or AG codes) - a core component in all known short PCP/IOP constructions.

The modern financial world has seen a significant rise in the use of cryptocurrencies in recent years, partly due to the convincing lures of anonymity promised by these schemes. Bitcoin, despite being considered as the most widespread among all, is claimed to have significant lapses in relation to its anonymity. Unfortunately, studies have shown that many cryptocurrency transactions can be traced back to their corresponding participants through the analysis of publicly available data, to which the cryptographic community has responded by proposing new constructions with improved anonymity claims. Nevertheless, the absence of a common metric for evaluating the level of anonymity achieved by these schemes has led to a number of disparate ad hoc anonymity definitions, making comparisons difficult. The multitude of these notions also hints at the surprising complexity of the overall anonymity landscape. In this study, we introduce such a common framework to evaluate the nature and extent of anonymity in (crypto)currencies and distributed transaction systems, irrespective of their implementation. As such, our work lays the foundation for formalising security models and terminology across a wide range of anonymity notions referenced in the literature, while showing how ``anonymity'' itself is a surprisingly nuanced concept.

We seek constructions of general-purpose immunizers that take arbitrary cryptographic primitives, and transform them into ones that withstand a powerful “malicious but proud” adversary, who attempts to break security by possibly subverting the implementation of all algorithms (including the immunizer itself!), while trying not to be detected. This question is motivated by the recent evidence of cryptographic schemes being intentionally weakened, or designed together with hidden backdoors, e.g., with the scope of mass surveillance. Our main result is a subversion-secure immunizer in the plain model, that works for a fairly large class of deterministic primitives, i.e. cryptoschemes where a secret (but tamperable) random source is used to generate the keys and the public parameters, whereas all other algorithms are deterministic. The immunizer relies on an additional independent source of public randomness, which is used to sample a public seed. Assuming the public source is untamperable, and that the subversion of the algorithms is chosen independently of the seed, we can instantiate our immunizer from any one-way function. In case the subversion is allowed to depend on the seed, and the public source is still untamperable, we obtain an instantiation from collision-resistant hash functions. In the more challenging scenario where the public source is also tamperable, we additionally need to assume that the initial cryptographic primitive has sub-exponential security. Previous work in the area only obtained subversion-secure immunization for very restricted classes of primitives, often in weaker models of subversion and using random oracles.

Black-box separations have been successfully used to identify the limits of a powerful set of tools in cryptography, namely those of black-box reductions. They allow proving that a large set of techniques are not capable of basing one primitive $\mathcal{P}$ on another $\mathcal{Q}$. Such separations, however, do not say anything about the power of the combination of primitives $\mathcal{Q}_1,\mathcal{Q}_2$ for constructing $\mathcal{P}$, even if $\mathcal{P}$ cannot be based on $\mathcal{Q}_1$ or $\mathcal{Q}_2$ alone. By introducing and formalizing the notion of black-box uselessness, we develop a framework that allows us to make such conclusions. At an informal level, we call primitive $\mathcal{Q}$ black-box useless (BBU) for primitive $\mathcal{P}$ if $\mathcal{Q}$ cannot help constructing $\mathcal{P}$ in a black-box way, even in the presence of another primitive $\mathcal{Z}$. This is formalized by saying that $\mathcal{Q}$ is BBU for $\mathcal{P}$ if for any auxiliary primitive $\mathcal{Z}$, whenever there exists a black-box construction of $\mathcal{P}$ from $(\mathcal{Q},\mathcal{Z})$, then there must already also exist a black-box construction of $\mathcal{P}$ from $\mathcal{Z}$ alone. We also formalize various other notions of black-box uselessness, and consider in particular the setting of efficient black-box constructions when the number of queries to $\mathcal{Q}$ is below a threshold. Impagliazzo and Rudich (STOC'89) initiated the study of black-box separations by separating key agreement from one-way functions. We prove a number of initial results in this direction, which indicate that one-way functions are perhaps also black-box useless for key agreement. In particular, we show that OWFs are black-box useless in any construction of key agreement in either of the following settings: (1) the key agreement has perfect correctness and one of the parties calls the OWF a constant number of times; (2) the key agreement consists of a single round of interaction (as in Merkle-type protocols). We conjecture that OWFs are indeed black-box useless for general key agreement protocols. We also show that certain techniques for proving black-box separations can be lifted to the uselessness regime. In particular, we show that known lower bounds for assumptions behind black-box constructions of indistinguishability obfuscation (IO) can be extended to derive black-box uselessness of a variety of primitives for obtaining (approximately correct) IO. These results follow the so-called "compiling out" technique, which we prove to imply black-box uselessness. Eventually, we study the complementary landscape of black-box uselessness, namely black-box helpfulness. Formally, we call primitive $\mathcal{Q}$ black-box helpful (BBH) for $\mathcal{P}$, if there exists an auxiliary primitive $\mathcal{Z}$ such that there exists a black-box construction of $\mathcal{P}$ from $(\mathcal{Q},\mathcal{Z})$, but there exists no black-box construction of $\mathcal{P}$ from $\mathcal{Z}$ alone. We put forth the conjecture that one-way functions are black-box helpful for building collision-resistant hash functions. We define two natural relaxations of this conjecture, and prove that both of these conjectures are implied by a natural conjecture regarding random permutations equipped with a collision finder oracle, as defined by Simon (Eurocrypt'98). This conjecture may also be of interest in other contexts, such as hardness amplification.

The problem of solving explicitly the equation $P_a(X):=X^{q+1}+X+a=0$ over the finite field $\GF{Q}$, where $Q=p^n$, $q=p^k$ and $p$ is a prime, arises in many different contexts including finite geometry, the inverse Galois problem \cite{ACZ2000}, the construction of difference sets with Singer parameters \cite{DD2004}, determining cross-correlation between $m$-sequences \cite{DOBBERTIN2006} and to construct error correcting codes \cite{Bracken2009}, cryptographic APN functions \cite{BTT2014,Budaghyan-Carlet_2006}, designs \cite{Tang_2019}, as well as to speed up the index calculus method for computing discrete logarithms on finite fields \cite{GGGZ2013,GGGZ2013+} and on algebraic curves \cite{M2014}. Subsequently, in \cite{Bluher2004,HK2008,HK2010,BTT2014,Bluher2016,KM2019,CMPZ2019,MS2019,KCM19}, the $\GF{Q}$-zeros of $P_a(X)$ have been studied. In \cite{Bluher2004}, it was shown that the possible values of the number of the zeros that $P_a(X)$ has in $\GF{Q}$ is $0$, $1$, $2$ or $p^{\gcd(n, k)}+1$. Some criteria for the number of the $\GF{Q}$-zeros of $P_a(x)$ were found in \cite{HK2008,HK2010,BTT2014,KM2019,MS2019}. However, while the ultimate goal is to explicit all the $\GF{Q}$-zeros, even in the case $p=2$, it was solved only under the condition $\gcd(n, k)=1$ \cite{KM2019}. In this article, we discuss this equation without any restriction on $p$ and $\gcd(n,k)$. In \cite{KCM19}, for the cases of one or two $\GF{Q}$-zeros, explicit expressions for these rational zeros in terms of $a$ were provided, but for the case of $p^{\gcd(n, k)}+1$ $\GF{Q}-$ zeros it was remained open to explicitly compute the zeros. This paper solves the remained problem, thus now the equation $X^{p^k+1}+X+a=0$ over $\GF{p^n}$ is completely solved for any prime $p$, any integers $n$ and $k$.

Minimizing the computational cost of the prover is a central goal in the area of succinct arguments. In particular, it remains a challenging open problem to construct a succinct argument where the prover runs in linear time and the verifier runs in polylogarithmic time. We make progress towards this goal by presenting a new linear-time probabilistic proof. For any fixed $\epsilon > 0$, we construct an interactive oracle proof (IOP) that, when used for the satisfiability of an $N$-gate arithmetic circuit, has a prover that uses $O(N)$ field operations and a verifier that uses $O(N^{\epsilon})$ field operations. The sublinear verifier time is achieved in the holographic setting for every circuit (the verifier has oracle access to a linear-size encoding of the circuit that is computable in linear time). When combined with a linear-time collision-resistant hash function, our IOP immediately leads to an argument system where the prover performs $O(N)$ field operations and hash computations, and the verifier performs $O(N^{\epsilon})$ field operations and hash computations (given a short digest of the $N$-gate circuit).

We address security and privacy problems for digital devices and biometrics from an information-theoretic optimality perspective, where a secret key is generated for authentication, identification, message encryption/decryption, or secure computations. A physical unclonable function (PUF) is a promising solution for local security in digital devices and this review gives the most relevant summary for information theorists, coding theorists, and signal processing community members who are interested in optimal PUF constructions. Low-complexity signal processing methods such as transform coding that are developed to make the information-theoretic analysis tractable are discussed. The optimal trade-offs between the secret-key, privacy-leakage, and storage rates for multiple PUF measurements are given. Proposed optimal code constructions that jointly design the vector quantizer and error-correction code parameters are listed. These constructions include modern and algebraic codes such as polar codes and convolutional codes, both of which can achieve small block-error probabilities at short block lengths, corresponding to a small number of PUF circuits. Open problems in the PUF literature from a signal processing, information theory, coding theory, and hardware complexity perspectives and their combinations are listed to stimulate further advancements in the research on local privacy and security.

A nothing-up-my-sleeve number is a cryptographic constant, such as a field size in elliptic curve cryptography, with qualities to assure users against subversion of the number by the system designer. A number with low Kolmogorov descriptional complexity resists being subverted to the extent that the speculated subversion would leave a trace that cannot be hidden within the short description. The roll programming language, a version of Godel's 1930s definition of computability, can somewhat objectively quantify low descriptional complexity, a nothing-up-my-sleeve quality, of a number. For example, curves NIST-P-256, Curve25519, and NIST-P-521 have fields sizes with roll programs of 112, 84, and 63 words (respectively).

Semi-regular sequences over $\mathbb{F}_2$ are sequences of homogeneous elements of the algebra $ B^{(n)}=\mathbb{F}_2[X_1,...,X_n]/(X_1^2,...,X_n^2)$, which have as few relations between them as possible. It is believed that most such systems are semi-regular and this property has important consequences for understanding the complexity of Grobner basis algorithms such as F4 and F5 for solving such systems. In fact even in one of the simplest and most important cases, that of quadratic sequences of length $n$ in $n$ variables, the question of the existence of semi-regular sequences for all $n$ remains open. In this paper we present a new framework for the concept of semiregularity which we hope will allow the use of ideas and machinery from homological algebra to be applied to this interesting and important open question. First we introduce an analog of the Koszul complex and show that $\mathbb{F}_2$-semi-regularity can be characterized by the exactness of this complex. We show how the well known formula for the Hilbert series of a semiregular sequence can be deduced from the Koszul complex. Finally we show that the concept of first fall degree also has a natural description in terms of the Koszul complex.

In a constrained PRF, the owner of the PRF key K can generate constrained keys K_f that allow anyone to evaluate the PRF on inputs x that satisfy the predicate f (namely, where f(x) is “true”) but reveal no information about the PRF evaluation on the other inputs. A private constrained PRF goes further by requiring that the constrained key Kf hides the predicate f. Boneh, Kim and Montgomery (EUROCRYPT 2017) presented a construction of private constrained PRF for point function constraints, and Canetti and Chen (EUROCRYPT 2017) presented a completely different construction for NC1 constraints. In this work, we show two constructions of LWE-based constraint-hiding constrained PRFs for general predicates described by polynomial-size circuits. The two constructions are based on two distinct techniques that we show have further applicability by constructing weak attribute-hiding predicate encryption schemes. In a nutshell, the first construction imports the technique of modulus switching from the FHE world into the domain of trapdoor extension and homomorphism. The second construction shows how to use the duality between FHE secret-key/randomness and ABE randomness/secret-key to construct a scheme with dual use of the same values for both FHE and ABE purposes.

We show the existence of indistinguishability obfuscators (iO) for general circuits assuming subexponential security of: - the Learning with Error (LWE) assumption (with subexponential modulus-to-noise ratio); - a circular security conjecture regarding the Gentry-Sahai-Water's (GSW) encryption scheme and a Packed version of Regev's encryption scheme. The circular security conjecture states that a notion of leakage-resilient security, that we prove is satisfied by GSW assuming LWE, is retained in the presence of an encrypted key-cycle involving GSW and Packed Regev. Our work thus places iO on qualitatively similar assumptions as (unlevelled) FHE, for which known constructions also rely on a circular security conjecture.