In recent years, actively secure SPDZ-like protocols for dishonest majority, like SPD$\mathbb Z_{2^k}$, Overdrive2k, and MHz2k, over base rings $\mathbb Z_{2^k}$ have become more and more efficient. In this paper, we present a new actively secure MPC protocol Multipars that outperforms these state-of-the-art protocols over $\mathbb Z_{2^k}$ by more than a factor of 2 in the two-party setup in terms of communication. Multipars is the first actively secure N-party protocol over $\mathbb Z_{2^k}$ that is based on linear homomorphic encryption (LHE) in the offline phase (instead of oblivious transfer or somewhat homomorphic encryption in previous works). The strong performance of Multipars relies on a new adaptive packing for BGV ciphertexts that allows us to reduce the parameter size of the encryption scheme and the overall communication cost. Additionally, we use modulus switching for further size reduction, a new type of enhanced CPA security over $\mathbb Z_{2^k}$, a truncation protocol for Beaver triples, and a new LHE-based offline protocol without sacrificing over $\mathbb Z_{2^k}$. We have implemented Multipars and therewith provide the fastest preprocessing phase over $\mathbb Z_{2^k}$. Our evaluation shows that Multipars offers at least a factor of 8 lower communication costs and up to a factor of 15 faster runtime in the WAN setting compared to the currently best available actively secure MPC implementation over $\mathbb Z_{2^k}$.

Asynchronous Byzantine fault-tolerance (BFT) protocols (e.g., HoneyBadger and Dumbo family protocols) have received increasing attention as the consensus mechanism of permissioned blockchains, given their particular robustness against timing and performance attacks. However, there is a substantial performance gap before they can be applied in real systems. In this paper, we identify and address two critical issues, and design Dory, an asynchronous BFT consensus protocol with improved efficiency and lower communication compared to the state-of-the-art protocol, sDumbo. At the core of our approach are two new building blocks reducing the communication cost and a novel framework utilizing transactions with quadratic message complexity. We have implemented Dory and sDumbo in a new Golang library. Via a deployment using up to 151 participants on Amazon EC2, we show that Dory consistently outperforms sDumbo during both failure and failure-free scenarios. For instance, Dory has up to 5x the throughput of sDumbo in the failure-free scenario.

We present Owl, an augmented password-authenticated key exchange (PAKE) protocol that is both efficient and supported by security proofs. Owl is motivated by recognized limitations in SRP-6a and OPAQUE. SRP-6a is the only augmented PAKE that has enjoyed wide use in practice to date, but it lacks the support of formal security proofs, and does not support elliptic curve settings. OPAQUE was proposed in 2018 as a provably secure and efficient alternative to SRP-6a, and was chosen by the IETF in 2020 for standardization, but open issues leave it unclear whether OPAQUE will replace SRP-6a in practice. Owl is obtained by efficiently adapting J-PAKE to an asymmetric setting, providing additional security against server compromise yet with lower computation than J-PAKE. Owl is provably secure, efficient and agile in supporting implementations in diverse multiplicative groups and elliptic curve settings. To the best of our knowledge, Owl is the first augmented PAKE solution that provides systematic advantages over SRP-6a in terms of security, computation, message sizes, and agility.

Recently, a novel secure quantum bit commitment (QBC) protocol has been proposed [29]. However, the protocol requires Alice and Bob to share Bell states in advance, making the protocol lacking in practicality. In this paper, we propose two new unconditionally secure quantum bit commitment protocols that do not require pre-shared Bell states based on entangled and non-entangled states, respectively. Their security stems from quantum mechanical properties such as quantum superposition, quantum entanglement, no-cloning theorem, and no-communication theorem. Furthermore, by combining the proposed QBC with Yao's quantum oblivious transfer (QOT) model, we can obtain an unconditionally secure QOT protocol.

A file system provides secure deletion if, after a file is deleted, an attacker with physical possession of the storage device cannot recover any data from the deleted file. Unfortunately, secure deletion is not provided by commodity file systems. Even file systems which explicitly desire to provide secure deletion are challenged by the subtleties of hardware controllers on modern storage devices; those controllers obscure the mappings between logical blocks and physical blocks, silently duplicate physical blocks, and generally make it hard for host-level software to make reliable assumptions about how file data is kept on the device. State-of-the-art frameworks for secure deletion also have no crash consistency, meaning that an ill-timed power outage or software fault will desynchonize keys and the associated encrypted file data, corrupting the file system. In this paper, we present Holepunch, a new software-level approach for implementing secure deletion. Holepunch treats the storage device as a black box, providing secure deletion via cryptographic erasure. Holepunch uses per-file keys to transparently encrypt outgoing file writes and decrypt incoming file reads, ensuring that all physical data in the storage device is always encrypted. Holepunch uses puncturable pseudorandom functions (PPRFs) to quickly access file keys; upon the deletion of file $f$, Holepunch updates the PPRF so that, even if the PPRF is recovered, the PPRF cannot be used to generate $f$'s key. By using PPRFs instead of the key trees leveraged by prior work, Holepunch reduces both the memory pressure caused by key management and the number of disk IOs needed to access files. Holepunch stores its master key in secure TPM storage, and uses a novel journaling scheme to provide crash consistency between TPM state and on-disk state.

This work defines a notion of secure multiparty computation: MPC with fall-back security. Fall-back security for an $n$-party protocol is defined with respect to an adversary structure $\mathcal{Z}$ wherein security is guaranteed in the presence of both a computationally unbounded adversary with adversary structure $\mathcal{Z}$, and a computationally bounded adversary corrupting an arbitrarily large subset of the parties. This notion was considered in the work of Chaum (Crypto 89) via the Spymaster's double agent problem where he showed a semi-honest secure protocol for the honest majority adversary structure. Subsequent works extend this to give maliciously secure protocols tolerating threshold adversaries. Our first main result is a compiler that can transform any $n$-party protocol that is semi-honestly secure with statistical security tolerating a general adversary structure $\mathcal{Z}$ to one that (additionally) provides semi-honest fall-back security w.r.t $\mathcal{Z}$. The resulting protocol has optimal round complexity, up to a constant factor, and is optimal in assumptions and the adversary structure. Our second result fully characterizes when malicious fall-back security is feasible. More precisely, we show that malicious fallback secure protocol w.r.t $\mathcal{Z}$ exists if and only if $\mathcal{Z}$ admits unconditional MPC against a semi-honest adversary (namely, iff $\mathcal{Z} \in \mathcal{Q}^2$).

In the past few years blockchains have been a major focus for security research, resulting in significant progress in the design, formalization, and analysis of blockchain protocols. However, the more general class of distributed ledgers, which includes not just blockchains but also prominent non-blockchain protocols, such as Corda and OmniLedger, cannot be covered by the state-of-the-art in the security literature yet. These distributed ledgers often break with traditional blockchain paradigms, such as block structures to store data, system-wide consensus, or global consistency. In this paper, we close this gap by proposing the first framework for defining and analyzing the security of general distributed ledgers, with an ideal distributed ledger functionality, called $\mathcal{F}_\text{ledger}$, at the core of our contribution. This functionality covers not only classical blockchains but also non-blockchain distributed ledgers in a unified way. To illustrate $\mathcal{F}_\text{ledger}$, we first show that the prominent ideal blockchain functionalities $\mathcal{G}_\text{ledger}$ and $\mathcal{G}_\text{PL}$ realize (suitable instantiations of) $\mathcal{F}_\text{ledger}$, which precisely captures their security properties. This immediately implies that their respective implementations, including Bitcoin, Ouroboros Genesis, and Ouroboros Crypsinous, realize $\mathcal{F}_\text{ledger}$ as well. Secondly, we demonstrate that $\mathcal{F}_\text{ledger}$ is capable of precisely modeling also non-blockchain distributed ledgers by performing the first formal security analysis of such a distributed ledger, namely the prominent Corda protocol. Due to the wide spread use of Corda in the industry, in particular the financial sector, this analysis is of independent interest. These results also illustrate that $\mathcal{F}_\text{ledger}$ not just generalizes the modular treatment of blockchains to distributed ledgers, but moreover helps to unify existing results.

Neural networks (NNs) have become one of the most important tools for artificial intelligence (AI). Well-designed and trained NNs can perform inference (e.g., make decisions or predictions) on unseen inputs with high accuracy. Using NNs often involves sensitive data: depending on the specific use case, the input to the NN and/or the internals of the NN (e.g., the weights and biases) may be sensitive. Thus, there is a need for techniques for performing NN inference securely, ensuring that sensitive data remains secret. In the past few years, several approaches have been proposed for secure neural network inference. These approaches achieve better and better results in terms of efficiency, security, accuracy, and applicability, thus making big progress towards practical secure neural network inference. The proposed approaches make use of many different techniques, such as homomorphic encryption and secure multi-party computation. The aim of this survey paper is to give an overview of the main approaches proposed so far, their different properties, and the techniques used. In addition, remaining challenges towards large-scale deployments are identified.

Instant Runoff Voting (IRV) is one example of ranked-choice voting. It provides many known benefits when used in elections, such as minimising vote splitting, ensuring few votes are wasted, and providing resistance to strategic voting. However, the voting and tallying procedures for IRV are much more complicated than those of plurality and are both error-prone and tedious. Many automated systems have been proposed to simplify these procedures in IRV. Some of these also employ cryptographic techniques to protect the secrecy of ballots and enable verification of the tally. Nearly all of these cryptographic systems require a set of trustworthy tallying authorities (TAs) to perform the decryption of votes and/or running of mix servers, which adds significant complexity to the implementation and election management. We address this issue by proposing Camel: an E2E verifiable solution for IRV that requires no TAs. Camel employs a novel representation and a universally verifiable shifting procedure for ballots that facilitate the elimination of candidates as required in an IRV election. We combine these with a homomorphic encryption scheme and zero-knowledge proofs to protect the secrecy of the ballots and enable any party to verify the well-formedness of the ballots and the correctness of the tally in an IRV election. We examine the security of Camel and prove it maintains ballot secrecy by limiting the learned information (namely the tally) against a set of colluding voters.

Transport Layer Security (TLS) 1.3 and the Signal protocol are very important and widely used security protocols. We show that the key update function in TLS 1.3 and the symmetric key ratchet in Signal can be modeled as non-additive synchronous stream ciphers. This means that the efficient Time Memory Tradeoff Attacks for stream ciphers can be applied. The implication is that TLS 1.3, QUIC, DTLS 1.3, and Signal offer a lower security level against TMTO attacks than expected from the key sizes. We provide detailed analyses of the key update mechanisms in TLS 1.3 and Signal, illustrate the importance of ephemeral key exchange, and show that the process that DTLS 1.3 and QUIC use to calculate AEAD limits is flawed. We provide many concrete recommendations for the analyzed protocols.

We present a three-round protocol for threshold ECDSA signing with malicious security against a dishonest majority, which information-theoretically UC-realizes a standard threshold signing functionality, assuming only ideal commitment and two-party multiplication primitives. Our protocol combines an intermediate representation of ECDSA signatures that was recently introduced by Abram et al. (Eurocrypt'22) with an efficient statistical consistency check reminiscent of the ones used by the protocols of Doerner et al. (S&P'18, S&P'19). We show that shared keys for our signing protocol can be generated using a simple commit-release-and-complain procedure, without any proofs of knowledge, and to compute the intermediate representation of each signature, we propose a two-round vectorized multiplication protocol based on oblivious transfer that outperforms all similar constructions.

Having shared access to high-quality random numbers is essential in many important applications. Yet, existing constructions of distributed random beacons still have limitations such as imperfect security guarantees, strong setup or network assumptions, or high costs. In this paper, we present SPURT, an efficient distributed randomness beacon protocol that does not require any trusted or expensive setup and is secure against a malicious adversary that controls up to one-third of the nodes in a partially synchronous network. We formally prove that each output of SPURT is unpredictable, bias-resistant, and publicly verifiable. SPURT has an amortized total communication cost of $O(\lambda n^2)$ per beacon output where $\lambda$ is the security parameter. While designing SPURT, we also design a publicly verifiable secret sharing (PVSS) scheme whose security is based on the standard Decisional Bilinear Diffie-Hellman assumption and does not require a Random Oracle. We implement SPURT and evaluate it using a network of up to 128 nodes running in geographically distributed AWS instances. Our evaluation shows that SPURT can produce about 84 beacon outputs per minute in a network of 32 nodes and is comparable to systems with stronger assumptions or weaker security.

Continuous Group-Key Agreement (CGKA) allows a group of users to maintain a shared key. It is the fundamental cryptographic primitive underlying group messaging schemes and related protocols, most notably TreeKEM, the underlying key agreement protocol of the Messaging Layer Security (MLS) protocol, a standard for group messaging by the IETF. CKGA works in an asynchronous setting where parties only occasionally must come online, and their messages are relayed by an untrusted server. The most expensive operation provided by CKGA is that which allows for a user to refresh their key material in order to achieve forward secrecy (old messages are secure when a user is compromised) and post-compromise security (users can heal from compromise). One caveat of early CGKA protocols is that these update operations had to be performed sequentially, with any user wanting to update their key material having had to receive and process all previous updates. Late versions of TreeKEM do allow for concurrent updates at the cost of a communication overhead per update message that is linear in the number of updating parties. This was shown to be indeed necessary when achieving PCS in just two rounds of communication by [Bienstock et al. TCC'20]. The recently proposed protocol CoCoA [Alwen et al. Eurocrypt'22], however, shows that this overhead can be reduced if PCS requirements are relaxed, and only a logarithmic number of rounds is required. The natural question, thus, is whether CoCoA is optimal in this setting. In this work we answer this question, providing a lower bound on the cost (concretely, the amount of data to be uploaded to the server) for CGKA protocols that heal in an arbitrary $k$ number of rounds, that shows that CoCoA is very close to optimal. Additionally, we extend CoCoA to heal in an arbitrary number of rounds, and propose a modification of it, with a reduced communication cost for certain $k$. We prove our bound in a combinatorial setting where the state of the protocol progresses in rounds, and the state of the protocol in each round is captured by a set system, each set specifying a set of users who share a secret key. We show this combinatorial model is equivalent to a symbolic model capturing building blocks including PRFs and public-key encryption, related to the one used by Bienstock et al. Our lower bound is of order $k\cdot n^{1+1/(k-1)}/\log(k)$, where $2\le k\le \log(n)$ is the number of updates per user the protocol requires to heal. This generalizes the $n^2$ bound for $k=2$ from Bienstock et al. This bound almost matches the $k\cdot n^{1+2/(k-1)}$ or $k^2\cdot n^{1+1/(k-1)}$ efficiency we get for the variants of the CoCoA protocol also introduced in this paper.

We present new protocols for threshold Schnorr signatures that work in an asynchronous communication setting, providing robustness and optimal resilience. These protocols provide unprecedented performance in terms of communication and computational complexity. In terms of communication complexity, for each signature, a single party must transmit a few dozen group elements and scalars across the network (independent of the size of the signing committee). In terms of computational complexity, the amortized cost for one party to generate a signature is actually less than that of just running the standard Schnorr signing or verification algorithm (at least for moderately sized signing committees, say, up to 100). For example, we estimate that with a signing committee of 49 parties, at most 16 of which are corrupt, we can generate 50,000 Schnorr signatures per second (assuming each party can dedicate one standard CPU core and 500Mbs of network bandwidth to signing). Importantly, this estimate includes both the cost of an offline precomputation phase (which just churns out message independent "presignatures") and an online signature generation phase. Also, the online signing phase can generate a signature with very little network latency (just one to three rounds, depending on how throughput and latency are balanced). To achieve this result, we provide two new innovations. One is a new secret sharing protocol (again, asynchronous, robust, optimally resilient) that allows the dealer to securely distribute shares of a large batch of ephemeral secret keys, and to publish the corresponding ephemeral public keys. To achieve better performance, our protocol minimizes public-key operations, and in particular, is based on a novel technique that does not use the traditional technique based on "polynomial commitments". The second innovation is a new algorithm to efficiently combine ephemeral public keys contributed by different parties (some possibly corrupt) into a smaller number of secure ephemeral public keys. This new algorithm is based on a novel construction of a so-called "super-invertible matrix" along with a corresponding highly-efficient algorithm for multiplying this matrix by a vector of group elements. As protocols for verifiably sharing a secret key with an associated public key and the technology of super-invertible matrices both play a major role in threshold cryptography and multi-party computation, our two new innovations should have applicability well beyond that of threshold Schnorr signatures.

We introduce protocols for classical verification of quantum depth (CVQD). These protocols enable a classical verifier to differentiate between devices of varying quantum circuit depths, even in the presence of classical computation. The goal is to demonstrate that a classical verifier can reject a device with a quantum circuit depth of no more than $d$, even if the prover employs additional polynomial-time classical computation to deceive. Conversely, the verifier accepts a device with a quantum circuit depth of $d'>d$. Previous results for separating hybrid quantum-classical computers with various quantum depths require either quantum access to oracles or interactions between the classical verifier and the quantum prover. However, instantiating oracle separations can significantly increase the quantum depth in general, and interaction challenges the quantum device to keep the qubits coherent while waiting for the verifier's messages. These requirements pose barriers to implementing the protocols on near-term devices. In this work, we present a two-message protocol under the quantum hardness of learning with errors and the random oracle heuristic. An honest prover only needs classical access to the random oracle, and therefore any instantiation of the oracle does not increase the quantum depth. To our knowledge, our protocol is the first non-interactive CVQD, the instantiation of which using concrete hash functions, e.g., SHA-3, does not require additional quantum depth. Our second protocol seeks to explore the minimality of cryptographic assumptions and the tightness of the separations. To accomplish this, we introduce an untrusted quantum machine that shares entanglements with the target machine. Utilizing a robust self-test, our protocol certifies the depth of the target machine with information-theoretic security and nearly optimal separation.

Anonymous credential schemes enable service providers to verify information that a credential holder willingly discloses, without needing any further personal data to corroborate that information, and without allowing the user to be tracked from one interaction to the next. Mercurial signatures are a novel class of anonymous credentials which show good promise as a simple and efficient construction without heavy reliance on zero-knowledge proofs. However, they still require significant development in order to achieve the functionality that most existing anonymous credential schemes provide. Encoding multiple attributes of the credential holder in such a way that they can be disclosed selectively with each use of the credential is often seen as a vital feature of anonymous credentials, and is one that mercurial signatures have not yet implemented. In this paper, we show a simple way to encode attributes in a mercurial signature credential and to regulate which attributes a credential holder can issue when delegating their credential to another user. We also extend the security model associated with mercurial signatures to account for the inclusion of attributes, and prove the security of our extension with respect to the original mercurial signature construction.

Zero-knowledge elementary databases (ZK-EDBs) enable a prover to commit a database ${D}$ of key-value $(x,v)$ pairs and later provide a convincing answer to the query ``send me the value $D(x)$ associated with $x$'' without revealing any extra knowledge (including the size of ${D}$). After its introduction, several works extended it to allow more expressive queries, but the expressiveness achieved so far is still limited: only a relatively simple queries--range queries over the keys and values-- can be handled by known constructions. In this paper we introduce a new notion called zero knowledge functional elementary databases (ZK-FEDBs), which allows the most general functional queries. Roughly speaking, for any Boolean circuit $f$, ZK-FEDBs allows the ZK-EDB prover to provide convincing answers to the queries of the form ``send me all records ${(x,v)}$ in ${{D}}$ satisfying $f(x,v)=1$,'' without revealing any extra knowledge (including the size of ${D}$). We present a construction of ZK-FEDBs in the random oracle model and generic group model, whose proof size is only linear in the length of record and the size of query circuit, and is independent of the size of input database $D$. Our technical constribution is two-fold. Firstly, we introduce a new variant of zero-knowledge sets (ZKS) which supports combined operations on sets, and present a concrete construction that is based on groups with unknown order. Secondly, we develop a tranformation that tranforms the query of Boolean circuit into a query of combined operations on related sets, which may be of independent interest.

Quantum computing advances threaten the security of today's public key infrastructure, and have led to the pending standardization of alternative, quantum-resistant key encapsulation and digital signature cryptography schemes. Unfortunately, authentication algorithms based on the new post-quantum (PQ) cryptography create significant performance bottlenecks for TLS due to larger certificate chains which introduce additional packets and round-trips. The TLS handshake slowdown will be unacceptable to many applications, and detrimental to the broader adoption of quantum safe cryptography standards. In this paper, we propose a novel framework for Intermediate Certificate Authority (ICA) certificate suppression in TLS that reduces the authentication message size and prevents excessive round-trip delays. Our approach utilizes an approximate membership query (AMQ) data structure (probabilistic filter) to advertise known ICA certs to remote TLS endpoints so that unnecessary ICA certificates are omitted from the TLS handshake exchange. We showcase the extend of the PQ authentication overhead challenge in TLS, and evaluate the feasibility of AMQ filters for ICA suppression in terms of space and computational overhead. Finally, we experimentally evaluate the potential gains form our approach and showcase a $70\%$ reduction in exchanged ICA cert data that translates to 15-50 MB of savings in PQ TLS and for certain Web-based application scenarios.

Classic BFT consensus protocols guarantee safety and liveness for all clients if fewer than one-third of replicas are faulty. However, in applications such as high-value payments, some clients may want to prioritize safety over liveness. Flexible consensus allows each client to opt for a higher safety resilience, albeit at the expense of reduced liveness resilience. We present the first construction that allows optimal safety-liveness tradeoff for every client simultaneously. This construction is modular and is realized as an add-on applied on top of an existing consensus protocol. The add-on consists of an additional round of voting and permanent locking done by the replicas, to sidestep a sub-optimal quorum-intersection-based constraint present in previous solutions. We adapt our construction to the existing Ethereum protocol to derive optimal flexible confirmation rules that clients can adopt unilaterally without requiring system-wide changes. This is possible because existing Ethereum protocol features can double as the extra voting and locking. We demonstrate an implementation using Ethereum's consensus API.

Let $\mathcal{X}$ and $\mathcal{Y}$ be two sets and suppose that a set of participants $P=\{P_1,P_2,\dots,P_n\}$ would like to calculate the keyed hash value of some message $m\in\mathcal{X}$ known to a single participant in $P$ called the data owner. Also, suppose that each participant $P_i$ knows a secret value $x_i\in\mathcal{X}$. In this paper, we will propose a protocol that enables the participants in this setup to calculate the value $y=H(m,x_1,x_2,\dots ,x_n)$ of a hash function $H:\mathcal{X}^{n+1}\rightarrow\mathcal{Y}$ such that: - The function $H$ is a one-way function. - Participants in $P\backslash\{P_i\}$ cannot obtain $x_i$. - Participants other than the data owner cannot obtain $m$. - The hash value $y=H(m,x_1,x_2,\dots ,x_n)$ remains the same regardless the order of the secret $x_i$ values.

Decentralized Finance (DeFi) has witnessed remarkable growth and innovation, with Decentralized Exchanges (DEXes) playing a pivotal role in shaping this ecosystem. As numerous DEX designs emerge, challenges such as price inefficiency and lack of user privacy continue to prevail. This paper introduces a novel DEX design, termed COMMON, that addresses these two predominant challenges. COMMON operates as an order book, natively integrated with a shielded token pool, thus providing anonymity to its users. Through the integration of zk-SNARKs, order batching, and Multiparty Computation (MPC) COMMON allows to conceal also the values in orders. This feature, paired with users never leaving the shielded pool when utilizing COMMON, provides a high level of privacy. To enhance price efficiency, we introduce a two-stage order matching process: initially, orders are internally matched, followed by an open, permissionless Dutch Auction to present the assets to Market Makers. This design effectively enables aggregating multiple sources of liquidity as well as helps reducing the adverse effects of Maximal Extractable Value (MEV), by redirecting most of the MEV profits back to the users.

Composable protocols for Multi-Party Computation that provide security with Identifiable Abort against a dishonest majority require some form of setup, e.g. correlated randomness among the parties. While this is a very useful model, it has the downside that the setup's randomness must be programmable, otherwise security becomes provably impossible. Since programmability is more realistic for smaller setups (in terms of number of parties), it is crucial to minimize the correlation complexity (degree of correlation) of the setup's randomness. We give a tight tradeoff between the correlation complexity \(\beta\) and the corruption threshold \(t\). Our bounds are strong in that \(\beta\)-wise correlation is sufficient for statistical security while \(\beta-1\)-wise correlation is insufficient even for computational security. In particular, for strong security, i.e., \(t < n\), full \(n\)-wise correlation is necessary. However, for any constant fraction of honest parties, we provide a protocol with constant correlation complexity which tightens the gap between the theoretical model and the setup's implementation in the real world. In contrast, previous state-of-the-art protocols require full \(n\)-wise correlation regardless of \(t\).

zkSNARK is a cryptographic primitive that allows a prover to prove to a resource constrained verifier, that it has indeed performed a specified non-deterministic computation correctly, while hiding private witnesses. In this work we focus on lattice based zkSNARK, as this serves two important design goals. Firstly, we get post-quantum zkSNARK schemes with $O(\log (\mbox{Circuit size}))$ sized proofs (without random oracles) and secondly, the easy verifier circuit allows further bootstrapping by arbitrary (zk)SNARK schemes that offer additional or complementary properties. However, this goal comes with considerable challenges. The only known lattice-based bilinear maps are obtained using multi-linear maps of Garg, Gentry, and Halevi 2013 (GGH13), which have undergone considerable cryptanalytic attacks, in particular annihilation attacks. In this work, we propose a (level-2) GGH13-encoding based zkSNARK which we show to be secure in the weak-multilinear map model of Miles-Sahai-Zhandry assuming a novel pseudo-random generator (PRG). We argue that the new PRG assumption is plausible based on the well-studied Newton's identity on power-sum polynomials, as well as an analysis of hardness of computing Grobner bases for these polynomials. The particular PRG is designed for efficient implementation of the zkSNARK. Technically, we leverage the 2-linear instantiation of the GGH13 graded encoding scheme to provide us with an analogue of bilinear maps and adapt the Groth16 (Groth, Eurocrypt 2016) protocol, although with considerable technical advances in design and proof. The protocol is non-interactive in the CRS model.

Critical and widely used cryptographic protocols have repeatedly been found to contain flaws in their design and their implementation. A prominent class of such vulnerabilities is logical attacks, e.g. attacks that exploit flawed protocol logic. Automated formal verification methods, based on the Dolev-Yao (DY) attacker, formally define and excel at finding such flaws, but operate only on abstract specification models. Fully automated verification of existing protocol implementations is today still out of reach. This leaves open whether such implementations are secure. Unfortunately, this blind spot hides numerous attacks, such as recent logical attacks on widely used TLS implementations introduced by implementation bugs. We answer by proposing a novel and effective technique that we call DY model-guided fuzzing, which precludes logical attacks against protocol implementations. The main idea is to consider as possible test cases the set of abstract DY executions of the DY attacker, and use a novel mutation-based fuzzer to explore this set. The DY fuzzer concretizes each abstract execution to test it on the program under test. This approach enables reasoning at a more structural and security-related level of messages represented as formal terms (e.g. decrypt a message and re-encrypt it with a different key) as opposed to random bit-level modifications that are much less likely to produce relevant logical adversarial behaviors. We implement a full-fledged and modular DY protocol fuzzer. We demonstrate its effectiveness by fuzzing three popular TLS implementations, resulting in the discovery of four novel vulnerabilities.

The existence of a quantum computer is one of the most significant threats cryptography has ever faced. However, it seems that real world protocols received little attention so far with respect to their future security. Indeed merely relying upon post-quantum primitives may not suffice in order for a security protocol to be resistant in a full quantum world. In this paper, we consider the fundamental UMTS key agreement used in 3G but also in 4G (LTE), and in the (recently deployed) 5G technology. We analyze the protocol in a quantum setting, with quantum communications (allowing superposition queries by the involved parties), and where quantum computation is granted to the adversary. We prove that, assuming the underlying symmetric-key primitive is quantum-secure, the UMTS key agreement is also quantum-secure. We also give a quantum security analysis of the underlying primitives, namely Milenage and TUAK. To the best of our knowledge this paper provides the first rigorous proof of the UMTS key agreement in a strong quantum setting. Our result shows that in the quantum world to come, the UMTS technology remains a valid scheme in order to secure the communications of billions of users.

In May 2020, Zoom Video Communications, Inc. (Zoom) announced a multi-step plan to comprehensively support end-to-end encrypted (E2EE) group video calls and subsequently rolled out basic E2EE support to customers in October 2020. In this work we provide the first formal security analysis of Zoom's E2EE protocol, and also lay foundation to the general problem of E2EE group video communication. We observe that the vast security literature analyzing asynchronous messaging does not translate well to synchronous video calls. Namely, while strong forms of forward secrecy and post compromise security are less important for (typically short-lived) video calls, various liveness properties become crucial. For example, mandating that participants quickly learn of updates to the meeting roster and key, media streams being displayed are recent, and banned participants promptly lose any access to the meeting. Our main results are as follows: 1. Propose a new notion of leader-based continuous group key agreement with liveness, which accurately captures the E2EE properties specific to the synchronous communication scenario. 2. Prove security of the core of Zoom's E2EE meetings protocol in the above well-defined model. 3. Propose ways to strengthen Zoom's liveness properties by simple modifications to the original protocol, which subsequently influenced updates implemented in production.

A proof of sequential work (PoSW) scheme allows the prover to convince a verifier that it computed a certain number of computational steps sequentially. Very recently, graph-labeling PoSW schemes, found applications in light-client blockchain protocols, most notably bootstrapping. A bootstrapping protocol allows a light client, with minimal information about the blockchain, to hold a commitment to its stable prefix. An incremental PoSW (iPoSW) scheme allows the prover to non-trivially increment proofs: given $\chi,\pi_1$ and integers $N_1,N_2$ such that $\pi_1$ is a valid proof for $N_1$, it generates a valid proof $\pi$ for $N_1+N_2$. In this work, we construct an iPoSW scheme based on the skiplist-based PoSW scheme of Abusalah et al. and prove its security in the random oracle model by employing the powerful on-the-fly sampling technique of Döttling et al. Moreover, unlike the iPoSW scheme of Döttling et al., ours is the first iPoSW scheme which is suitable for constructing incremental non-interactive arguments of chain knowledge (SNACK) schemes, which are at the heart of space and time efficient blockchain light-client protocols. In particular, our scheme works for general weight distributions, which we characterize as incrementally sampleable distributions. Our general treatment recovers the distribution underlying the scheme of Döttling et al. as well as the distribution underlying SNACK-enabled bootstrapping application as special cases. In realizing our general construction, we develop a new on-the-fly sampling technique.

We give a construction of public key quantum money, and even a strengthened version called quantum lightning, from abelian group actions, which can in turn be constructed from suitable isogenies over elliptic curves. We prove security in the generic group model for group actions under a plausible computational assumption, and develop a general toolkit for proving quantum security in this model. Along the way, we explore knowledge assumptions and algebraic group actions in the quantum setting, finding significant limitations of these assumptions/models compared to generic group actions.

Verification of program safety is often reducible to proving the unsatisfiability (i.e., validity) of a formula in Satisfiability Modulo Theories (SMT): Boolean logic combined with theories that formalize arbitrary first-order fragments. Zero-knowledge (ZK) proofs allow SMT formulas to be validated without revealing the underlying formulas or their proofs to other parties, which is a crucial building block for proving the safety of proprietary programs. Recently, Luo et al. (CCS 2022) studied the simpler problem of proving the unsatisfiability of pure Boolean formulas, but it does not support safety proofs generated by SMT solvers. This work presents ZKSMT, a novel framework for proving the validity of SMT formulas in ZK. We design a virtual machine (VM) tailored to efficiently represent the verification process of SMT validity proofs in ZK. Our VM can support the vast majority of popular theories when proving program safety while being complete and sound. To demonstrate this, we instantiate the commonly used theories of equality and linear integer arithmetic in our VM with theory-specific optimizations for proving them in ZK. ZKSMT achieves high practicality even when running on realistic SMT formulas generated by Boogie, a common tool for software verification. It achieves a three-order-of-magnitude improvement compared to a baseline that executes the proof verification code in a general ZK system.

In this paper, we introduce a new approach to efficiently compute TFHE bootstrapping keys for (predefined) multiple users. Hence, a fixed number of users can enjoy the same level of efficiency as in the single key setting, keeping their individual input privacy. Our construction relies on a novel algorithm called homomorphic indicator, which can be of independent interest. We provide a detailed analysis of the noise growth and a set of secure parameters suitable to be used in practice. Moreover, we compare the complexity of our technique with other state-of-the-art constructions and show which method performs better in what parameter sets, based on our noise analysis. We also provide a prototype implementation of our technique. To the best of our knowledge, this is the first implementation of TFHE in the multiparty setting.

Multi-signatures allow for compressing many signatures for the same message that were generated under independent keys into one small aggregated signature. This primitive is particularly useful for proof-of-stake blockchains, like Ethereum, where the same block is signed by many signers, who vouch for the block's validity. Being able to compress all signatures for the same block into a short string significantly reduces the on-chain storage costs, which is an important efficiency metric for blockchains. In this work, we consider multi-signatures in the synchronized setting, where the signing algorithm takes an additional time parameter as input and it is only required that signatures for the same time step are aggregatable. The synchronized setting is simpler than the general multi-signature setting, but is sufficient for most blockchain related applications, as signers are naturally synchronized by the length of the chain. We present Chipmunk, a concretely efficient lattice-based multi-signature scheme in the synchronized setting that allows for signing an a-priori bounded number of messages. Chipmunk allows for non-interactive aggregation of signatures and is secure against rogue-key attacks. The construction is plausibly secure against quantum adversaries as our security relies on the assumed hardness of the short integer solution problem. We significantly improve upon the previously best known construction in this setting by Fleischhacker, Simkin, and Zhang (CCS 2022). Our aggregate signature size is $5.6 \times$ smaller and for $112$ bits of security our construction allows for compressing 8192 individual signatures into a multi-signature of size around $136$ KB. We provide a full implementation of Chipmunk and provide extensive benchmarks studying our construction's efficiency.

Protocols for state-machine replication (SMR) often trade off performance for resilience to network delay. In particular, protocols for asynchronous SMR tolerate arbitrary network delay but sacrifice throughput/latency when the network is fast, while partially synchronous protocols have good performance in a fast network but fail to make progress if the network experiences high delay. Existing hybrid protocols are resilient to arbitrary network delay and have good performance when the network is fast, but suffer from high overhead (``thrashing'') if the network repeatedly switches between being fast and slow (e.g., in a network that is typically fast but has intermittent message delays). We propose Abraxas, a generic approach for constructing a hybrid protocol based on any protocol $\Pi_\mathsf{fast}$ and any asynchronous protocol $\Pi_\mathsf{slow}$ to achieve (1)~security and performance equivalent to $\Pi_\mathsf{slow}$ under arbitrary network behavior; (2)~performance equivalent to $\Pi_\mathsf{fast}$ when conditions are favorable. We instantiate Abraxas with the best existing protocols for $\Pi_\mathsf{fast}$ (Jolteon) and $\Pi_\mathsf{slow}$ (2-chain VABA), and show experimentally that the resulting protocol significantly outperforms Ditto, the previous state-of-the-art hybrid protocol.

The privacy pass protocol allows users to redeem anonymously issued cryptographic tokens instead of solving annoying CAPTCHAs. The issuing authority verifies the credibility of the user, who can later use the pass while browsing the web using an anonymous or virtual private network. Hendrickson et al. proposed an IETF draft (privacypass-rate-limit-tokens-00) for a rate-limiting version of the privacy pass protocol, also called rate-limited Privacy Pass (RlP). Introducing a new actor called a mediator makes both versions inherently different. The mediator applies access policies to rate-limit users’ access to the service while, at the same time, should be oblivious to the website/origin the user is trying to access. In this paper, we formally define the rate-limited Privacy Pass protocol and propose a game-based security model to capture the informal security notions introduced by Hendrickson et al.. We show a construction from simple building blocks that fulfills our security definitions and even allows for a post-quantum secure instantiation. Interestingly, the instantiation proposed in the IETF draft is a specific case of our construction. Thus, we can reuse the security arguments for the generic construction and show that the version used in practice is secure.

Guillou-Quisquater (GQ) signature is an efficient RSA-based digital signature scheme amongst the most famous Fiat-Shamir follow-ons owing to its good simplicity. However, there exist two bottlenecks for GQ hindering its application in industry or academia: the RSA trapdoor $n=pq$ in the key generation phase and its high bandwidth caused by the storage-consuming representation of RSA group elements (3072 bits per one element in 128-bit security). In this paper, we first formalize the definition and security proof of class group based GQ signature (CL-GQ), which eliminates the trapdoor in key generation phase and improves the bandwidth efficiency from the RSA-based GQ signature. Then, we construct a trustless GQ multi-signature scheme by applying non-malleable equivocable commitments and our well-designed compact non-interactive zero-knowledge proofs (NIZK). Our scheme has a well-rounded performance compared to existing multiparty GQ, Schnorr and ECDSA schemes, in the aspects of bandwidth (no range proof or multiplication-to-addition protocol required), rather few interactions (only 4 rounds in signing), provable security in \textit{dishonest majority model} and identifiable abort property. Another interesting finding is that, our NIZK is highly efficient (only one round required) by using the Bezout formula, and this trick can also optimize the ZK proof of Paillier ciphertext which greatly improves the speed of Yi's Blind ECDSA (AsiaCCS 2019).

Graph convolutional networks (GCNs) are gaining popularity due to their powerful modelling capabilities. However, guaranteeing privacy is an issue when evaluating on inputs that contain users’ sensitive information such as financial transactions, medical records, etc. To address such privacy concerns, we design Entrada, a framework for securely evaluating GCNs that relies on the technique of secure multiparty computation (MPC). For efficiency and accuracy reasons, Entrada builds over the MPC framework of Tetrad (NDSS’22) and enhances the same by providing the necessary primitives. Moreover, Entrada leverages the GraphSC paradigm of Araki et al. (CCS’21) to further enhance efficiency. This entails designing a secure and efficient shuffle protocol specifically in the 4-party setting, which to the best of our knowledge, is done for the first time and may be of independent interest. Through extensive experiments, we showcase that the accuracy of secure GCN evaluated via Entrada is on par with its cleartext counterpart. We also benchmark efficiency of Entrada with respect to the included primitives as well as the framework as a whole. Finally, we showcase Entrada’s practicality by benchmarking GCN-based fraud detection application.

In the recent work of (Cheon & Lee, Eurocrypt'22), the concept of a degree-$D$ packing method was formally introduced, which captures the idea of embedding multiple elements of a smaller ring into a larger ring, so that element-wise multiplication in the former is somewhat "compatible" with the product in the latter. Then, several optimal bounds and results are presented, and furthermore, the concept is generalized from one multiplication to degrees larger than two. These packing methods encompass several constructions seen in the literature in contexts like secure multiparty computation and fully homomorphic encryption. One such construction is the concept of reverse multiplication-friendly embeddings (RMFEs), which are essentially degree-2 packing methods. In this work we generalize the notion of RMFEs to \emph{degree-$D$ RMFEs} which, in spite of being "more algebraic" than packing methods, turn out to be essentially equivalent. Then, we present a general construction of degree-$D$ RMFEs by generalizing the ideas on algebraic geometry used to construct traditional degree-$2$ RMFEs which, by the aforementioned equivalence, leads to explicit constructions of packing methods. Furthermore, our theory is given in an unified manner for general Galois rings, which include both rings of the form $\mathbb{Z}_{p^k}$ and fields like $\mathbb{F}_{p^k}$, which have been treated separately in prior works. We present multiple concrete sets of parameters for degree-$D$ RMFEs (including $D=2$), which can be useful for future works. Finally, we apply our RMFEs to the task of non-interactively generating high degree correlations for secure multiparty computation protocols. This requires the use of Shamir secret sharing for a large number of parties, which is known to require large-degree Galois ring extensions. Our RMFE enables the generation of such preprocessing data over small rings, without paying for the multiplicative overhead incurred by using Galois ring extensions of large degree. For our application we also construct along the way, as a side contribution of potential independent interest, a pseudo-random secret-sharing solution for non-interactive generation of packed Shamir-sharings over Galois rings with structured secrets, inspired by the PRSS solutions from (Benhamouda et al, TCC 2021).

Updatable encryption (UE) enables a cloud server to update ciphertexts using client-generated tokens. There are two types of UE: ciphertext-independent (c-i) and ciphertext-dependent (c-d). In terms of construction and efficiency, c-i UE utilizes a single token to update all ciphertexts. The update mechanism relies mainly on the homomorphic properties of exponentiation, which limits the efficiency of encryption and updating. Although c-d UE may seem inconvenient as it requires downloading parts of the ciphertexts during token generation, it allows for easy implementation of the Dec-then-Enc structure. This methodology significantly simplifies the construction of the update mechanism. Notably, the c-d UE scheme proposed by Boneh et al. (ASIACRYPT’20) has been reported to be 200 times faster than prior UE schemes based on DDH hardness, which is the case for most existing c-i UE schemes. Furthermore, c-d UE ensures a high level of security as the token does not reveal any information about the key, which is difficult for c-i UE to achieve. However, previous security studies on c-d UE only addressed selective security; the studies for adaptive security remain an open problem. In this study, we make three significant contributions to ciphertextdependent updatable encryption (c-d UE). Firstly, we provide stronger security notions compared to previous work, which capture adaptive security and also consider the adversary’s decryption capabilities under the adaptive corruption setting. Secondly, we propose a new c-d UE scheme that achieves the proposed security notions. The token generation technique significantly differs from the previous Dec-then-Enc structure, while still preventing key leakages. At last, we introduce a packing technique that enables the simultaneous encryption and updating of multiple messages within a single ciphertext. This technique helps alleviate the cost of c-d UE by reducing the need to download partial ciphertexts during token generation.

We present a secret-key encryption scheme based on random rank metric ideal linear codes with a simple decryption circuit. It supports unlimited homomorphic additions and plaintext absorptions as well as a fixed arbitrary number of homomorphic multiplications. We study a candidate bootstrapping algorithm that requires no multiplication but additions and plaintext absorptions only. This latter operation is therefore very efficient in our scheme, whereas bootstrapping is usually the main reason which penalizes the performance of other fully homomorphic encryption schemes. However, the security reduction of our scheme restricts the number of independent ciphertexts that can be published. In particular, this prevents to securely evaluate the bootstrapping algorithm as the number of ciphertexts in the key switching material is too large. Our scheme is nonetheless the first somewhat homomorphic encryption scheme based on random ideal codes and a first step towards full homomorphism. Random ideal codes give stronger security guarantees as opposed to existing constructions based on highly structured codes. We give concrete parameters for our scheme that shows that it achieves competitive sizes and performance, with a key size of 3.7 kB and a ciphertext size of 0.9 kB when a single multiplication is allowed.

This paper examines the vulnerabilities inherent in prevailing Public Key Infrastructure (PKI) systems reliant on centralized Certificate Authorities (CAs), wherein a compromise of the CA introduces risks to the integrity of public key management. We present PKChain, a decentralized and compromise-tolerant public key management system built on blockchain technology, offering transparent, tamper-resistant, and verifiable services for key operations such as registration, update, query, validation, and revocation. Our innovative approach involves a novel threshold block validation scheme that combines a novel threshold cryptographic scheme with blockchain consensus. This scheme allows each validator to validate each public key record partially and proactively secures it before inclusion in a block. Additionally, to further validate and verify each block and to facilitate public verification of the public key records, we introduce an aggregate commitment signature scheme. Our contribution extends to the development of a new, efficient, and practical Byzantine Compromise-Tolerant and Verifiable (pBCTV) consensus model, integrating the proposed validation and signature schemes with practical Byzantine Fault Tolerance (pBFT). Through a comprehensive examination encompassing security analysis, performance evaluation, and a prototype implementation, we substantiate that PKChain is a secure, efficient, and robust solution for public key management.

The classic stable matching algorithm of Gale and Shapley (American Mathematical Monthly '69) and subsequent variants such as those by Roth (Mathematics of Operations Research '82) and Abdulkadiroglu et al. (American Economic Review '05) have been used successfully in a number of real-world scenarios, including the assignment of medical-school graduates to residency programs, New York City teenagers to high schools, and Norwegian and Singaporean students to schools and universities. However, all of these suffer from one shortcoming: in order to avoid strategic manipulation, they require all participants to submit their preferences to a trusted third party who performs the computation. In some sensitive application scenarios, there is no appropriate (or cost-effective) trusted party. This makes stable matching a natural candidate for secure computation. Several approaches have been proposed to overcome this, based on secure multiparty computation (MPC), fully homomorphic encryption, etc.; many of these protocols are slow and impractical for real-world use. We propose a novel primitive for privacy-preserving stable matching using MPC (i.e., arithmetic circuits, for any number of parties). Specifically, we discuss two variants of oblivious stable matching and describe an improved oblivious stable matching on the random memory access model based on lookup tables. To explore and showcase the practicality of our proposed primitive, we present detailed benchmarks (at various problem sizes) of our constructions using two popular frameworks: SCALE-MAMBA and MP-SPDZ.

In their 2022 study, Kuang et al. introduced the Multivariable Polynomial Public Key (MPPK) cryptography, a quantum-safe public key cryptosystem leveraging the mutual inversion relationship between multiplication and division. MPPK employs multiplication for key pair construction and division for decryption, generating public multivariate polynomials. Kuang and Perepechaenko expanded the cryptosystem into the Homomorphic Polynomial Public Key (HPPK), transforming product polynomials over large hidden rings using homomorphic encryption through modular multiplications. Initially designed for key encapsulation mechanism (KEM), HPPK ensures security through homomorphic encryption of public polynomials over concealed rings. This paper extends its application to a digital signature scheme. The framework of HPPK KEM can not be directly applied to the digital signatures dues to the different nature of verification procedure compared to decryption procedure. Thus, in order to use the core ideas of the HPPK KEM scheme in the framework of digital signatures, the authors introduce an extension of the Barrett reduction algorithm. This extension transforms modular multiplications over hidden rings into divisions in the verification equation, conducted over a prime field. The extended algorithm non-linearly embeds the signature into public polynomial coefficients, employing the floor function of big integer divisions. This innovative approach overcomes vulnerabilities associated with linear relationships of earlier MPPK DS schemes. The security analysis reveals exponential complexity for both private key recovery and forged signature attacks, taking into account that the bit length of the rings is twice that of the prime field size. The effectiveness of the proposed Homomorphic Polynomial Public Key Digital Signature (HPPK DS) scheme is illustrated through a practical toy example, showcasing its intricate functionality and enhanced security features.

Recent private information retrieval (PIR) schemes preprocess the database with a query-independent offline phase in order to achieve sublinear computation during a query-specific online phase. These offline/online protocols expand the set of applications that can profitably use PIR, but they make a critical assumption: that the database is immutable. In the presence of changes such as additions, deletions, or updates, existing schemes must preprocess the database from scratch, wasting prior effort. To address this, we introduce incremental preprocessing for offline/online PIR schemes, allowing the original preprocessing to continue to be used after database changes, while incurring an update cost proportional to the number of changes rather than the size of the database. We adapt two offline/online PIR schemes to use incremental preprocessing and show how it significantly improves the throughput and reduces the latency of applications where the database changes over time.

Private set intersection protocols allow two parties with private sets of data to compute the intersection between them without leaking other information about their sets. These protocols have been studied for almost 20 years, and have been significantly improved over time, reducing both their computation and communication costs. However, when more than two parties want to compute a private set intersection, these protocols are no longer applicable. While extensions exist to the multi-party case, these protocols are significantly less efficient than the two-party case. It remains an open question to design collusion-resistant multi-party private set intersection (MPSI) protocols that come close to the efficiency of two-party protocols. This work is made more difficult by the immense variety in the proposed schemes and the lack of systematization. Moreover, each new work only considers a small subset of previously proposed protocols, leaving out important developments from older works. Finally, MPSI protocols rely on many possible constructions and building blocks that have not been summarized. This work aims to point protocol designers to gaps in research and promising directions, pointing out common security flaws and sketching a frame of reference. To this end, we focus on the semi-honest model. We conclude that current MPSI protocols are not a one-size-fits-all solution, and instead there exist many protocols that each prevail in their own application setting.

As various industries and government agencies increasingly seek to build quantum computers, the development of post-quantum constructions for different primitives becomes crucial. Lattice-based cryptography is one of the top candidates for constructing quantum-resistant primitives. In this paper, we propose a decentralized Private Stream Aggregation (PSA) protocol based on the Learning with Errors (LWE) problem. PSA allows secure aggregation of time-series data over multiple users without compromising the privacy of the individual data. In almost all previous constructions, a trusted entity is used for the generation of keys. We consider a scenario where the users do not want to rely on a trusted authority. We, therefore, propose a decentralized PSA (DPSA) scheme where each user generates their own keys without the need for a trusted setup. We give a concrete construction based on the hardness of the LWE problem both in the random oracle model and in the standard model.

Secure distributed generation of RSA moduli (e.g., generating $N=pq$ where none of the parties learns anything about $p$ or $q$) is an important cryptographic task, that is needed both in threshold implementations of RSA-based cryptosystems and in other, advanced cryptographic protocols that assume that all the parties have access to a trusted RSA modulo. In this paper, we provide a novel protocol for secure distributed RSA key generation based on the Miller-Rabin test. Compared with the more commonly used Boneh-Franklin test (which requires many iterations), the Miller-Rabin test has the advantage of providing negligible error after even a single iteration of the test for large enough moduli (e.g., $4096$ bits). From a technical point of view, our main contribution is a novel divisibility test which allows to perform the primality test in an efficient way, while keeping $p$ and $q$ secret. Our semi-honest RSA generation protocol uses any underlying secure multiplication protocol in a black-box way, and our protocol can therefore be instantiated in both the honest or dishonest majority setting based on the chosen multiplication protocol. Our semi-honest protocol can be upgraded to protect against active adversaries at low cost using existing compilers. Finally, we provide an experimental evaluation showing that for the honest majority case, our protocol is much faster than Boneh-Franklin.

Fuzzy Password-Authenticated Key Exchange (fuzzy PAKE) allows cryptographic keys to be generated from authentication data that is both fuzzy and of low entropy. The strong protection against offline attacks offered by fuzzy PAKE opens an interesting avenue towards secure biometric authentication, typo-tolerant password authentication, and automated IoT device pairing. Previous constructions of fuzzy PAKE are either based on Error Correcting Codes (ECC) or generic multi-party computation techniques such as Garbled Circuits. While ECC-based constructions are significantly more efficient, they rely on multiple special properties of error correcting codes such as maximum distance separability and smoothness. We contribute to the line of research on fuzzy PAKE in two ways. First, we identify a subtle but devastating gap in the security analysis of the currently most efficient fuzzy PAKE construction (Dupont et al., Eurocrypt 2018), allowing a man-in-the-middle attacker to test individual password characters. Second, we provide a new fuzzy PAKE scheme based on ECC and PAKE that provides a built-in protection against individual password character guesses and requires fewer, more standard properties of the underlying ECC. Additionally, our construction offers better error correction capabilities than previous ECC-based fuzzy PAKEs.

In this paper, we introduce Oblivious Homomorphic Encryption (OHE) which provably separates the computation spaces of multiple clients of a fully homomorphic encryption (FHE) service while keeping the evaluator blind about whom a result belongs. We justify the importance of this strict isolation property of OHE by showing an attack on a recently proposed key-private cryptocurrency scheme. Our two OHE constructions are based on a puncturing function where the evaluator can effectively mask ciphertexts from rogue and potentially colluding clients. In the first construction OHE1, we show that this can be im- plemented via an FHE scheme (with key privacy and weak wrong-key decryption properties) plus an anonymous commitment scheme. The second construction OHE2, for flexibility of primitive choice, achieves this via a combination of a standard FHE scheme, an encryption scheme with key privacy and weak wrong-key decryption, and an anonymous commitment scheme. OHE can be used to provide provable anonymity to cloud applications, single server implementations of anonymous messaging as well as account-based cryptocurrencies.

In this paper, we consider to generalize NIZK by empowering a prover to share a witness in a fine-grained manner with verifiers. Roughly, the prover is able to authorize a verifier to obtain extra information of witness, i.e., besides verifying the truth of the statement, the verifier can additionally obtain certain function of the witness from the accepting proof using a secret functional key provided by the prover. To fulfill these requirements, we introduce a new primitive called \emph{non-interactive zero-knowledge functional proofs (fNIZKs)}, and formalize its security notions. We provide a generic construction of fNIZK for any $\textsf{NP}$ relation $\mathcal{R}$, which enables the prover to share any function of the witness with a verifier. For a widely-used relation about set membership proof (implying range proof), we construct a concrete and efficient fNIZK, through new building blocks (set membership encryption and dual inner-product encryption), which might be of independent interest.

We present a deterministic synchronous protocol for binary Byzantine Agreement against a corrupt minority with adaptive $O(n\cdot f)$ communication complexity, where $f$ is the exact number of corruptions. Our protocol improves the previous best-known deterministic Byzantine Agreement protocol developed by Momose and Ren (DISC 2021), whose communication complexity is quadratic, independent of the exact number of corruptions. Our approach combines two distinct primitives that we introduce and implement with $O(n\cdot f)$ communication, Reliable Voting, and Weak Byzantine Agreement. In Reliable Voting, all honest parties agree on the same value only if all honest parties start with that value, but there is no agreement guarantee in the general case. In Weak Byzantine Agreement, we achieve agreement, but validity requires that the inputs to the protocol satisfy certain properties. Our Weak Byzantine Agreement protocol is an adaptation of the recent Cohen et al. protocol (OPODIS 2022), in which we identify and address various issues.

Private information retrieval (PIR) is a cryptographic protocol that enables a wide range of privacy-preserving applications. Despite being extensively studied for decades, it is still not efficient enough to be used in practice. In this paper, we propose a novel PIR protocol named PIRANA, based on the recent advances in constant-weight codes. It is up to 188.6× faster than the original constant-weight PIR (presented in Usenix SEC '22). Most importantly, PIRANA naturally supports multi-query. It allows a client to retrieve a batch of elements from the server with a very small extra-cost compared to retrieving a single element, which results in up to an 14.4× speedup over the state-of-the-art multi-query PIR (presented in Oakland '23). We also discuss a way to extend PIRANA to labeled private set intersection (LPSI). Compared with existing LPSI protocols, PIRANA is more friendly to the scenarios where the database updates frequently.

Zero-knowledge range proofs play a critical role in confidential transactions (CT) on blockchain systems. They are used to prove the non-negativity of committed transaction payments without disclosing the exact values. Logarithmic-sized range proofs with transparent setups, e.g., Bulletproofs, which aim to prove a committed value lies in the range $[0, 2^N-1]$ where $N$ is the bit length of the range, have gained growing popularity for communication-critical blockchain systems as they increase scalability by allowing a block to accommodate more transactions. In this paper, we propose SwiftRange, a new type of logarithmic-sized zero-knowledge range argument with a transparent setup in the discrete logarithm setting. Our argument can be a drop-in replacement for range proofs in blockchain-based confidential transactions. Compared with Bulletproofs, our argument has higher computational efficiency and lower round complexity while incurring comparable communication overheads for CT-friendly ranges, where $N \in \{32,64\}$. Specifically, a single SwiftRange achieves 1.73$\times$ and 1.37$\times$ proving efficiency with no more than 1.1$\times$ communication costs for both ranges, respectively. More importantly, our argument is doubly efficient in verification efficiency. Furthermore, our argument has a smaller size when $N \leq 16$, making it competitive for many other communication-critical applications. Our argument supports the aggregation of multiple single arguments for greater efficiency in communication and verification. Finally, we benchmarked our argument against the state-of-the-art range proofs to demonstrate its practicality.

Zero-knowledge protocols enable the truth of a mathematical statement to be certified by a verifier without revealing any other information. Such protocols are a cornerstone of modern cryptography and recently are becoming more and more practical. However, a major bottleneck in deployment is the efficiency of the prover and, in particular, the space-efficiency of the protocol. For every $\mathsf{NP}$ relation that can be verified in time $T$ and space $S$, we construct a public-coin zero-knowledge argument in which the prover runs in time $T \cdot \mathrm{polylog}(T)$ and space $S \cdot \mathrm{polylog}(T)$. Our proofs have length $\mathrm{polylog}(T)$ and the verifier runs in time $T \cdot \mathrm{polylog}(T)$ (and space $\mathrm{polylog}(T)$). Our scheme is in the random oracle model and relies on the hardness of discrete log in prime-order groups. Our main technical contribution is a new space efficient polynomial commitment scheme for multi-linear polynomials. Recall that in such a scheme, a sender commits to a given multi-linear polynomial $P \colon \mathbb{F}^n \rightarrow \mathbb{F}$ so that later on it can prove to a receiver statements of the form "$P(x) = y$". In our scheme, which builds on the commitment schemes of Bootle et al. (Eurocrypt 2016) and Bünz et al. (S&P 2018), we assume that the sender is given multi-pass streaming access to the evaluations of $P$ on the Boolean hypercube and w show how to implement both the sender and receiver in roughly time $2^n$ and space $n$ and with communication complexity roughly $n$.

We construct a sublinear-time single-server pre-processing Private Information Retrieval (PIR) scheme with optimal client storage and server computation (up to poly-logarithmic factors), only relying on the assumption of the existence of One Way Functions (OWF). Our scheme achieves amortized $\tilde{O}(\sqrt{n})$ online server computation and client computation and $O(\sqrt{n})$ online communication per query, and requires $\widetilde{O}_\lambda(\sqrt{n})$ client storage. Unlike prior single-server PIR schemes that rely on heavy cryptographic machinery such as Homomorphic Encryption, our scheme only utilizes lightweight cryptography such as PRFs, which is easily instantiated in practice. To our knowledge, this is the first practical implementation of a single-server sublinear-time PIR scheme. Compared to existing linear time single-server solutions, our schemes are faster by $40-900\times$ and are comparable to the fastest two-server schemes. In particular, for a 100GB database of 1.6 billion entries, our experiments show that our scheme has 12ms online computation time on a single core.

In the attacker models of Side-Channel Attacks (SCA) and Fault Injection Attacks (FIA), the opponent has access to a noisy version of the internal behavior of the hardware. Since the end of the nineties, many works have shown that this type of attacks constitutes a serious threat to cryptosystems implemented in embedded devices. In the state-of-the-art, there exist several countermeasures to protect symmetric encryption (especially AES-128). Most of them protect only against one of these two attacks (either SCA or FIA). The main known counter-measure against SCA is masking; it makes the complexity of SCA growing exponentially with its order d. The most general version of masking is based on error correcting codes. It has the advantage of offering in principle a protection against both types of attacks (SCA and FIA), but all the functions implemented in the algorithm need to be masked accordingly, and this is not a simple task in general. We propose a particular version of such construction that has several advantages: it has a very low computation complexity, it offers a concrete protection against both SCA and FIA, and finally it allows flexibility: being not specifically dedicated to AES, it can be applied to any block cipher with any S-boxes. In the state-of-art, masking schemes all come with pros and cons concerning the different types of complexity (time, memory, amount of randomness). Our masking scheme concretely achieves the complexity of the best known scheme, for each complexity type

Secure multi-party computation (MPC) enables (joint) computations on sensitive data while maintaining privacy. In real-world scenarios, asymmetric trust assumptions are often most realistic, where one somewhat trustworthy entity interacts with smaller clients. We generalize previous two-party computation (2PC) protocols like MUSE (USENIX Security'21) and SIMC (USENIX Security'22) to the three-party setting (3PC) with one malicious party, avoiding the performance limitations of dishonest-majority inherent to 2PC. We introduce two protocols, Auxiliator and Socium, in a machine learning (ML) friendly design with a fast online phase and novel verification techniques in the setup phase. These protocols bridge the gap between prior 3PC approaches that considered either fully semi-honest or malicious settings. Auxiliator enhances the semi-honest two-party setting with a malicious helper, significantly improving communication by at least two orders of magnitude. Socium extends the client-malicious setting with one malicious client and a semi-honest server, achieving substantial communication improvement by at least one order of magnitude compared to SIMC. Besides an implementation of our new protocols, we provide the first open-source implementation of the semi-honest 3PC protocol ASTRA (CCSW'19) and a variant of the malicious 3PC protocol SWIFT (USENIX Security'21).

A central direction of research in secure multiparty computation with dishonest majority has been to achieve three main goals: 1. reduce the total number of rounds of communication (to four, which is optimal); 2. use only polynomial-time hardness assumptions, and 3. rely solely on cryptographic assumptions in a black-box manner. This is especially challenging when we do not allow a trusted setup assumption of any kind. While protocols achieving two out of three goals in this setting have been designed in recent literature, achieving all three simultaneously remained an elusive open question. Specifically, it was answered positively only for a restricted class of functionalities. In this paper, we completely resolve this long-standing open question. Specifically, we present a protocol for all polynomial-time computable functions that does not require any trusted setup assumptions and achieves all three of the above goals simultaneously.

Oblivious RAM (ORAM) is a general-purpose technique for hiding memory access patterns. This is a fundamental task underlying many secure computation applications. While known ORAM schemes provide optimal asymptotic complexity, despite extensive efforts, their concrete costs remain prohibitively expensive for many interesting applications. The current state-of-the-art practical ORAM schemes are suitable only for somewhat small memories (Square-Root ORAM or Path ORAM). This work presents a novel concretely efficient ORAM construction based on recent breakthroughs in asymptotic complexity of ORAM schemes (PanORAMa and OptORAMa). We bring these constructions to the realm of practically useful schemes by relaxing the restriction on constant local memory size. Our design provides a factor of at least $6$ to $8$ improvement over an implementation of the original Path ORAM for a set of reasonable memory sizes (e.g., 1GB, 1TB) and with the same local memory size. To our knowledge, this is the first practical implementation of an ORAM based on the full hierarchical ORAM framework. Prior to our work, the belief was that hierarchical ORAM-based constructions were inherently too expensive in practice. We implement our design and provide extensive evaluation and experimental results.

Private join and compute (PJC) is a paradigm where two parties owing their private database securely join their databases and compute a function over the combined database. Inner product PJC, introduced by Lepoint et al. (Asiacrypt'21), is a class of PJC that has a wide range of applications such as secure analysis of advertising campaigns. In this computation, two parties, each of which has a set of identifier-value pairs, compute the inner product of the values after the (inner) join of their databases with respect to the identifiers. They proposed inner product PJC protocols that are specialized for the unbalanced setting where the input sizes of both parties are significantly different and not suitable for the balanced setting where the sizes of two inputs are relatively close. We propose an inner product PJC protocol that is much more efficient than that by Lepoint et al. for balanced inputs in the setting where both parties are allowed to learn the intersection size additionally. Our protocol can be seen as an extension of the private intersection-sum protocol based on the decisional Diffie-Hellman assumption by Ion et al. (EuroS&P'20) and is especially communication-efficient as the private intersection-sum protocol. In the case where both input sizes are $2^{16}$, the communication cost of our inner-product PJC protocol is $46\times$ less than that of the inner product PJC protocol by Lepoint et al.

Machine-checked cryptography aims to reinforce confidence in the primitives and protocols that underpin all digital security. However, machine-checked proof techniques remain in practice difficult to apply to real-world constructions. A particular challenge is structured reasoning about complex constructions at different levels of abstraction. The State-Separating Proofs (SSP) methodology for guiding cryptographic proofs by Brzuska, Delignat-Lavaud, Fournet, Kohbrok and Kohlweiss (ASIACRYPT'18) is a promising contestant to support such reasoning. In this work, we explore how SSPs can guide EasyCrypt formalisations of proofs for modular constructions. Concretely, we propose a mapping from SSP to EasyCrypt concepts which enables us to enhance cryptographic proofs with SSP insights while maintaining compatibility with existing EasyCrypt proof support. To showcase our insights, we develop a formal security proof for the Cryptobox family of public-key authenticated encryption schemes based on non-interactive key exchange and symmetric authenticated encryption. As a side effect, we obtain the first formal security proof for NaCl's instantiation of Cryptobox. Finally we discuss changes to the practice of SSP on paper and potential implications for future tool designers.

Secure Multiparty Computation (MPC) protocols enable secure evaluation of a circuit by several parties, even in the presence of an adversary who maliciously corrupts all but one of the parties. These MPC protocols are constructed using the well-known secret-sharing-based paradigm (SPDZ and SPD$\mathbb{Z}_{2^k}$), where the protocols ensure security against a malicious adversary by computing Message Authentication Code (MAC) tags on the input shares and then evaluating the circuit with these input shares and tags. However, this tag computation adds a significant runtime overhead, particularly for machine learning (ML) applications with computationally intensive linear layers, such as convolutions and fully connected layers. To alleviate the tag computation overhead, we introduce CompactTag, a lightweight algorithm for generating MAC tags specifically tailored for linear layers in ML. Linear layer operations in ML, including convolutions, can be transformed into Toeplitz matrix multiplications. For the multiplication of two matrices with dimensions T1 × T2 and T2 × T3 respectively, SPD$\mathbb{Z}_{2^k}$ required O(T1 · T2 · T3) local multiplications for the tag computation. In contrast, CompactTag only requires O(T1 · T2 + T1 · T3 + T2 · T3) local multiplications, resulting in a substantial performance boost for various ML models. We empirically compared our protocol to the SPD$\mathbb{Z}_{2^k}$ protocol for various ML circuits, including ResNet Training-Inference, Transformer Training-Inference, and VGG16 Training-Inference. SPD$\mathbb{Z}_{2^k}$ dedicated around 30% of its online runtime for tag computation. CompactTag speeds up this tag computation bottleneck by up to 23×, resulting in up to 1.47× total online phase runtime speedups for various ML workloads.

Today, two-party secure messaging is well-understood and widely adopted on the Internet, e.g., Signal and WhatsApp. Multiparty protocols for secure group messaging on the other hand are less mature and many protocols with different tradeoffs exist. Generally, such protocols require parties to first agree on a shared secret group key and then periodically update it while preserving forward secrecy (FS) and post compromise security (PCS). We present a new framework, called a key lattice, for managing keys in concurrent group messaging. Our framework can be seen as a ``key management'' layer that enables concurrent group messaging when secure pairwise channels are available. Proving security of group messaging protocols using the key lattice requires new game-based security definitions for both FS and PCS. Our new definitions are both simpler and more natural than previous ones, as our framework combines both FS and PCS into directional variants of the same abstraction, and additionally avoids dependence on time-based epochs. Additionally, we give a concrete, standalone instantiation of a concurrent group messaging protocol for dynamic groups. Our protocol provides both FS and PCS, supports concurrent updates, and only incurs $O(1)$ overhead for securing the messaging payload, $O(n)$ update cost and $O(n)$ healing costs, which are optimal.

In this work we first examine the hardness of solving various search problems by hybrid quantum-classical strategies, namely, by algorithms that have both quantum and classical capabilities. We then construct a hybrid quantum-classical search algorithm and analyze its success probability. Regarding the former, for search problems that are allowed to have multiple solutions and in which the input is sampled according to arbitrary distributions we establish their hybrid quantum-classical query complexities---i.e., given a fixed number of classical and quantum queries, determine what is the probability of solving the search task. At a technical level, our results generalize the framework for hybrid quantum-classical search algorithms recently proposed by Rosmanis. Namely, for an arbitrary distribution $D$ on Boolean functions, the probability that an algorithm equipped with $\tau_c$ classical queries and $\tau_q$ quantum queries succeeds in finding a preimage of $1$ for a function sampled from $D$ is at most $\nu_D \cdot(2\sqrt{\tau_c} + 2\tau_q + 1)^2$, where $\nu_D$ captures the average (over $D$) fraction of preimages of $1$. As applications of our hardness results, we first revisit and generalize the formal security treatment of the Bitcoin protocol called the Bitcoin backbone [Eurocrypt 2015], to a setting where the adversary has both quantum and classical capabilities, presenting a new hybrid honest majority condition necessary for the protocol to properly operate. Secondly, we re-examine the generic security of hash functions [PKC 2016] against quantum-classical hybrid adversaries. Regarding our second contribution, we design a hybrid algorithm which first spends all of its classical queries and in the second stage runs a ``modified Grover'' in which the initial state depends on the target distribution $D$. We then show how to analyze its success probability for arbitrary target distributions and, importantly, its optimality for the uniform and the Bernoulli distribution cases.

Boolean Searchable Symmetric Encryption (BSSE) enables users to perform retrieval operations on the encrypted data while sup- porting complex query capabilities. This paper focuses on addressing the storage overhead and privacy concerns associated with existing BSSE schemes. While Patel et al. (ASIACRYPT’21) and Bag et al. (PETS’23) introduced BSSE schemes that conceal the number of single keyword re- sults, both of them suffer from quadratic storage overhead and neglect the privacy of search and access patterns. Consequently, an open ques- tion arises: Can we design a storage-efficient Boolean query scheme that effectively suppresses leakage, covering not only the volume pattern for singleton keywords, but also search and access patterns? In light of the limitations of existing schemes in terms of storage over- head and privacy protection, this work presents a novel solution called SESAME. It realizes efficient storage and privacy preserving based on Bloom filter and functional encryption. Moreover, we propose an en- hanced version, SESAME+, which offers improved search performance. By rigorous security analysis on the leakage functions of our schemes, we provide a formal security proof. Finally, we implement our schemes and demonstrate that SESAME+ achieves superior search efficiency and reduced storage overhead.

The security of blockchain protocols is a combination of two properties: safety and liveness. It is well known that no blockchain protocol can provide both to sleepy (intermittently online) clients under adversarial majority. However, safety is more critical in that a single safety violation can cause users to lose money. At the same time, liveness must not be lost forever. We show that, in a synchronous network, it is possible to maintain safety for all clients even during adversarial majority, and recover liveness after honest majority is restored. Our solution takes the form of a recovery gadget that can be applied to any protocol with certificates (such as HotStuff, Streamlet, Tendermint, and their variants).

We optimize Zero Knowledge (ZK) proofs of statements expressed as RAM programs over arithmetic values. Our arithmetic-circuit-based read/write memory uses only 4 input gates and 6 multiplication gates per memory access. This is an almost 3× total gate improvement over prior state of the art (Delpech de Saint Guilhem et al., SCN’22). We implemented our memory in the context of ZK proofs based on vector oblivious linear evaluation (VOLE), and we further optimize based on techniques available in the VOLE setting. Our experiments show that (1) our total runtime improves over that of the prior best VOLE-ZK RAM (Franzese et al., CCS’21) by 2-20× and (2) on a typical hardware setup, we can achieve ≈ 600K RAM accesses per second. We also develop improved read-only memory and set ZK data structures. These are used internally in our read/write memory and improve over prior work.

Zero-knowledge proofs for NP statements are an essential tool for building various cryptographic primitives and have been extensively studied in recent years. In a seminal result from Goldreich, Micali and Wigderson (JACM'91), zero-knowledge proofs for NP statements can be built from any one-way function, but this construction leads very inefficient proofs. To yield practical constructions, one often uses the additional structure provided by homomorphic commitments. In this paper, we introduce a relaxed notion of homomorphic commitments, called malleable commitments, which requires less structure to be instantiated. We provide a malleable commitment construction from the ElGamal-type isogeny-based group action (Eurocrypt’22). We show how malleable commitments with a group structure in the malleability can be used to build zero-knowledge proofs for NP statements, improving on the naive construction from one-way functions. We consider three representations: arithmetic circuits, rank-1 constraint systems and branching programs. This work gives the first attempt at constructing a post-quantum generic proof system from isogeny assumptions (the group action DDH problem). Though the resulting proof systems are linear in the circuit size, they possess interesting features such as non-interactivity, statistical zero-knowledge, and online-extractability.

When outsourcing a database to an untrusted remote server, one might want to verify the integrity of contents while accessing it. To solve this, Blum et al. [FOCS `91] propose the notion of memory checking. Memory checking allows a user to run a RAM program on a remote server, with the ability to verify integrity of the storage with small local storage. In this work, we define and initiate the formal study of memory checking for Parallel RAMs (PRAMs). The parallel RAM model is very expressive and captures many modern architectures such as multi-core architectures and cloud clusters. When multiple clients run a PRAM algorithm on a shared remote server, it is possible that there are concurrency issues that cause inconsistencies. Therefore, integrity verification is even more desirable property in this setting. Assuming only the existence of one-way functions, we construct an online memory checker (one that reports faults as soon as they occur) for PRAMs with $O(\log N)$ simulation overhead in both work and depth. In addition, we construct an offline memory checker (one that reports faults only after a long sequence of operations) with amortized $O(1)$ simulation overhead in both work and depth. Our constructions match the best known simulation overhead of the memory checkers in the standard single-user RAM setting. As an application of our parallel memory checking constructions, we additionally construct the first maliciously secure oblivious parallel RAM (OPRAM) with polylogarithmic overhead.

Zero-knowledge proof is a powerful cryptographic primitive that has found various applications in the real world. However, existing schemes with succinct proof size suffer from a high overhead on the proof generation time that is super-linear in the size of the statement represented as an arithmetic circuit, limiting their efficiency and scalability in practice. In this paper, we present Orion, a new zero-knowledge argument system that achieves $O(N)$ prover time of field operations and hash functions and $O(\log^2 N)$ proof size. Orion is concretely efficient and our implementation shows that the prover time is 3.09s and the proof size is 1.5MB for a circuit with $2^{20}$ multiplication gates. The prover time is the fastest among all existing succinct proof systems, and the proof size is an order of magnitude smaller than a recent scheme proposed in Golovnev et al. 2021. In particular, we develop two new techniques leading to the efficiency improvement. (1) We propose a new algorithm to test whether a random bipartite graph is a lossless expander graph or not based on the small set expansion problem. It allows us to sample lossless expanders with an overwhelming probability. The technique improves the efficiency and/or security of all existing zero-knowledge argument schemes with a linear prover time. (2) We develop an efficient proof composition scheme, code switching, to reduce the proof size from square root to polylogarithmic in the size of the computation. The scheme is built on the encoding circuit of a linear code and shows that the witness of a second zero-knowledge argument is the same as the message in the linear code. The proof composition only introduces a small overhead on the prover time.

Function Secret Sharing (FSS; Eurocrypt 2015) allows a dealer to share a function f with two or more evaluators. Given secret shares of a function f, the evaluators can locally compute secret shares of f(x) on an input x, without learning information about f. In this paper, we initiate the study of access control for FSS. Given the shares of f, the evaluators can ensure that the dealer is authorized to share the provided function. For a function family F and an access control list defined over the family, the evaluators receiving the shares of f ∈ F can efficiently check that the dealer knows the access key for f. This model enables new applications of FSS, such as: – anonymous authentication in a multi-party setting, – access control in private databases, and – authentication and spam prevention in anonymous communication systems. Our definitions and constructions abstract and improve the concrete efficiency of several re- cent systems that implement ad-hoc mechanisms for access control over FSS. The main building block behind our efficiency improvement is a discrete-logarithm zero-knowledge proof-of-knowledge over secret-shared elements, which may be of independent interest. We evaluate our constructions and show a 50–70× reduction in computational overhead com- pared to existing access control techniques used in anonymous communication. In other applications, such as private databases, the processing cost of introducing access control is only 1.5–3× when amortized over databases with 500,000 or more items.

Many secure computation schemes and protocols (such as numerous variants of secure multi-party computation and homomorphic encryption) have favorable performance characteristics when they are used to evaluate addition and scalar multiplication operations on private values that can be represented as ring elements. A purely algebraic argument (with no references to any specific protocol or scheme) can be used to show that the ability to perform these operations is sufficient to implement any univariate map that operates on private values when that map's domain is finite. Such implementations of univariate maps can be composed in sequence any number of times. Other forms of composition for such implementations can be realized by using multiplication operations involving ring elements, but it is possible that these can be substituted with scalar multiplication operations within certain secure computation workflows.

We present a new method for doing multi-party private set intersection against a malicious adversary, which reduces the total communication cost to $ O(nl\kappa) $. Additionally, our method can also be used to build a multi-party Circuit-PSI without payload. Our protocol is based on Vector-OLE(VOLE) and oblivious key-value store(OKVS). To meet the requirements of the protocol, we first promote the definition of VOLE to a multi-party version. After that, we use the new primitive to construct our protocol and prove that it can tolerate all-but-two malicious corruptions. Our protocol follows the idea of [RS21], where each party encodes the respective set as a vector, uses VOLE to encrypt the vector, and finally construct an OPRF to get the result. When it comes to multi-party situation, we have to encrypt several vectors at one time. As a result, the VOLE used in [RS21] and follow-up papers is not enough, that brings our idea of an multi-party VOLE.

We introduce a new primitive called anonymous counting tokens (ACTs) which allows clients to obtain blind signatures or MACs (aka tokens) on messages of their choice, while at the same time enabling issuers to enforce rate limits on the number of tokens that a client can obtain for each message. Our constructions enforce that each client will be able to obtain only one token per message and we show a generic transformation to support other rate limiting as well. We achieve this new property while maintaining the unforgeability and unlinkability properties required for anonymous tokens schemes. We present four ACT constructions with various trade-offs for their efficiency and underlying security assumptions. One construction uses factorization-based primitives and a cyclic group. It is secure in the random oracle model under the q-DDHI assumption (in a cyclic group) and the DCR assumption. Our three other constructions use bilinear maps: one is secure in the standard model under q-DDHI and SXDH, one is secure in the random oracle model under SXDH, and the most efficient of the three is secure in the random oracle model and generic bilinear group model.

Decentralized protocols which require synchronous communication usually achieve it with the help of the time that computer clocks show. These clocks are mostly adjusted by centralized systems such as Network Time Protocol (NTP) because these adjustments are indispensable to reduce the effects of random drifts on clocks. On the other hand, an attack on these systems (which has happened in the past) can cause corruption of the protocols which rely on the time data that they provide to preserve synchronicity. So, we are facing the dilemma of relying on a centralized solution to adjust our timers or risking the security of our decentralized protocols. In this paper, we propose a Global Universal Composable (GUC) model for the physical clock synchronization problem in the decentralized systems by modeling the notion of consensus on clocks. Consensus on clocks is agreed upon considering the local clocks of all parties in a protocol which are possibly drifted. In this way, we model the functionality that e.g. NTP provides in a decentralized manner. In the end, we give a simple but useful protocol relying on a blockchain network that realizes our model. Our protocol can be used by the full nodes of a blockchain that need synchronous clocks in the real world to preserve the correctness and the security of the blockchain protocol. One advantage of our protocol is that it does not cause any extra communication overhead on the underlying blockchain protocol.

In STOC 2019 Canetti et al. showed how to soundly instantiate the Fiat-Shamir transform assuming that prover and verifier have access to the key of a 𝑐𝑜𝑟𝑟𝑒𝑙𝑎𝑡𝑖𝑜𝑛 𝑖𝑛𝑡𝑟𝑎𝑐𝑡𝑎𝑏𝑙𝑒 ℎ𝑎𝑠ℎ 𝑓𝑢𝑛𝑐𝑡𝑖𝑜𝑛 𝑓𝑜𝑟 𝑒𝑓𝑓𝑖𝑐𝑖𝑒𝑛𝑡𝑙𝑦 𝑠𝑒𝑎𝑟𝑐ℎ𝑎𝑏𝑙𝑒 𝑟𝑒𝑙𝑎𝑡𝑖𝑜𝑛𝑠. The transform requires the starting protocol to be a special 3-round public-coin scheme that Canetti et al. call 𝑡𝑟𝑎𝑝𝑑𝑜𝑜𝑟 𝑠𝑖𝑔𝑚𝑎-𝑝𝑟𝑜𝑡𝑜𝑐𝑜𝑙. One downside of the Canetti et al. approach is that the key of the hash function can be used only once (or a pre-determined bounded number of times). That is, each new zero-knowledge proof requires a freshly generated hash key (i.e., a freshly generated setup). This is in contrast to what happens with the standard Fiat-Shamir transform, where the prover, having access to the same hash function (modeled as a random-oracle), can generate an unbounded number of proofs that are guaranteed to be zero-knowledge and sound. As our main contribution, we extend the results of Canetti et al., by proposing a multi-theorem protocol that follows the Fiat-Shamir paradigm and relies on correlation intractable hash functions. Moreover, our protocol remains zero-knowledge and sound even against adversaries that choose the statement to be proven (and the witness for the case of zero-knowledge) adaptively on the key of the hash function. Our construction is presented in the form of a compiler, that follows the Fiat-Shamir paradigm, which takes as input any trapdoor sigma-protocol for the NP-language $L$ and turns it into a non-interactive zero-knowledge protocol that satisfies the properties we mentioned. To be best of our knowledge, ours is the first compiler that follows the Fiat-Shamir paradigm to obtain a multi-theorem adaptive NIZK relying on correlation intractable hash functions.

Adaptive security is a highly desirable property in the design of secure protocols. It tolerates adversaries that corrupt parties as the protocol proceeds, as opposed to static security where the adversary corrupts the parties at the onset of the execution. The well-accepted folklore is that static and adaptive securities are equivalent for perfectly secure protocols. Indeed, this folklore is backed up by a transformation by Canetti et al. (EUROCRYPT'01), showing that any perfectly secure protocol that is statically secure and satisfies some basic requirements is also adaptively secure. Yet, the transformation results in an adaptively secure protocol with inefficient simulation (i.e., where the simulator might run in super-polynomial time even if the adversary runs just in polynomial time). Inefficient simulation is problematic when using the protocol as a sub-routine in the computational setting. Our main question is whether an alternative efficient transformation from static to adaptive security exists. We show an inherent difficulty in achieving this goal generically. In contrast to the folklore, we present a protocol that is perfectly secure with efficient static simulation (therefore also adaptively secure with inefficient simulation), but for which efficient adaptive simulation does not exist (assuming the existence of one-way permutations). In addition, we prove that the seminal protocol of Ben-Or, Goldwasser, and Wigderson (STOC'88) is secure against adaptive, semi-honest corruptions with efficient simulation. Previously, adaptive security of the protocol, as is, was only known either for a restricted class of circuits or for all circuits but with inefficient simulation.

Recently, Servan-Schreiber et al. (S&P 2023) proposed a new notion called private access control lists (PACL) for function secret sharing (FSS), where the FSS evaluators can ensure that the FSS dealer is authorized to share the given function with privacy assurance. In particular, for the secret sharing of a point function $f_{\alpha, \beta}$, namely distributed point function (DPF), the authors showed how to efficiently restrict the choice of $\alpha$ via a specific PACL scheme from verifiable DPF. In this work, we show their scheme is insecure due to the lack of assessment of $\beta$, and we fix it using an auxiliary output. We then propose more fine-grained policy constraints for DPF. Our schemes allow an attribute-based access control w.r.t. $\alpha$, and a template restriction for $\beta$. Furthermore, we show how to reduce the storage size of the constraint representation from $O(N)$ to $O(\log N)$, where $N$ is the number of constraints. Our benchmarks show that the amortized running time of our attribute-based scheme and logarithmic storage scheme is $2.5\times$ - $3\times$ faster than the state-of-the-art with $2^{15}$ constraints.

Private Set Intersection (PSI) is a well-studied secure two-party computation problem in which a client and a server want to compute the intersection of their input sets without revealing additional information to the other party. With this work, we present nested Cuckoo hashing, a novel hashing approach that can be combined with additively homomorphic encryption (AHE) to construct an efficient PSI protocol for unbalanced input sets. We formally prove the security of our protocol against semi-honest adversaries in the standard model. Our protocol yields client computation and communication complexity that is sublinear in the server’s set size and is thus of interest to clients with limited resources. The implementation and empirical evaluation of our protocol using the exponential ElGamal and BGV/BFV encryption schemes attests to state-of-the-art practical performance.

Sigma protocols are one of the most common and efficient zero-knowledge proofs (ZKPs). Over the decades, a large number of Sigma protocols are proposed, yet few works pay attention to the common design principal. In this work, we propose a generic framework of Sigma protocols for algebraic statements from verifiable secret sharing (VSS) schemes. Our framework provides a general and unified approach to understanding Sigma protocols. It not only neatly explains the classic protocols such as Schnorr, Guillou–Quisquater and Okamoto protocols, but also leads to new Sigma protocols that were not previously known. Furthermore, we show an application of our framework in designing ZKPs for composite statements, which contain both algebraic and non-algebraic statements. We give a generic construction of non-interactive ZKPs for composite statements by combining Sigma protocols from VSS and ZKPs following MPC-in-the-head paradigm in a seamless way via a technique of \textit{witness sharing reusing}. Our construction has advantages of requiring no “glue” proofs for combining algebraic and non-algebraic statements. By instantiating our construction using Ligero++ (Bhadauria et al., CCS 2020) and designing an associated Sigma protocol from VSS, we obtain a concrete ZKP for composite statements which achieves a tradeoff between running time and proof size, thus resolving the open problem left by Backes et al. (PKC 2019).

The Byzantine Fault Tolerance (BFT) protocol is a long-standing topic. Recently, a lot of efforts have been made in the research of asynchronous BFT. However, the existing solutions cannot adapt well to the flexible network environment, and suffer from problems such as high communication complexity or long latency. To improve the efficiency of BFT consensus in flexible networks, we propose FaBFT. FaBFT's clients can make their own assumptions about the network conditions, and make the most of their networks based on different network assumptions. We also use the BlockDAG structure and an efficient consistent broadcast protocol to improve the concurrency and reduce the number of steps in FaBFT. The comparison with other asynchronous BFT protocols shows that FaBFT has lower complexity and cancels the dependency on the view change. We prove that FaBFT is an atomic broadcast protocol in the flexible networks.

In distributed cryptography independent parties jointly perform some cryptographic task. In the last decade distributed cryptography has been receiving more attention than ever. Distributed systems power almost all applications, blockchains are becoming prominent, and, consequently, numerous practical and efficient distributed cryptographic primitives are being deployed. The failure models of current distributed cryptographic systems, however, lack expressibility. Assumptions are only stated through numbers of parties, thus reducing this to threshold cryptography, where all parties are treated as identical and correlations cannot be described. Distributed cryptography does not have to be threshold-based. With general distributed cryptography the authorized sets, the sets of parties that are sufficient to perform some task, can be arbitrary, and are usually modeled by the abstract notion of a general access structure. Although the necessity for general distributed cryptography has been recognized long ago and many schemes have been explored in theory, relevant practical aspects remain opaque. It is unclear how the user specifies a trust structure efficiently or how this is encoded within a scheme, for example. More importantly, implementations and benchmarks do not exist, hence the efficiency of the schemes is not known. Our work fills this gap. We show how an administrator can intuitively describe the access structure as a Boolean formula. This is then converted into encodings suitable for cryptographic primitives, specifically, into a tree data structure and a monotone span program. We focus on three general distributed cryptographic schemes: verifiable secret sharing, common coin, and distributed signatures. For each one we give the appropriate formalization and security definition in the general-trust setting. We implement the schemes and assess their efficiency against their threshold counterparts. Our results suggest that the general distributed schemes can offer richer expressibility at no or insignificant extra cost. Thus, they are appropriate and ready for practical deployment.

In 2019, Wan, Liao, Yan and Tsai proposed an article ``Discrete Sliding Mode Control for Chaos Synchronization and Its Application to an Improved ElGamal Cryptosystem''. However, Wan et al. just renamed the variable names without modified the core algorithm. Their paper passed review phase and then published. For this case, it is difficult to detect this situation by computer/digital forensics techniques. In this paper the authors would like to point out this dilemmas.

Threshold ECDSA receives interest lately due to its widespread adoption in blockchain applications. A common building block of all leading constructions involves a secure conversion of multiplicative shares into additive ones, which is called the multiplicative-to-additive (MtA) function. MtA dominates the overall complexity of all existing threshold ECDSA constructions. Specifically, $O(n^2)$ invocations of MtA are required in the case of $n$ active signers. Hence, improvement of MtA leads directly to significant improvements for all state-of-the-art threshold ECDSA schemes. In this paper, we design a novel MtA by revisiting the Joye-Libert (JL) cryptosystem. Specifically, we revisit JL encryption and propose a JL-based commitment, then give efficient zero-knowledge proofs for JL cryptosystem which are the first to have standard soundness. Our new MtA offers the best time-space complexity trade-off among all existing MtA constructions. It outperforms state-of-the-art constructions from Paillier by a factor of $1.85$ to $2$ in bandwidth and $1.2$ to $1.7$ in computation. It is $7\times$ faster than those based on Castagnos-Laguillaumie encryption only at the cost of $2\times$ more bandwidth. While our MtA is slower than OT-based constructions, it saves $18.7\times$ in bandwidth requirement. In addition, we also design a batch version of MtA to further reduce the amotised time and space cost by another $25$%.

We consider the problem of creating, or issuing, zero-knowledge proofs obliviously. In this setting, a prover interacts with a verifier to produce a proof, known only to the verifier. The resulting proof is transferable and can be verified non-interactively by anyone. Crucially, the actual proof cannot be linked back to the interaction that produced it. This notion generalizes common approaches to designing blind signatures, which can be seen as the special case of proving "knowledge of a signing key", and extends the seminal work of Camenisch and Stadler ('97). We propose a provably secure construction of oblivious proofs, focusing on discrete-logarithm representation equipped with AND-composition. We also give three applications of our framework. First, we give a publicly verifiable version of the classical Diffie-Hellman based Oblivious PRF. This yields new constructions of blind signatures and publicly verifiable anonymous tokens. Second, we show how to "upgrade" keyed-verification anonymous credentials (Chase et al., CCS'14) to also be concurrently secure blind signatures on the same set of attributes. Crucially, our upgrade maintains the performance and functionality of the credential in the keyed-verification setting, we only change issuance. We observe that the existing issuer proof that the credential is well-formed may be verified by anyone; creating it with our framework makes it a blind signature, adding public verifiability to the credential system. Finally, we provide a variation of the U-Prove credential system that is provably one-more unforgeable with concurrent issuance sessions. This constitutes a fix for the attack illustrated by Benhamouda et al. (EUROCRYPT'21). Beyond these example applications, as our results are quite general, we expect they may enable modular design of new primitives with concurrent security, a goal that has historically been challenging to achieve.

We present a verifiable delay function based on isogenies of supersingular elliptic curves, using Deuring correspondence and computation of endomorphism rings for the delay. For each input x a verifiable delay function has a unique output y and takes a predefined time to evaluate, even with parallel computing. Additionally, it generates a proof by which the output can efficiently be verified. In our approach the input is a path in the 2-isogeny graph and the output is the maximal order isomorphic to the endomorphism ring of the curve at the end of that path. This approach is presumably quantum-secure, does not require a trusted setup or special primes and the verification is independent from the delay. It works completely within the isogeny setting and the computation of the proof causes no overhead. The efficient sampling of challenges however remains an open problem.

Byzantine agreement (BA), the task of $n$ parties to agree on one of their input bits in the face of malicious agents, is a powerful primitive that lies at the core of a vast range of distributed protocols. Interestingly, in protocols with the best overall communication, the demands of the parties are highly unbalanced: the amortized cost is $\tilde O(1)$ bits per party, but some parties must send $\Omega(n)$ bits. In best known balanced protocols, the overall communication is sub-optimal, with each party communicating $\tilde O(\sqrt{n})$. In this work, we ask whether asymmetry is inherent for optimizing total communication. In particular, is BA possible where each party communicates only $\tilde O(1)$ bits? Our contributions in this line are as follows: 1) We define a cryptographic primitive---succinctly reconstructed distributed signatures (SRDS)---that suffices for constructing $\tilde O(1)$ balanced BA. We provide two constructions of SRDS from different cryptographic and Public-Key Infrastructure (PKI) assumptions. 2) The SRDS-based BA follows a paradigm of boosting from "almost-everywhere" agreement to full agreement, and does so in a single round. Complementarily, we prove that PKI setup and cryptographic assumptions are necessary for such protocols in which every party sends $o(n)$ messages. 3) We further explore connections between a natural approach toward attaining SRDS and average-case succinct non-interactive argument systems (SNARGs) for a particular type of NP-Complete problems (generalizing Subset-Sum and Subset-Product). Our results provide new approaches forward, as well as limitations and barriers, towards minimizing per-party communication of BA. In particular, we construct the first two BA protocols with $\tilde O(1)$ balanced communication, offering a tradeoff between setup and cryptographic assumptions, and answering an open question presented by King and Saia (DISC'09).

This paper introduces Sigmabus, a technique designed to enhance the efficiency of zero-knowledge circuits by relocating computationally expensive operations outside the circuit. Specifically, Sigmabus focuses on moving elliptic curve group operations, typically proven with expensive non-native field arithmetic, to external computations. By leveraging Sigma protocols, elliptic curve group operations are proven outside the circuit, while additional constraints are applied to the circuit to ensure correct execution of the Sigma protocol. This approach can achieve significant performance improvements in zero-knowledge circuits. This paper presents the Sigmabus protocol along with its security proofs, and demonstrates its practical implications through various use cases.

We introduce a new cryptographic primitive, named ring verifiable random function (ring VRF). Ring VRF combines properties of VRF and ring signatures, offering verifiable unique, pseudorandom outputs while ensuring anonymity of the output and message authentication. We design its security in the universal composability (UC) framework and construct two protocols secure in our model. We also formalize a new notion of zero-knowledge (ZK) continuations allowing for the reusability of proofs by randomizing and enhancing the efficiency of one of our ring VRF schemes. We instantiate this notion with our protocol SpecialG which allows a prover to reprove a statement in a constant time and be unlikable to the previous proof(s).

Internet voting systems are supposed to meet the same high standards as traditional paper-based systems when used in real political elections: freedom of choice, universal and equal suffrage, secrecy of the ballot, and independent verifiability of the election result. Although numerous Internet voting systems have been proposed to achieve these challenging goals simultaneously, few come close in reality. We propose a novel publicly verifiable and practically efficient Internet voting system, DeVoS, that advances the state of the art. The main feature of DeVoS is its ability to protect voters' freedom of choice in several dimensions. First, voters in DeVoS can intuitively update their votes in a way that is deniable to observers but verifiable by the voters; in this way voters can secretly overwrite potentially coerced votes. Second, in addition to (basic) vote privacy, DeVoS also guarantees strong participation privacy by end-to-end hiding which voters have submitted ballots and which have not. Finally, DeVoS is fully compatible with Perfectly Private Audit Trail, a state-of-the-art Internet voting protocol with practical everlasting privacy. In combination, DeVoS offers a new way to secure free Internet elections with strong and long-term privacy properties.

In the setting of solitary output computations, only a single designated party learns the output of some function applied to the private inputs of all participating parties with the guarantee that nothing beyond the output is revealed. The setting of solitary output functionalities is a special case of secure multiparty computation, which allows a set of mutually distrusting parties to compute some function of their private inputs. The computation should guarantee some security properties, such as correctness, privacy, fairness, and output delivery. Full security captures all these properties together. Solitary output computation is a common setting that has become increasingly important, as it is relevant to many real-world scenarios, such as federated learning and set disjointness. In the set-disjointness problem, a set of parties with private datasets wish to convey to another party whether they have a common input. In this work, we investigate the limits of achieving set-disjointness which already has numerous applications and whose feasibility (under non-trivial conditions) was left open in the work of Halevi et al. (TCC 2019). Towards resolving this, we completely characterize the set of Boolean functions that can be computed in the three-party setting in the face of a malicious adversary that corrupts up to two of the parties. As a corollary, we characterize the family of set-disjointness functions that can be computed in this setting, providing somewhat surprising results regarding this family and resolving the open question posed by Halevi et al.

In secure multiparty computation (MPC), the goal is to allow a set of mutually distrustful parties to compute some function of their private inputs in a way that preserves security properties, even in the face of adversarial behavior by some of the parties. However, classical security definitions do not pose any privacy restrictions on the view of honest parties. Thus, if an attacker adversarially leaks private information to honest parties, it does not count as a violation of privacy. This is arguably undesirable, and in real-life scenarios, it is hard to imagine that possible users would agree to have their private information revealed, even if only to other honest parties. To address this issue, Alon et al. [CRYPTO 20] introduced the notion of security with friends and foes (FaF security). In essence, $(t,h)$-FaF security requires that a malicious adversary corrupting up to $t$ parties cannot help a coalition of $h$ semi-honest parties to learn anything beyond what they can learn from their inputs and outputs (combined with the input and outputs of the malicious parties). They further showed that $(t,h)$-FaF security with $n$ parties is achievable for any functionality if $2t+h<n$, and for some functionality, $(t,h)$-FaF security is impossible assuming $2t+h\geq n$. A remaining important open problem is to characterize the set of $n$-party functionalities that can be computed with $(t,h)$-FaF security assuming $2t+h\geq n$. In this paper, we focus on the special, yet already challenging, case of $(1,1)$-FaF security for three-party, 2-ary (two inputs), symmetric (all parties output the same value) functionalities. We provide several positive results, a lower bound on the round complexity, and an impossibility result. In particular, we prove the following. (1) we identify a large class of three-party Boolean symmetric 2-ary functionalities that can be computed with $(1,1)$-FaF full security, and (2) We identify a large class of three-party (possibly non-Boolean) symmetric 2-ary functionalities, for which no $O(\log\kappa)$-round protocol computes them with $(1,1)$-FaF full security. This matches the round complexity of our positive results for various interesting functionalities, such as equality of strings.

The Hybrid Public Key Encryption (HPKE) standard was recently published as RFC 9180 by the Crypto Forum Research Group (CFRG) of the Internet Research Task Force (IRTF). The RFC specifies an efficient public key encryption scheme, combining asymmetric and symmetric cryptographic building blocks. Out of HPKE’s four modes, two have already been formally analyzed by Alwen et al. (EUROCRYPT 2021). This work considers the remaining two modes: HPKE_PSK and HPKE_AuthPSK . Both of them are “pre-shared key” modes that assume the sender and receiver hold a symmetric pre-shared key. We capture the schemes with two new primitives which we call pre-shared key public-key encryption (pskPKE) and pre-shared key authenticated public-key encryption (pskAPKE). We provide formal security models for pskPKE and pskAPKE and prove (via general composition theorems) that the two modes HPKE_PSK and HPKE_AuthPSK offer active security (in the sense of insider privacy and outsider authenticity) under the Gap Diffie-Hellman assumption. We furthermore explore possible post-quantum secure instantiations of the HPKE standard and propose new solutions based on lattices and isogenies. Moreover, we show how HPKE’s basic HPKEPSK and HPKEAuthPSK modes can be used black-box in a simple way to build actively secure post-quantum/classic-hybrid (authenticated) encryption schemes. Our hybrid constructions provide a cheap and easy path towards a practical post-quantum secure drop-in replacement for the basic HPKE modes HPKE_Base and HPKE_Auth .

We outline a secure and efficient methodology to do threshold distributed decryption for LWE based Fully Homomorphic Encryption schemes. Due to the smaller parameters used in some FHE schemes, such as Torus-FHE (TFHE), the standard technique of ``noise flooding'' seems not to apply. We show that noise flooding can also be used with schemes with such small parameters, by utilizing a switch to a scheme with slightly higher parameters and then utilizing the efficient bootstrapping operations which TFHE offers. Our protocol is proved secure via a simulation argument, making its integration in bigger protocols easier to manage.

Given two KZG-committed polynomials $f(X),g(X)\in \mathbb{F}_{<n}[X]$, a matrix $M\in \mathbb{F}^{n\times n}$, and subgroup $H\subset \mathbb{F}^*$ of order $n$, we present a protocol for checking that $f|_{H}\cdot M = g|_{H}$. After preprocessing, the prover makes $O(n)$ field and group operations. This presents a significant improvement over the lincheck protocols in [CHMMVW, COS], where the prover's run-time (also after preprocessing) was quasilinear in the number of non-zeroes of $M$, which could be $n^2$.

Cryptographic voting protocols have recently seen much interest from practitioners due to their (planned) use in countries such as Estonia, Switzerland, France, and Australia. Practical protocols usually rely on tested designs such as the mixing-and-decryption paradigm. There, multiple servers verifiably shuffle encrypted ballots, which are then decrypted in a distributed manner. While several efficient protocols implementing this paradigm exist from discrete log-type assumptions, the situation is less clear for post-quantum alternatives such as lattices. This is because the design ideas of the discrete log-based voting protocols do not carry over easily to the lattice setting, due to specific problems such as noise growth and approximate relations. This work proposes a new verifiable secret shuffle for BGV ciphertexts and a compatible verifiable distributed decryption protocol. The shuffle is based on an extension of a shuffle of commitments to known values which is combined with an amortized proof of correct re-randomization. The verifiable distributed decryption protocol uses noise drowning, proving the correctness of decryption steps in zero-knowledge. Both primitives are then used to instantiate the mixing-and-decryption electronic voting paradigm from lattice-based assumptions. We give concrete parameters for our system, estimate the size of each component and provide implementations of all important sub-protocols. Our experiments show that the shuffle and decryption protocol is suitable for use in real-world e-voting schemes.

The promising field of homomorphic encryption enables functions to be evaluated on encrypted data and produce results that mimic the same computations done on plaintexts. It, therefore, comes as no surprise that many ventures at constructing homomorphic encryption schemes have come into the limelight in recent years. Most popular are those that rely on the hard lattice problem, called the Ring Learning with Errors problem (RLWE). One major limitation of these homomorphic encryption schemes is that in order to securely increase the maximum multiplicative depth, they need to increase the polynomial-size thereby also increasing the complexity of the design. We aim to bridge this gap by proposing a homomorphic encryption (HE) scheme based on the Module Learning with Errors problem (MLWE), ModHE that allows us to break the big computations into smaller ones. Given the popularity of module lattice-based post-quantum schemes, it is an evidently interesting research endeavor to also formulate module lattice-based homomorphic encryption schemes. While our proposed scheme is general, as a case study, we port the well-known RLWE-based CKKS scheme to the MLWE setting. The module version of the scheme completely stops the polynomial-size blowups when aiming for a greater circuit depth. Additionally, it presents greater opportunities for designing flexible, reusable, and parallelizable hardware architecture. A hardware implementation is provided to support our claims. We also acknowledge that as we try to decrease the complexity of computations, the amount of computations (such as relinearizations) increases. We hope that the potential and limitations of using such a hardware-friendly scheme will spark further research.

Over the past few years, homomorphic secret sharing (HSS) emerged as a compelling alternative to fully homomorphic encryption (FHE), due to its feasibility from an array of standard assumptions and its potential efficiency benefits. However, all known HSS schemes, with the exception of schemes built from FHE or indistinguishability obfuscation (iO), can only support two or four parties. In this work, we give the first construction of a multi-party HSS scheme for a non-trivial function class, from an assumption not known to imply FHE. In particular, we construct an HSS scheme for an arbitrary number of parties with an arbitrary corruption threshold, supporting evaluations of multivariate polynomials of degree $\log / \log \log$ over arbitrary finite fields. As a consequence, we obtain a secure multiparty computation (MPC) protocol for any number of parties, with (slightly) sub-linear per-party communication of roughly $O(S / \log \log S)$ bits when evaluating a layered Boolean circuit of size $S$. Our HSS scheme relies on the Sparse Learning Parity with Noise assumption, a standard variant of LPN with a sparse public matrix that has been studied and used in prior works. Thanks to this assumption, our construction enjoys several unique benefits. In particular, it can be built on top of any linear secret sharing scheme, producing noisy output shares that can be error-corrected by the decoder. This yields HSS for low-degree polynomials with optimal download rate. Unlike prior works, our scheme also has a low computation overhead in that the per-party computation of a constant degree polynomial takes $O(M)$ work, where $M$ is the number of monomials.

We provide a generic construction to turn any classical Zero-Knowledge (ZK) protocol into a composable (quantum) oblivious transfer (OT) protocol, mostly lifting the round-complexity properties and security guarantees (plain-model/statistical security/unstructured functions…) of the ZK protocol to the resulting OT protocol. Such a construction is unlikely to exist classically as Cryptomania is believed to be different from Minicrypt. In particular, by instantiating our construction using Non-Interactive ZK (NIZK), we provide the first round-optimal (2-message) quantum OT protocol secure in the random oracle model, and round-optimal extensions to string and k-out-of-n OT. At the heart of our construction lies a new method that allows us to prove properties on a received quantum state without revealing additional information on it, even in a non-interactive way, without public-key primitives, and/or with statistical guarantees when using an appropriate classical ZK protocol. We can notably prove that a state has been partially measured (with arbitrary constraints on the set of measured qubits), without revealing any additional information on this set. This notion can be seen as an analog of ZK to quantum states, and we expect it to be of independent interest as it extends complexity theory to quantum languages, as illustrated by the two new complexity classes we introduce, ZKstatesQIP and ZKstatesQMA.

Oblivious Pseudo-Random Functions (OPRFs) are a central tool for building modern protocols for authentication and distributed computation. For example, OPRFs enable simple login protocols that do not reveal the password to the provider, which helps to mitigate known shortcomings of password-based authentication such as password reuse or mix-up. Reliable treatment of passwords becomes more and more important as we login to a multitude of services with different passwords in our daily life. To ensure the security and privacy of such services in the long term, modern protocols should always consider the possibility of attackers with quantum computers. Therefore, recent research has focused on constructing post-quantum-secure OPRFs. Unfortunately, existing constructions either lack efficiency, or they are based on complex and relatively new cryptographic assumptions, some of which have lately been disproved. In this paper, we revisit the security and the efficiency of the well-known “OPRFs via Garbled Circuits” approach. Such an OPRF is presumably post-quantum-secure and built from well-understood primitives, namely symmetric cryptography and oblivious transfer. We investigate security in the strong Universal Composability model, which guarantees security even when multiple instances are executed in parallel and in conjunction with arbitrary other protocols, which is a realistic scenario in today’s internet. At the same time, it is faster than other current post-quantumsecure OPRFs. Our implementation and benchmarks demonstrate that our proposed OPRF is currently among the best choices if the privacy of the data has to be guaranteed for a long time.

Alon et al. (CRYPTO 2021) introduced a multiparty quantum computation protocol that is secure with identifiable abort (MPQC-SWIA). However, their protocol allows only inside MPQC parties to know the identity of malicious players. This becomes problematic when two groups of people disagree and need a third party, like a jury, to verify who the malicious party is. This issue takes on heightened significance in the quantum setting, given that quantum states may exist in only a single copy. Thus, we emphasize the necessity of a protocol with publicly verifiable identifiable abort (PVIA), enabling outside observers with only classical computational power to agree on the identity of the malicious party in case of an abort. However, achieving MPQC with PVIA poses significant challenges due to the no-cloning theorem, and previous works proposed by Mahadev (STOC 2018) and Chung et al. (Eurocrypt 2022) for classical verification of quantum computation fall short. In this paper, we obtain the first MPQC-PVIA protocol assuming post-quantum oblivious transfer and a classical broadcast channel. The core component of our construction is a new authentication primitive called auditable quantum authentication (AQA) that identifies the malicious sender with overwhelming probability. Additionally, we provide the first MPQC protocol with best-of-both-worlds (BoBW) security, which guarantees output delivery with an honest majority and remains secure with abort even if the majority is dishonest. Our best-of-both-worlds MPQC protocol also satisfies PVIA upon abort.

A zero-knowledge proof (ZKP) allows a party to prove to another party that it knows some secret, such as the solution to a difficult puzzle, without revealing any information about it. We propose a physical zero-knowledge proof using only a deck of playing cards for solutions to a pencil puzzle called \emph{Moon-or-Sun}. In this puzzle, one is given a grid of cells on which rooms, marked by thick black lines surrounding a connected set of cells, may contain a number of cells with a moon or a sun symbol. The goal is to find a loop passing through all rooms exactly once, and in each room either passes through all cells with a moon, or all cells with a sun symbol. Finally, whenever the loop passes from one room to another, it must go through all cells with a moon if in the previous room it passed through all cells with a sun, and visa-versa. This last rule constitutes the main challenge for finding a physical zero-knowledge proof for this puzzle, as this must be verified without giving away through which borders the loop enters or leaves a given room. We design a card-based zero-knowledge proof of knowledge protocol for Moon-or-Sun solutions, together with an analysis of their properties. Our technique of verifying the alternation of a pattern along a non-disclosed path might be of independent interest for similar puzzles.