Paper 2023/099 Original: eprint.iacr.org/2023/099 ↗

Scalable Multiparty Garbling

Gabrielle Beck
Aarushi Goel
Aditya Hegde
Abhishek Jain
Zhengzhong Jin
Gabriel Kaptchuk
Abstract

Multiparty garbling is the most popular approach for constant-round secure multiparty computation (MPC). Despite being the focus of significant research effort, instantiating prior approaches to multiparty garbling results in constant-round MPC that can not realistically accommodate large numbers of parties. In this work we present the first global-scale multiparty garbling protocol. The per-party communication complexity of our protocol decreases as the number of parties participating in the protocol increases --- for the first time matching the asymptotic communication complexity of non-constant round MPC protocols. Our protocol achieves malicious security in the honest-majority setting and relies on the hardness of the Learning Party with Noise assumption.

Metadata
Available format(s)
PDF
Category
Cryptographic protocols
Publication info
Preprint.
History
2023-09-03: last updated
2023-01-26: published
Short URL
https://ia.cr/2023/099
License
https://creativecommons.org/licenses/by/4.0/

BibTeX

@misc{cryptoeprint:2023/099,
      author = {Gabrielle Beck and Aarushi Goel and Aditya Hegde and Abhishek Jain and Zhengzhong Jin and Gabriel Kaptchuk},
      title = {Scalable Multiparty Garbling},
      howpublished = {Cryptology {ePrint} Archive, Paper 2023/099},
      year = {2023},
      url = {https://eprint.iacr.org/2023/099}
}
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