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Doubly-Efficient Batch Verification in Statistical Zero-Knowledge

Or Keret, Ron D. Rothblum, Prashant Nalini Vasudevan

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

Abstract

A sequence of recent works, concluding with Mu et al. (Eurocrypt, 2024) has shown that every problem Π admitting a non-interactive statistical zero-knowledge proof (NISZK) has an efficient zero-knowledge batch verification protocol. Namely, an NISZK protocol for proving that x1,⋯,xk∈Π with communication that only scales poly-logarithmically with k. A caveat of this line of work is that the prover runs in exponential-time, whereas for NP problems it is natural to hope to obtain a doubly-efficient proof – that is, a prover that runs in polynomial-time given the kNP witnesses.    In this work we show that every problem in NISZK∩UP has a doubly-efficient interactive statistical zero-knowledge proof with communication poly(n,log(k)) and poly(log(k),log(n)) rounds. The prover runs in time poly(n,k) given access to the kUP witnesses. Here n denotes the length of each individual input, and UP is the subclass of NP relations in which YES instances have unique witnesses.    This result yields doubly-efficient statistical zero-knowledge batch verification protocols for a variety of concrete and central cryptographic problems from the literature.

Original languageEnglish
Title of host publicationTheory of Cryptography - 22nd International Conference, TCC 2024, Proceedings
EditorsElette Boyle, Mohammad Mahmoody
PublisherSpringer Science and Business Media Deutschland GmbH
Pages371-398
Number of pages28
ISBN (Print)9783031780165
DOIs
StatePublished - 2025
Event22nd Theory of Cryptography Conference, TCC 2024 - Milan, Italy
Duration: 2 Dec 20246 Dec 2024

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume15365 LNCS

Conference

Conference22nd Theory of Cryptography Conference, TCC 2024
Country/TerritoryItaly
CityMilan
Period2/12/246/12/24

All Science Journal Classification (ASJC) codes

  • Theoretical Computer Science
  • General Computer Science

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