IOPs with Inverse Polynomial Soundness Error

Gal Arnon, Alessandro Chiesa, Eylon Yogev

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

3 Scopus citations

Abstract

We show that every language in NP has an Interactive Oracle Proof (IOP) with inverse polynomial soundness error and small query complexity. This achieves parameters that surpass all previously known PCPs and IOPs. Specifically, we construct an IOP with perfect completeness, soundness error 1/n, round complexity O(log log n), proof length poly (n) over an alphabet of size O(n), and query complexity O(log log n). This is a step forward in the quest to establish the sliding-scale conjecture for IOPs (which would additionally require query complexity O(1)). Our main technical contribution is a high-soundness small-query proximity test for the Reed-Solomon code. We construct an IOP of proximity for Reed-Solomon codes, over a field F with evaluation domain L and degree d, with perfect completeness, soundness error (roughly) max {1-Δ, O(ρ1/4)} for Δ-far functions, round complexity O(log log d), proof length O(|L|/ρ) over F, and query complexity O(log log d); here ρ=(d+1) /|L| is the code rate. En route, we obtain a new high-soundness proximity test for bivariate Reed-Muller codes.The IOP for NP is then obtained via a high-soundness reduction from NP to Reed-Solomon proximity testing with rate ρ=1/poly(n) and distance Δ=1-1/poly(n) (and applying our proximity test). Our constructions are direct and efficient, and hold the potential for practical realizations that would improve the state-of-the-art in real-world applications of IOPs.

Original languageEnglish
Title of host publicationProceedings - 2023 IEEE 64th Annual Symposium on Foundations of Computer Science, FOCS 2023
PublisherIEEE Computer Society
Pages752-761
Number of pages10
ISBN (Electronic)9798350318944
DOIs
StatePublished - 2023
Event64th IEEE Annual Symposium on Foundations of Computer Science, FOCS 2023 - Santa Cruz, United States
Duration: 6 Nov 20239 Nov 2023

Publication series

NameProceedings - Annual IEEE Symposium on Foundations of Computer Science, FOCS
ISSN (Print)0272-5428

Conference

Conference64th IEEE Annual Symposium on Foundations of Computer Science, FOCS 2023
Country/TerritoryUnited States
CitySanta Cruz
Period6/11/239/11/23

Bibliographical note

Publisher Copyright:
© 2023 IEEE.

Funding

For the full version of this extended abstract, see [1]. Gal Arnon is supported in part by a grant from the Israel Science Foundation (Grant No. 2686/20), by the Simons Foundation Collaboration on the Theory of Algorithmic Fairness, and by the Israeli Council for Higher Education (CHE) via the Weizmann Data Science Research Center. Alessandro Chiesa is supported in part by the Ethereum Foundation. Eylon Yogev is supported by an Alon Young Faculty Fellowship, by the Israel Science Foundation (Grant No. 2302/22), and by the BIU Center for Research in Applied Cryptography and Cyber Security in conjunction with the Israel National Cyber Bureau in the Prime Minister’s Office.

FundersFunder number
Alon Young Faculty Fellowship2302/22
Simons Foundation Collaboration on the Theory of Algorithmic Fairness
Weizmann Data Science Research Center
Israel Science Foundation2686/20
Council for Higher Education
Ethereum Foundation

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