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conference paper

IOPs with Inverse Polynomial Soundness Error

Arnon, Gal
•
Chiesa, Alessandro  
•
Yogev, Eylon
January 1, 2023
2023 Ieee 64Th Annual Symposium On Foundations Of Computer Science, Focs
64th Annual IEEE Symposium on the Foundations of Computer Science (FOCS)

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 smallquery 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 - delta, O(rho(1/4))} for delta-far functions, round complexity O(log log d), proof length O(vertical bar L vertical bar/rho) over F, and query complexity O(log log d); here rho = (d+ 1)/vertical bar L vertical bar 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 rho = 1/poly(n) and distance delta = 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.

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Type
conference paper
DOI
10.1109/FOCS57990.2023.00050
Web of Science ID

WOS:001137125900044

Author(s)
Arnon, Gal
Chiesa, Alessandro  
Yogev, Eylon
Date Issued

2023-01-01

Publisher

Ieee Computer Soc

Publisher place

Los Alamitos

Published in
2023 Ieee 64Th Annual Symposium On Foundations Of Computer Science, Focs
ISBN of the book

979-8-3503-1894-4

Start page

752

End page

761

Subjects

Pcps

•

Hardness

•

Proofs

Editorial or Peer reviewed

REVIEWED

Written at

EPFL

EPFL units
COMPSEC  
Event nameEvent placeEvent date
64th Annual IEEE Symposium on the Foundations of Computer Science (FOCS)

Santa Cruz, CA

NOV 06-09, 2023

FunderGrant Number

Israel Science Foundation

2302/22

Simons Foundation Collaboration on the Theory of Algorithmic Fairness

Israeli Council for Higher Education (CHE) via the Weizmann Data Science Research Center

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Available on Infoscience
February 23, 2024
Use this identifier to reference this record
https://infoscience.epfl.ch/handle/20.500.14299/205252
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