Non-interactive proofs of proximity [extended abstract]

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

Abstract

We initiate a study of non-interactive proofs of proximity. These proof-systems consist of a verifier that wishes to ascertain the validity of a given statement, using a short (sublinear length) explicitly given proof, and a sublinear number of queries to its input. Since the verifier cannot even read the entire input, we only require it to reject inputs that are far from being valid. Thus, the verifier is only assured of the proximity of the statement to a correct one. Such proofsystems can be viewed as the NP (or more accurately MA) analogue of property testing. We explore both the power and limitations of non interactive proofs of proximity. We show that such proof-systems can be exponentially stronger than property testers, but are exponentially weaker than the interactive proofs of proximity studied by Rothblum, Vadhan and Wigderson (STOC 2013). In addition, we show a natural problem that has a full and (almost) tight multiplicative trade-off between the length of the proof and the verifier's query complexity. On the negative side, we also show that there exist properties for which even a linearly-long (non-interactive) proof of proximity cannot significantly reduce the query complexity.

Original languageEnglish
Title of host publicationITCS 2015 - Proceedings of the 6th Innovations in Theoretical Computer Science
Pages133-142
Number of pages10
ISBN (Electronic)9781450333337
DOIs
StatePublished - 11 Jan 2015
Externally publishedYes
Event6th Conference on Innovations in Theoretical Computer Science, ITCS 2015 - Rehovot, Israel
Duration: 11 Jan 201513 Jan 2015

Publication series

NameITCS 2015 - Proceedings of the 6th Innovations in Theoretical Computer Science

Conference

Conference6th Conference on Innovations in Theoretical Computer Science, ITCS 2015
Country/TerritoryIsrael
CityRehovot
Period11/01/1513/01/15

Keywords

  • Probabilistic proof systems
  • Property testing

All Science Journal Classification (ASJC) codes

  • Computational Theory and Mathematics

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