Doubly Sub-Linear Interactive Proofs of Proximity

We initiate a study of doubly-efficient interactive proofs of proximity, while focusing on properties that can be tested within query-complexity that is significantly sub-linear, and seeking interactive proofs of proximity in which 1) The query-complexity of verification is significantly smaller than the query-complexity of testing. 2) The query-complexity of the honest prover strategy is not much larger than the query-complexity of testing. We call such proof systems doubly-sublinear IPPs (dsIPPs). We present a few doubly-sublinear IPPs. A salient feature of these IPPs is that the honest prover does not employ an optimal strategy (i.e. a strategy that maximizes the verifier’s acceptance probability). In particular, the honest prover in our IPP for sets recognizable by constant-width read-once oblivious branching programs uses a distance-approximator for such sets.

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Publication Details

Journal
DROPS (Schloss Dagstuhl – Leibniz Center for Informatics)
Published
2025-01-01
DOI
https://doi.org/10.4230/lipics.itcs.2025.6
Primary Topic
Complexity and Algorithms in Graphs
Type
article
Field-Weighted Citation Impact
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article

Doubly Sub-Linear Interactive Proofs of Proximity

DROPS (Schloss Dagstuhl – Leibniz Center for Informatics)
Complexity and Algorithms in Graphs
article

Doubly Sub-Linear Interactive Proofs of Proximity

article en

Abstract

We initiate a study of doubly-efficient interactive proofs of proximity, while focusing on properties that can be tested within query-complexity that is significantly sub-linear, and seeking interactive proofs of proximity in which 1) The query-complexity of verification is significantly smaller than the query-complexity of testing. 2) The query-complexity of the honest prover strategy is not much larger than the query-complexity of testing. We call such proof systems doubly-sublinear IPPs (dsIPPs). We present a few doubly-sublinear IPPs. A salient feature of these IPPs is that the honest prover does not employ an optimal strategy (i.e. a strategy that maximizes the verifier’s acceptance probability). In particular, the honest prover in our IPP for sets recognizable by constant-width read-once oblivious branching programs uses a distance-approximator for such sets.

DROPS (Schloss Dagstuhl – Leibniz Center for Informatics)
Apple (United States) (US), Weizmann Institute of Science (IL)
Openalex Percentile: Top 50%
Complexity and Algorithms in Graphs
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