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Electronic Colloquium on Computational Complexity

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Reports tagged with Statistical Zero-Knowledge Proofs:
TR99-013 | 28th May 1999
Oded Goldreich, Amit Sahai, Salil Vadhan

Can Statistical Zero Knowledge be made Non-Interactive? or On the Relationship of SZK and NISZK

We extend the study of non-interactive statistical zero-knowledge
proofs. Our main focus is to compare the class NISZK of problems
possessing such non-interactive proofs to the class SZK of problems
possessing interactive statistical zero-knowledge proofs. Along these
lines, we first show that if statistical zero knowledge is non-trivial
then so ... more >>>

TR00-084 | 6th November 2000
Salil Vadhan, Amit Sahai

A Complete Problem for Statistical Zero Knowledge

We present the first complete problem for SZK, the class of (promise)
problems possessing statistical zero-knowledge proofs (against an
honest verifier). The problem, called STATISTICAL DIFFERENCE, is to
decide whether two efficiently samplable distributions are either
statistically close or far apart. This gives a new characterization
of SZK that makes ... more >>>

TR16-140 | 9th September 2016
Adam Bouland, Lijie Chen, Dhiraj Holden, Justin Thaler, Prashant Nalini Vasudevan

On SZK and PP

Revisions: 3

In both query and communication complexity, we give separations between the class NISZK, containing those problems with non-interactive statistical zero knowledge proof systems, and the class UPP, containing those problems with randomized algorithms with unbounded error. These results significantly improve on earlier query separations of Vereschagin [Ver95] and Aaronson [Aar12] ... more >>>

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