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REPORTS > AUTHORS > INBAR KASLASI:
All reports by Author Inbar Kaslasi:

TR21-029 | 1st March 2021
Inbar Kaslasi, Ron Rothblum, Prashant Nalini Vasudevan

Public-Coin Statistical Zero-Knowledge Batch Verification against Malicious Verifiers

Suppose that a problem $\Pi$ has a statistical zero-knowledge (SZK) proof with communication complexity $m$. The question of batch verification for SZK asks whether one can prove that $k$ instances $x_1,\ldots,x_k$ all belong to $\Pi$ with a statistical zero-knowledge proof whose communication complexity is better than $k \cdot m$ (which ... more >>>


TR20-147 | 24th September 2020
Inbar Kaslasi, Prashant Nalini Vasudevan, Guy Rothblum, Ron Rothblum, Adam Sealfon

Batch Verification for Statistical Zero Knowledge Proofs

Revisions: 1

A statistical zero-knowledge proof (SZK) for a problem $\Pi$ enables a computationally unbounded prover to convince a polynomial-time verifier that $x \in \Pi$ without revealing any additional information about $x$ to the verifier, in a strong information-theoretic sense.

Suppose, however, that the prover wishes to convince the verifier that $k$ ... more >>>




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