Adaptively-Sound Succinct Arguments for NP from Indistinguishability Obfuscation
Brent Waters, David J. Wu
摘要
A succinct non-interactive argument (SNARG) for NP allows a prover to convince a verifier that an NP statement 𝑥 is true with a proof of size 𝑜 (|𝑥 | + |𝑤 |), where 𝑤 is the associated NP witness. A SNARG satisfies adaptive soundness if the malicious prover can choose the statement to prove after seeing the scheme parameters. In this work, we provide the first adaptively-sound SNARG for NP in the plain model assuming sub-exponentially-hard indistinguishability obfuscation, sub-exponentially-hard one-way functions, and either the (polynomial) hardness of the discrete log assumption or the (polynomial) hardness of factoring. This gives the first adaptively-sound SNARG for NP from falsifiable assumptions. All previous SNARGs for NP in the plain model either relied on non-falsifiable cryptographic assumptions or satisfied a weak notion of non-adaptive soundness (where the adversary has to choose the statement it proves before seeing the scheme parameters).
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引用它的顶会 Paper2
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