PublicationsAdaptively-Sound Succinct Arguments for NP from Indistinguishability ObfuscationBrent Waters and David J. Wu Annual ACM Symposium on Theory of Computing (STOC), 2024 Resources
Abstract
A succinct non-interactive argument (SNARG) for \( \mathsf{NP} \) allows a prover to convince a verifier that an \( \mathsf{NP} \) statement \( x \) is true with a proof of size \( o(|x| + |w|) \), where \( w \) is the associated \( \mathsf{NP} \) 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 \( \mathsf{NP} \) 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 \( \mathsf{NP} \) from falsifiable assumptions. All previous SNARGs for \( \mathsf{NP} \) 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). BibTeX
@inproceedings{WW24, author = {Brent Waters and David J. Wu}, title = {Adaptively-Sound Succinct Arguments for {NP} from Indistinguishability Obfuscation}, booktitle = {{STOC}}, year = {2024} } |