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SNARGs for P\mathcal{P} from LWE

Arka Rai Choudhuri, Abhishek Jain, Zhengzhong Jin

2021Year
62Citations
8Top-tier citations

Abstract

We provide the first construction of a succinct non-interactive argument (SNARG) for all polynomial time deterministic computations based on standard assumptions. ForTTsteps of computation, the size of the proof and the common random string (CRS) as well as the verification time are poly-logarithmic inTT. The security of our scheme relies on the hardness of the Learning with Errors (LWE) problem against polynomial-time adversaries. Previously, SNARGs based on standard assumptions could support bounded-depth computations and required sub-exponential hardness assumptions [Jawale-Kalai-Khurana-Zhang, STOC'21]. Along the way, we also provide the first construction of non-interactive batch arguments for N P based solely on the LWE assumption.

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