SNARGs for from LWE
Arka Rai Choudhuri, Abhishek Jain, Zhengzhong Jin
摘要
We provide the first construction of a succinct non-interactive argument (SNARG) for all polynomial time deterministic computations based on standard assumptions. Forsteps of computation, the size of the proof and the common random string (CRS) as well as the verification time are poly-logarithmic in. 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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