SNARGs for P from Sub-exponential DDH and QR
James Hulett, Ruta Jawale, Dakshita Khurana, Akshayaram Srinivasan
2022年份
41被引次数
7顶会引用
摘要
We obtain publicly verifiable Succinct Non-Interactive Arguments (SNARGs) for arbitrary deterministic computations and bounded space non-deterministic computation from standard group-based assumptions, without relying on pairings. In particular, assuming the sub-exponential hardness of both the Decisional Diffie-Hellman (DDH) and Quadratic Residuosity (QR) assumptions, we obtain the following results, where denotes the length of the instance:
- A SNARG for any language that can be decided in non-deterministic time and space with communication complexity and verifier runtime .
- A SNARG for any language that can be decided in deterministic time with communication complexity and verifier runtime .
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- Correlation Intractability and SNARGs from Sub-exponential DDHArka Rai Choudhuri, Sanjam Garg, Abhishek Jain, Zhengzhong Jin 等CRYPTO 2023 · 被引用 49 次
- Boosting Batch Arguments and RAM DelegationYael Kalai, Alex Lombardi, Vinod Vaikuntanathan, Daniel WichsSTOC 2023 · 被引用 42 次
- A New Approach for Non-Interactive Zero-Knowledge from Learning with ErrorsBrent WatersSTOC 2024 · 被引用 13 次
- Batch Proofs Are Statistically HidingNir Bitansky, Chethan Kamath, Omer Paneth, Ron D. Rothblum 等STOC 2024 · 被引用 11 次
- Non-interactive Zero-Knowledge from Non-interactive Batch ArgumentsJeffrey Champion, David J. WuCRYPTO 2023 · 被引用 9 次
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