zkSaaS: Zero-Knowledge SNARKs as a Service
Sanjam Garg, Aarushi Goel, Abhishek Jain, Guru-Vamsi Policharla, Sruthi Sekar
摘要
A decade of active research has led to practical constructions of zero-knowledge succinct noninteractive arguments of knowledge (zk-SNARKs) that are now being used in a wide variety of applications. Despite this astonishing progress, overheads in proof generation time remain significant. In this work, we envision a world where consumers with low computational resources can outsource the task of proof generation to a group of untrusted servers in a privacy-preserving manner. The main requirement is that these servers should be able to collectively generate proofs at a faster speed (than the consumer). Towards this goal, we introduce a framework called zk-SNARKs-as-aservice (zkSaaS) for faster computation of zk-SNARKs. Our framework allows for distributing proof computation across multiple servers such that each server is expected to run for a shorter duration than a single prover. Moreover, the privacy of the prover's witness is ensured against any minority of colluding servers. We design custom protocols in this framework that can be used to obtain faster runtimes for widely used zk-SNARKs, such as Groth16 [EUROCRYPT 2016], Marlin [EUROCRYPT 2020] and Plonk [EPRINT 2019]. We implement proof of concept zkSaaS for the Groth16 and Plonk provers. In comparison to generating these proofs on commodity hardware, we show that not only can we generate proofs for a larger number of constraints (without memory exhaustion), but can also get ≈ 22× speed-up when run with 128 parties for 2 25 constraints with Groth16 and 2 21 gates with Plonk.
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引用它的顶会 Paper3
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- Trust Nobody: Privacy-Preserving Proofs for Edited Photos with Your LaptopPierpaolo Della Monica, Ivan Visconti, Andrea Vitaletti, Marco ZecchiniS&P 2025
- Prezta: Provable Remote Execution of Zero-Trust Authorization using SNARKsZhongjing Wei, Osaid Muhammad Ameer, Yupeng Zhang, Nikita BorisovUSENIX Security 2026
它引用的顶会 Paper28
- Bulletproofs: Short Proofs for Confidential Transactions and MoreBenedikt Bünz, Jonathan Bootle, Dan Boneh, Andrew Poelstra 等S&P 2018 · 被引用 1,285 次
- Doubly-Efficient zkSNARKs Without Trusted SetupRiad S. Wahby, Ioanna Tzialla, Abhi Shelat, Justin Thaler 等S&P 2018 · 被引用 356 次
- Marlin: Preprocessing zkSNARKs with Universal and Updatable SRSAlessandro Chiesa, Yuncong Hu, Mary Maller, Pratyush Mishra 等EUROCRYPT 2020 · 被引用 356 次
- Arbitrum: Scalable, private smart contractsHarry A. Kalodner, Steven Goldfeder, Xiaoqi Chen, S. Matthew Weinberg 等USENIX Security 2018 · 被引用 353 次
- ZEXE: Enabling Decentralized Private ComputationSean Bowe, Alessandro Chiesa, Matthew Green, Ian Miers 等S&P 2020 · 被引用 257 次
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