Zero Knowledge Static Program Analysis
Zhiyong Fang, David Darais, Joseph P. Near, Yupeng Zhang
摘要
Static program analysis tools can automatically prove many useful properties of programs. However, using static analysis to prove to a third party that a program satisfies a property requires revealing the program's source code. We introduce the concept of zero-knowledge static analysis, in which the prover constructs a zero-knowledge proof about the outcome of the static analysis without revealing the program. We present novel zero-knowledge proof schemes for intra- and inter-procedural abstract interpretation. Our schemes are significantly more efficient than the naive translation of the corresponding static analysis algorithms using existing schemes. We evaluate our approach empirically on real and synthetic programs; with a pairing-based zero knowledge proof scheme as the backend, we are able to prove the control flow analysis on a 2,000-line program in 1,738s. The proof is only 128 bytes and the verification time is 1.4ms. With a transparent zero knowledge proof scheme based on discrete-log, we generate the proof for the tainting analysis on a 12,800-line program in 406 seconds, the proof size is 282 kilobytes, and the verification time is 66 seconds.
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引用它的顶会 Paper9
- Orion: Zero Knowledge Proof with Linear Prover TimeTiancheng Xie, Yupeng Zhang, Dawn SongCRYPTO 2022 · 被引用 83 次
- Pianist: Scalable zkRollups via Fully Distributed Zero-Knowledge ProofsTianyi Liu, Tiancheng Xie, Jiaheng Zhang, Dawn Song 等S&P 2024 · 被引用 52 次
- Scalable Zero-knowledge Proofs for Non-linear Functions in Machine LearningMeng Hao, Hanxiao Chen, Hongwei Li, Chenkai Weng 等USENIX Security 2024 · 被引用 29 次
- Accelerating Zero-Knowledge Proofs Through Hardware-Algorithm Co-DesignNikola Samardzic, Simon Langowski, Srinivas Devadas, Daniel SánchezMICRO 2024 · 被引用 24 次
- Cheesecloth: Zero-Knowledge Proofs of Real World VulnerabilitiesSantiago Cuéllar, Bill Harris, James Parker, Stuart Pernsteiner 等USENIX Security 2023
它引用的顶会 Paper12
- Spectre Attacks: Exploiting Speculative ExecutionPaul Kocher, Jann Horn, Anders Fogh, Daniel Genkin 等S&P 2019 · 被引用 2,435 次
- Meltdown: Reading Kernel Memory from User SpaceMoritz Lipp, Michael Schwarz, Daniel Gruss, Thomas Prescher 等USENIX Security 2018 · 被引用 1,456 次
- Sonic: Zero-Knowledge SNARKs from Linear-Size Universal and Updatable Structured Reference StringsMary Maller, Sean Bowe, Markulf Kohlweiss, Sarah MeiklejohnCCS 2019 · 被引用 412 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
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