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cs.CR2026
zkFuzz: Foundation and Framework for Effective Fuzzing of Zero-Knowledge Circuits
Hideaki Takahashi, Jihwan Kim, Suman Jana +1
Zero-knowledge (ZK) circuits enable privacy-preserving computations and are central to many cryptographic protocols. Systems like Circom simplify ZK development by combining witnes…
cs.CR2024
Comment on Revisiting Neural Program Smoothing for Fuzzing
Dongdong She, Kexin Pei, Junfeng Yang +2
MLFuzz, a work accepted at ACM FSE 2023, revisits the performance of a machine learning-based fuzzer, NEUZZ. We demonstrate that its main conclusion is entirely wrong due to severa…