16 citations · 16 across the 2 of their papers we have counts for
2 papers
cs.CR2023★ 16 cited
Augmenting Greybox Fuzzing with Generative AI
Jie Hu, Qian Zhang, Heng Yin
Real-world programs expecting structured inputs often has a format-parsing stage gating the deeper program space. Neither a mutation-based approach nor a generative approach can pr…
cs.SE2021
Evolutionary Mutation-based Fuzzing as Monte Carlo Tree Search
Yiru Zhao, Xiaoke Wang, Lei Zhao +2
Coverage-based greybox fuzzing (CGF) has been approved to be effective in finding security vulnerabilities. Seed scheduling, the process of selecting an input as the seed from the…