30 citations · 31 across the 5 of their papers we have counts for
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cs.CR2024★ 1 cited
INSTILLER: Towards Efficient and Realistic RTL Fuzzing
Gen Zhang, Pengfei Wang, Tai Yue +3
Bugs exist in hardware, such as CPU. Unlike software bugs, these hardware bugs need to be detected before deployment. Previous fuzzing work in CPU bug detection has several disadva…
cs.CR2024★ 30 cited
MobFuzz: Adaptive Multi-objective Optimization in Gray-box Fuzzing
Gen Zhang, Pengfei Wang, Tai Yue +4
Coverage-guided gray-box fuzzing (CGF) is an efficient software testing technique. There are usually multiple objectives to optimize in CGF. However, existing CGF methods cannot su…
cs.CR2023
HyperGo: Probability-based Directed Hybrid Fuzzing
Peihong Lin, Pengfei Wang, Xu Zhou +3
Directed grey-box fuzzing (DGF) is a target-guided fuzzing intended for testing specific targets (e.g., the potential buggy code). Despite numerous techniques proposed to enhance d…