30 citations · 31 across the 3 of their papers we have counts for
5 papers
DeepGo: Predictive Directed Greybox Fuzzing
Peihong Lin, Pengfei Wang, Xu Zhou +3
The state-of-the-art DGF techniques redefine and optimize the fitness metric to reach the target sites precisely and quickly. However, optimizations for fitness metrics are mainly…
ASC-Hook: fast and transparent system call hook for Arm
Yang Shen, Min Xie, Wenzhe Zhang +1
Intercepting system calls is crucial for tools that aim to modify or monitor application behavior. However, existing system call interception tools on the ARM platform still suffer…
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…
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…
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…