3 papers
cs.SE2026
SF: Principled Hybrid Testing With Fuzzing, Symbolic Execution, and Sampling
Lianjing Wang, Yufeng Zhang, Kenli Li +5
Hybrid testing that integrates fuzzing, symbolic execution, and sampling has demonstrated superior testing efficiency compared to individual techniques. However, the state-of-the-a…
cs.SE2025
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…
cs.CR2025
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…