4 papers
ProtoArena: Can AI Agents Discover and Exploit Real-World Cross-Component Protocol Vulnerabilities?
Fasheng Miao, Zhaoyu Hu, Xiang Li +5
Large language model (LLM) agents are increasingly used for vulnerability analysis, yet existing benchmarks provide limited coverage of exploitation that depends on interactions am…
Same Attack, Different Judge: A First Controlled Adversarial Comparison of Jev, LLM Judges, and Purpose-Built Safety Classifiers
Xiang Li, Aichun Huang, Mingming Zhang +1
TypeSafe AI's Jev is a new kind of safety judge. It generates no text and no label: it answers questions the developer defines in advance and returns a probability for each answer.…
When Talk Isn't Code: Comparing LLM Agents That Simulate and Develop Software
Xiang Li, Aichun Huang, Mingming Zhang +1
LLMs are used both to simulate network protocol implementations, as honeypots do, and to write them. Prior work evaluates the two uses separately, from a model's answers or convers…
A Survey of Operating System Kernel Fuzzing
Jiacheng Xu, He Sun, Shihao Jiang +8
The Operating System (OS) kernel is foundational in modern computing, especially with the proliferation of diverse computing devices. However, its development also comes with vulne…