2 citations · 3 across the 5 of their papers we have counts for
5 papers
Hunting Vulnerability Variants in AI Infra: Measurement and Reference-Driven Detection
Tian Dong, Yanjun Chen, Shoufeng Zhang +6
AI infra has become a shared execution layer for model training, deployment, and agent orchestration. Because many projects reimplement similar model-centric workflows, a vulnerabi…
FuzzAgent: Multi-Agent System for End-to-End Evolutionary Library Fuzzing
Yunlong Lyu, Peng Chen, Fengyi Wu +3
Library fuzzing synthesizes harnesses that expose new API interactions, but deploying it end to end still requires extensive project-specific integration. Existing LLM-based system…
"Tab, Tab, Bug": Security Pitfalls of Next Edit Suggestions in AI-Integrated IDEs
Yunlong Lyu, Yixuan Tang, Peng Chen +4
Modern AI-integrated IDEs are shifting from passive code completion to proactive Next Edit Suggestions (NES). Unlike traditional autocompletion, NES is designed to construct a rich…
Prompt Fuzzing for Fuzz Driver Generation
Yunlong Lyu, Yuxuan Xie, Peng Chen +1
Crafting high-quality fuzz drivers not only is time-consuming but also requires a deep understanding of the library. However, the state-of-the-art automatic fuzz driver generation…
HOPPER: Interpretative Fuzzing for Libraries
Peng Chen, Yuxuan Xie, Yunlong Lyu +2
Despite the fact that the state-of-the-art fuzzers can generate inputs efficiently, existing fuzz drivers still cannot adequately cover entries in libraries. Most of these fuzz dri…