From the 1 of 6 linked papers with an AI index.
6 papers
Why Not Fix It Once and for All? An Empirical Study of Multiple Patches for Vulnerability Fixes in Open-Source Software
Weiliang Qi, Youpeng Li, Xinda Wang
The paper empirically investigates cases where fixing a vulnerability in open‑source software requires multiple patches, presenting a taxonomy of their causes, comparing them to si…
VULPO: Context-Aware Vulnerability Detection via On-Policy LLM Optimization
Youpeng Li, Fuxun Yu, Weiliang Qi +1
Large language models (LLMs) have recently shown strong potential in vulnerability detection (VD). However, accurately detecting vulnerabilities in real-world repositories requires…
From SFT to RL: Demystifying the Post-Training Pipeline for LLM-based Vulnerability Detection
Youpeng Li, Fuxun Yu, Xinda Wang
The integration of LLMs into vulnerability detection (VD) has shifted the field toward more interpretable and context-aware analysis. While post-training techniques have shown prom…
Revisiting Pre-trained Language Models for Vulnerability Detection
Youpeng Li, Weiliang Qi, Xuyu Wang +2
The rapid advancement of pre-trained language models (PLMs) has demonstrated promising results for various code-related tasks. However, their effectiveness in detecting real-world…
NatGVD: Natural Adversarial Example Attack towards Graph-based Vulnerability Detection
Avilash Rath, Weiliang Qi, Youpeng Li +1
Graph-based models learn rich code graph structural information and present superior performance on various code analysis tasks. However, the robustness of these models against adv…
MAVUL: Multi-Agent Vulnerability Detection via Contextual Reasoning and Interactive Refinement
Youpeng Li, Kartik Joshi, Xinda Wang +1
The widespread adoption of open-source software (OSS) necessitates the mitigation of vulnerability risks. Most vulnerability detection (VD) methods are limited by inadequate contex…