4 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
Security patches for open-source software constitute a foundational resource for vulnerability remediation research and practice. However, analyzing and applying multiple patches r…
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…
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…
Enhancing Pre-Trained Language Models for Vulnerability Detection via Semantic-Preserving Data Augmentation
Weiliang Qi, Jiahao Cao, Darsh Poddar +2
With the rapid development and widespread use of advanced network systems, software vulnerabilities pose a significant threat to secure communications and networking. Learning-base…