3 papers
cs.SE2025
One-for-All Does Not Work! Enhancing Vulnerability Detection by Mixture-of-Experts (MoE)
Xu Yang, Shaowei Wang, Jiayuan Zhou +1
Deep Learning-based Vulnerability Detection (DLVD) techniques have garnered significant interest due to their ability to automatically learn vulnerability patterns from previously…
cs.SE2025
Code Change Intention, Development Artifact and History Vulnerability: Putting Them Together for Vulnerability Fix Detection by LLM
Xu Yang, Wenhan Zhu, Michael Pacheco +4
Detecting vulnerability fix commits in open-source software is crucial for maintaining software security. To help OSS identify vulnerability fix commits, several automated approach…
cs.SE2024
VFDelta: A Framework for Detecting Silent Vulnerability Fixes by Enhancing Code Change Learning
Xu Yang, Shaowei Wang, Jiayuan Zhou +1
Vulnerability fixes in open source software (OSS) usually follow the coordinated vulnerability disclosure model and are silently fixed. This delay can expose OSS users to risks as…