4 papers
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…
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…
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…
On Coupled Dirac Systems under Boundary Condition
Xu Yang, Xin Li
In this article we study the existence of solutions for the Dirac systems \begin{equation}\label{e:0.1} \left\{ \begin{array}{c} Pu=\frac{\partial H}{\partial v}(x,u,v) \quad\hbox{…