45 citations · 48 across the 4 of their papers we have counts for
4 papers
SoK: Automated Vulnerability Repair: Methods, Tools, and Assessments
Yiwei Hu, Zhen Li, Kedie Shu +5
The increasing complexity of software has led to the steady growth of vulnerabilities. Vulnerability repair investigates how to fix software vulnerabilities. Manual vulnerability r…
On the Effectiveness of Function-Level Vulnerability Detectors for Inter-Procedural Vulnerabilities
Zhen Li, Ning Wang, Deqing Zou +5
Software vulnerabilities are a major cyber threat and it is important to detect them. One important approach to detecting vulnerabilities is to use deep learning while treating a p…
RoPGen: Towards Robust Code Authorship Attribution via Automatic Coding Style Transformation
Zhen Li, Guenevere, Chen +3
Source code authorship attribution is an important problem often encountered in applications such as software forensics, bug fixing, and software quality analysis. Recent studies s…
Towards Making Deep Learning-based Vulnerability Detectors Robust
Zhen Li, Jing Tang, Deqing Zou +5
Automatically detecting software vulnerabilities in source code is an important problem that has attracted much attention. In particular, deep learning-based vulnerability detector…