Deep Learning-based Vulnerability Detection

2018

• VulDeePecker: A Deep Learning-Based System for Vulnerability Detection [NDSS] [paper]

• Automated Vulnerability Detection in Source Code Using Deep Representation Learning [ICML] [paper]

• Cross-Project Transfer Representation Learning for Vulnerable Function Discovery [TII] [paper]

2019

• Machine-learning supported vulnerability detection in source code [FSE] [paper]

• Deep Learning-Based Vulnerable Function Detection: A Benchmark [ICICS] [paper]

• Devign: Effective vulnerability identification by learning comprehensive program semantics via graph neural networks [NIPS] [paper]

• Software Vulnerability Discovery via Learning Multi-domain Knowledge Bases [TDSC] [paper]

2020

• Deep Learning based Vulnerability Detection:Are We There Yet? [TSE] [paper]

2021

• Combining Graph-based Learning with Automated Data Collection for Code Vulnerability Detection [TIFS] [paper]

• µVulDeePecker: A Deep Learning-Based System for Multiclass Vulnerability Detection [TDSC] [paper]

• SySeVR: A Framework for Using Deep Learning to Detect Software Vulnerabilities [TDSC] [paper]

• VulDeeLocator: A Deep Learning-based Fine-grained Vulnerability Detector [TDSC] [paper]

• AutoVAS: An Automated Vulnerability Analysis System with a Deep Learning Approach [Computers & Security] [paper]