A curated list of research resources in automated vulnerability detection (AVD)
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Empirical Studies
- A Comparative Study of Deep Learning-Based Vulnerability Detection System2019
- A Comparative Study of Neural Network Techniques for Automatic Software Vulnerability Detection2020
- A Comparative Study of Static Code Analysis tools for Vulnerability Detection in C/C++ and JAVA Source Code2020
- An Empirical Study of Deep Learning Models for Vulnerability Detection2023
- An empirical study on the effectiveness of static C code analyzers for vulnerability detection - Proceedings of the 31st ACM SIGSOFT International Symposium on Software Testing and Analysis2022
Proceedings of the 31st ACM SIGSOFT International Symposium on Software Testing and Analysis
- ChatGPT for Vulnerability Detection, Classification, and Repair: How Far Are We?2023
Papers
- A Lightweight Assisted Vulnerability Discovery Method Using Deep Neural Networks2019
- A memory-related vulnerability detection approach based on vulnerability features2020
- A transformer-based IDE plugin for vulnerability detection2023
- Automated software vulnerability detection with machine learning2018
- Automated Vulnerability Detection in Source Code Using Deep Representation Learning2018
- Automated vulnerability detection in source code using quantum natural language processing2023
Surveys
- Android Source Code Vulnerability Detection: A Systematic Literature Review2023
- An Investigation of Quality Issues in Vulnerability Detection Datasets2023
- A Survey of Automatic Software Vulnerability Detection, Program Repair, and Defect Prediction Techniques2020
- A survey on automated software vulnerability detection using Machine Learning and Deep Learning2023
- A Survey on Software Fault Localization2016
- Benchmarking software vulnerability detection techniques: A survey2023
Showing a sample of 153 resources. View the full list on GitHub →