AIBugHunter: A Practical Tool for Predicting, Classifying and Repairing Software Vulnerabilities
For our ISSTA23 paper "How Effective are Neural Networks for Fixing Security Vulnerabilities?" by Yi Wu, Nan Jiang, Hung Viet Pham, Thibaud Lutellier, Jordan Davis, Lin Tan, Petr Babkin, and Sameena Shah.
[2023 TDSC] Pre-trained Model-based Automated Software Vulnerability Repair: How Far are We?
An LLM-based model for vulnerability patch generation in C/C++ source code
PatchT5: Code Language Models on Generating Security Fixes
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