AIBugHunter: A Practical Tool for Predicting, Classifying and Repairing Software Vulnerabilities
A deep learning model for identifying and localizing vulnerabilities in C/C++ source code.
Large-scale Solidity/Ethereum smart contract vulnerability dataset for Web3 security, detection, type classification, and line localization.
Model-assisted, file-level vulnerability localization for source repositories, powered by Foundation AI Antares models.
Runnable security labs from pwndojo — Antares-1B vulnerability localization, VLocBench CVE triage, and whatever the dojo trains on next.
Interpretable secure programming analysis of AI-generated vulnerable code using CodeLLMExp, CWE classification, line localization, and repair-aware evaluation.
🔍 Predict software vulnerability trends using Multi-Recurrent Neural Networks for improved cybersecurity strategies and informed decision-making.
To associate your repository with the vulnerability-localization topic, visit your repo's landing page and select "manage topics."