Deep-Learning-based-Vulnerability-Detection-Are-We-There-Yet---Reimplement

Reimplement empirical study on deep learning-based vulnerability detection techniques using real-world datasets (Devign and Chrome+Debian). Includes tools for parsing, slicing, and analyzing C code with GGNN and ReVeal pipelines.

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C Language

mit License

Cost to Build

$48.84M

Market Value

$8.62M

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Growth over time

1 data points · 2025-08-30 → 2025-08-30

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What is the paultheal1en/Deep-Learning-based-Vulnerability-Detection-Are-We-There-Yet---Reimplement GitHub project? Description: "Reimplement empirical study on deep learning-based vulnerability detection techniques using real-world datasets (Devign and Chrome+Debian). Includes tools for parsing, slicing, and analyzing C code with GGNN and ReVeal pipelines.". Written in C. Explain what it does, its main use cases, key features, and who would benefit from using it.

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