GitHub / paultheal1en / 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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PURL: pkg:github/paultheal1en/Deep-Learning-based-Vulnerability-Detection-Are-We-There-Yet---Reimplement
Stars: 0
Forks: 0
Open issues: 0
License: mit
Language: C
Size: 778 MB
Dependencies parsed at: Pending
Created at: 7 months ago
Updated at: 4 months ago
Pushed at: 6 months ago
Last synced at: 3 months ago
Topics: c-code, code-analysis, deep-learning, devign, ggnn, machine-learning, reveal, reverse-engineering, security-tools, vulnerability-detection