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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.

JSON API: http://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/paultheal1en%2FDeep-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: 3 months ago
Pushed at: 5 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

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