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Systematically Finding Security Vulnerabilities in Black-Box Code Generation Models. (arXiv:2302.04012v1 [cs.CR])
cs.CR updates on arXiv.org arxiv.org
Recently, large language models for code generation have achieved
breakthroughs in several programming language tasks. Their advances in
competition-level programming problems have made them an emerging pillar in
AI-assisted pair programming. Tools such as GitHub Copilot are already part of
the daily programming workflow and are used by more than a million developers.
The training data for these models is usually collected from open-source
repositories (e.g., GitHub) that contain software faults and security
vulnerabilities. This unsanitized training data can lead …
box code competition copilot daily data developers emerging github github copilot language language models large problems programming programming language repositories security tools training vulnerabilities