AI Code Generators for Security: Friend or Foe?
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Abstract (arXiv)
Recent advances of artificial intelligence (AI) code generators are opening new opportunities in software security research, including misuse by malicious actors. We review use cases for AI code generators for security and introduce an evaluation benchmark.
Key facts. Cited by 2 papers in the map (data through 7 Oct 2026). Builds on 4 of its 12 references that are in the map. First posted on arXiv 2 Feb 2024.
Builds on
4 of 12 references.
References · 4
- 2023LIMA: Less Is More for Alignmentcited by 1,080
- 2023From ChatGPT to ThreatGPT: Impact of Generative AI in Cybersecurity and Privacycited by 137
- 2022Who Evaluates the Evaluators? On Automatic Metrics for Assessing AI-based Offensive Code Generatorscited by 10
- 2022DualSC: Automatic Generation and Summarization of Shellcode via Transformer and Dual Learningcited by 8
Built on by
Citing papers per year: 2024: 1; 2025: 0; 2026: 1.
2 papers.