Rethinking CyberSecEval: An LLM-Aided Approach to Evaluation Critique
Hariharan, Suhas, Majid, Zainab Ali, Veuthey, Jaime Raldua, Haimes, Jacob
–arXiv.org Artificial Intelligence
A key development in the cybersecurity evaluations space is the work carried out by Meta, through their CyberSecEval approach. While this work is undoubtedly a useful contribution to a nascent field, there are notable features that limit its utility. Key drawbacks focus on the insecure code detection part of Meta's methodology: we explore these limitations, and use our exploration as a test case for LLM-assisted benchmark analysis.
arXiv.org Artificial Intelligence
Nov-13-2024
- Genre:
- Research Report > Experimental Study (0.94)
- Industry:
- Information Technology > Security & Privacy (0.87)
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