Rethinking CyberSecEval: An LLM-Aided Approach to Evaluation Critique
November 13, 2024 Β· Declared Dead Β· π arXiv.org
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Authors
Suhas Hariharan, Zainab Ali Majid, Jaime Raldua Veuthey, Jacob Haimes
arXiv ID
2411.08813
Category
cs.AI: Artificial Intelligence
Citations
3
Venue
arXiv.org
Last Checked
4 months ago
Abstract
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.
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