Rethinking CyberSecEval: An LLM-Aided Approach to Evaluation Critique

November 13, 2024 Β· Declared Dead Β· πŸ› 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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