CYBERSECEVAL 3: Advancing the Evaluation of Cybersecurity Risks and Capabilities in Large Language Models

Shengye Wan, Cyrus Nikolaidis, Daniel Song, David Molnar, James Crnkovich +8 more
8/2/2024
cs.CRcs.LG

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Abstract

We are releasing a new suite of security benchmarks for LLMs, CYBERSECEVAL 3, to continue the conversation on empirically measuring LLM cybersecurity risks and capabilities. CYBERSECEVAL 3 assesses 8 different risks across two broad categories: risk to third parties, and risk to application developers and end users. Compared to previous work, we add new areas focused on offensive security capabilities: automated social engineering, scaling manual offensive cyber operations, and autonomous offensive cyber operations. In this paper we discuss applying these benchmarks to the Llama 3 models and a suite of contemporaneous state-of-the-art LLMs, enabling us to contextualize risks both with and without mitigations in place.

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@article{wan2024cyberseceval,
  title  = {CYBERSECEVAL 3: Advancing the Evaluation of Cybersecurity Risks and Capabilities in Large Language Models},
  author = {Shengye Wan and Cyrus Nikolaidis and Daniel Song and David Molnar and James Crnkovich and Jayson Grace and Manish Bhatt and Sahana Chennabasappa and Spencer Whitman and Stephanie Ding and Vlad Ionescu and Yue Li and Joshua Saxe},
  year   = {2024},
  eprint = {2408.01605},
  archivePrefix = {arXiv},
  url    = {http://arxiv.org/abs/2408.01605v2}
}

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