风险评测 · 评测基准
Catastrophic Cyber Capabilities Benchmark (3CB): Robustly Evaluating LLM Agent Cyber Offense Capabilities
NUWA 研究解读 · 独立复核待完成
NUWA Research Note
研究问题研究设计与假设来源发现NUWA 解读局限与相反证据研究与决策意义机构与角色原始资源模型辅助整理 · 选读原始全文或官方文章中的相关章节;尚未完成逐章节审计。
研究速读
NUWA 解读:输出接口可混杂表面网络能力。
研究问题
网络能力评价对激发及通信格式有多敏感?
研究设计与假设
3CB以15题、80种激发配置评价14模型,另有四题出于伦理原因保留私有。

来源发现
所报混合效应分析中GPT-4o用XML较JSON提高24.7个百分点,p<0.001。
不同模型格式敏感性有别(§3.2)。
NUWA 解读
NUWA 解读:输出接口可混杂表面网络能力。
局限与相反证据
题目完成不测灾难结果,保留任务与有限广度限制公开复现。
研究与决策意义
模型建议:解释排名或风险标签前记录格式及激发配置。
精确来源位置
- Catastrophic Cyber Capabilities Benchmark (3CB): Robustly Evaluating LLM Agent Cyber Offense Capabilities · AbstractSelected original resource https://arxiv.org/html/2410.09114; sha256:b48d6428cc9f577412b3bb2c8bca9f4df649e94e9c2472006f863d8e2ed4046f; archived source capture; exact capture time not independently established
- Catastrophic Cyber Capabilities Benchmark (3CB): Robustly Evaluating LLM Agent Cyber Offense Capabilities · §2 MethodologySelected original resource https://arxiv.org/html/2410.09114; sha256:b48d6428cc9f577412b3bb2c8bca9f4df649e94e9c2472006f863d8e2ed4046f; archived source capture; exact capture time not independently established
- Catastrophic Cyber Capabilities Benchmark (3CB): Robustly Evaluating LLM Agent Cyber Offense Capabilities · §3.2 Elicitation resultsSelected original resource https://arxiv.org/html/2410.09114; sha256:b48d6428cc9f577412b3bb2c8bca9f4df649e94e9c2472006f863d8e2ed4046f; archived source capture; exact capture time not independently established
- Catastrophic Cyber Capabilities Benchmark (3CB): Robustly Evaluating LLM Agent Cyber Offense Capabilities · §4 DiscussionSelected original resource https://arxiv.org/html/2410.09114; sha256:b48d6428cc9f577412b3bb2c8bca9f4df649e94e9c2472006f863d8e2ed4046f; archived source capture; exact capture time not independently established
来源核查、数据提取、编辑批准与实验复现分别记录。 方法说明 →
机构与角色
作者 (5)
Andrey Anurin · Jonathan Ng · Kibo Schaffer · Jason Schreiber · Esben Kran
评测协议
引用与复用
引用研究发现时请引用原始出版物;引用 NUWA 的整理与解释时,单独引用本站记录及对应快照。
原始出版物 · BibTeX
@misc{catastrophic-cyber-benchmark,
title = {Catastrophic Cyber Capabilities Benchmark (3CB): Robustly Evaluating LLM Agent Cyber Offense Capabilities},
url = {https://arxiv.org/abs/2410.09114},
author = {Andrey Anurin and Jonathan Ng and Kibo Schaffer and Jason Schreiber and Esben Kran},
year = {2024},
date = {2024-10-10},
version = {arXiv:2410.09114v2},
note = {arXiv:2410.09114v2}
}
NUWA 记录 · BibTeX
@misc{catastrophic-cyber-benchmark-nuwa,
title = {Catastrophic Cyber Capabilities Benchmark (3CB): Robustly Evaluating LLM Agent Cyber Offense Capabilities — NUWA research record},
url = {https://whitzard.tech/nuwa/whitzard-index/work/catastrophic-cyber-benchmark/},
version = {2026-10-29.1},
organization = {NUWA Frontier AI Safety Lab},
howpublished = {Retained note edition: https://whitzard.tech/nuwa/whitzard-index/data/record-editions/2026-10-29.1--catastrophic-cyber-benchmark.json},
note = {NUWA research note. Source-reading scope and independent review status are stated on the record. Snapshot 2026-10-29.1. Retained note edition: https://whitzard.tech/nuwa/whitzard-index/data/record-editions/2026-10-29.1--catastrophic-cyber-benchmark.json.}
}
证据快照 2026-10-29.1 · 索引更新 · RSS
参考文献
- [1] Your Name. Catastrophic Cyber Capabilities Benchmark (3CB): Robustly Evaluating LLM Agent Cyber Offense Capabilities. 2024-10-10. v2 [arXiv]; Abstract; §2 Methodology; §3.2 Elicitation results
- [2] ‘3cb’: The Catastrophic Cyber Capabilities Benchmark. 2024-10-30 ; Original institutional announcement: Apart Research paper