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Ethan Jun-shen Ho

2 accepted papers

2026

Comparing AI Agents to Cybersecurity Professionals in Real-World Penetration Testing

ICLR 2026poster

We present the first comprehensive evaluation of AI agents against human cybersecurity professionals in a live enterprise environment. We evaluate ten cybersecurity professionals alongside six existing AI agents and ARTEMIS, our new agent scaffold, on a large university network consisting of $\sim$8…

Cited by 0SourcecodeScholar
2025

BountyBench: Dollar Impact of AI Agent Attackers and Defenders on Real-World Cybersecurity Systems

NeurIPS 2025poster

AI agents have the potential to significantly alter the cybersecurity landscape. Here, we introduce the first framework to capture offensive and defensive cyber-capabilities in evolving real-world systems. Instantiating this framework with BountyBench, we set up 25 systems with complex, real-world c…

Cited by 0SourceScholar