الباحثون

David Schmotz

المنشورات 2

نسخة أولية وصول مفتوح

Instrumental Monitor Evasion Emerges Under Ordinary Task Pressure

A central concern in AI safety is that agents may treat oversight as an obstacle when it conflicts with completing their goals. We study instrumental evasion, the propensity of LLM agents to circumvent runtime monitoring as a means of completing ordinary tasks. We introduce EvasionBench, a benchmark of 50 diverse task- …

نسخة أولية وصول مفتوح

LLM Agents Can Easily Tamper With Their Own Traces

Jeremy Qin, David Schmotz, Derck Prinzhorn وآخرون · 2026

Asynchronous monitoring, incident investigations, and compliance audits primarily rely on agent traces to reconstruct what happened. These analyses assume that LLM agents cannot tamper with their own execution traces. We show that local LLM agents such as Claude Code, Codex, Antigravity, Open Code and Grok Build fail t …

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