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V. JuanM.Núñez

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#machine learning Preprint Oct 2026

What Standard Evaluations Hide About Detectors of Hijacked LLM Agents: Rare Attacks, Unseen Tools and Benchmark Transfer

A checklist for evaluating trace detectors is turned into a guide for evaluating trace detectors after finding that attacks or anomalies make up 16% to 86% of the test samples, no evaluation varies that share, and six report no test on data from a second benchmark or source.

Mahmoud Abbasi, V. JuanM.Núñez, A. Shahraki · 0 citations

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