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The Autonomy Tax: Defense Training Breaks LLM Agents

These findings demonstrate that current defense paradigms optimize for single-turn refusal benchmarks while rendering multi-step agents fundamentally unreliable, necessitating new approaches that preserve tool execution competence under adversarial conditions.

Li Li, Yue Zhao · 8 citations

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