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InfoResearchPreprintLLM-specific

Appreciation Teaches Unauthorized Execution: Self-Evolution Degrades the Robustness of Personal Agents to Indirect Prompt Injection

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Summary

Researchers tested whether self-evolving personal agents, which learn from user feedback, become less robust to indirect prompt injection, where hidden instructions in third-party content hijack the agent. In a two-phase setup on a real personal agent, the average attack success rate rose by 14.0 to 48.8 percentage points under skill evolution and by 3.0 to 39.3 percentage points under reinforcement learning, compared with a base agent that does not evolve.