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Yan-Jie Li

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#artificial intelligence Preprint Sep 2026

ToolFence: Fine-Grained Authorization for Secure Tool-Using LLM Agents

Tool-using LLM agents remain vulnerable to indirect prompt injection because trusted instructions and untrusted observations share one context, allowing malicious content to steer consequential input-filtering defenses. Multi-path consensus defenses still leave a high attack success rate because they examine content or...

Yan-Jie Li, Xiang-Yu He, Xue-Long Dai et al. · 0 citations

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