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2025-06-06 09:37:16

This https://arxiv.org/abs/2505.05849 has been replaced.
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AGENTFUZZER: Generic Black-Box Fuzzing for Indirect Prompt Injection against LLM Agents
The strong planning and reasoning capabilities of Large Language Models (LLMs) have fostered the development of agent-based systems capable of leveraging external tools and interacting with increasingly complex environments. However, these powerful features also introduce a critical security risk: indirect prompt injection, a sophisticated attack vector that compromises the core of these agents, the LLM, by manipulating contextual information rather than direct user prompts. In this work, we pr…