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ToolHazard: Scaling Adversarial Environments for Security Evaluation and Alignment of LLM-based Agents
Large language model (LLM) agents integrated with external tools are vulnerable to indirect prompt injections embedded in environmental states. However, existing studies largely rely on manually implemented or reused env
推荐理由ToolHazard: Scaling Adversarial：Large language model (LLM) agents integrated with external tools are vulnerable。