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Author

Azza Mohamed

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Open access Aug 2026

Evaluating Indirect Prompt Injection Defenses in Tool-Using LLM Agents: Security, Utility, and Replication

Large language model (LLM) agents that retrieve external content and use tools are vulnerable to indirect prompt injection, in which untrusted content contains instructions intended to influence agent behavior. We evaluated four defenses and an undefended control across GPT-5.4, GPT-5.4-mini, and Claude Sonnet 4.6 on t...

Adil Khan, Khaled AlKhanbashi, Azza Mohamed · 2 citations

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