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Memory in LLM Agents Creates New Vulnerabilities in Question Answering
AI agents with memory extend LLM capabilities by retaining prior interactions for context-aware responses. However, stored memory can be exploited to influence future outputs, posing a security risk.
Understanding memory as an attack surface is crucial for securing AI agents that rely on persistent context. This insight helps in designing safer systems that balance memory benefits with potential vulnerabilities.
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Score 78
Source Type arxiv
Reposts 0
Topic Quality 66
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