AIBearisharXiv – CS AI · 14h ago7/10
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ADAM: A Systematic Data Extraction Attack on Agent Memory via Adaptive Querying
Researchers have developed ADAM, a novel privacy attack that exploits vulnerabilities in Large Language Model agents' memory systems through adaptive querying, achieving up to 100% success rates in extracting sensitive information. The attack highlights critical security gaps in modern LLM-based systems that rely on memory modules and retrieval-augmented generation, underscoring the urgent need for privacy-preserving safeguards.