AI RESEARCH
ADAM: A Systematic Data Extraction Attack on Agent Memory via Adaptive Querying
arXiv CS.AI
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ArXi:2604.09747v1 Announce Type: cross Large Language Model (LLM) agents have achieved rapid adoption and nstrated remarkable capabilities across a wide range of applications. To improve reasoning and task execution, modern LLM agents would incorporate memory modules or retrieval-augmented generation (RAG) mechanisms, enabling them to further leverage prior interactions or external knowledge. However, such a design also