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MemPrivacy framework protects user data in LLM memory without breaking utility

MemPrivacy framework protects user data in LLM memory without breaking utilityMarkTechPost

The edge-cloud framework uses local reversible pseudonymization to safeguard user data in cloud-hosted memory for LLM agents. Developed by researchers from MemTensor (Shanghai), HONOR Device, and Tongji University. It aims to balance privacy with memory utility.

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28 days ago
MemPrivacy framework protects user data in LLM memory without breaking utility — AIBriefs