semantic-integrity

MemPrivacy is a research paper introducing a framework for privacy-preserving personalized memory management in edge-cloud AI agents, using type-aware placeholders to protect sensitive data while maintaining semantic utility. It includes a new benchmark dataset and demonstrates superior performance over general-purpose models like GPT-5.2 and Gemini-3.1-Pro.