Etik, Güvenlik ve RegülasyonMemPrivacy Framework (2026): AI Data Protection via Reversible Pseudonymization
A new framework called MemPrivacy uses local reversible pseudonymization to protect sensitive user data in edge-cloud AI agents without sacrificing memory utility. Developed by researchers from MemTensor, HONOR Device, and Tongji University, the system identifies privacy-sensitive information on devices before cloud processing. This approach aims to resolve the growing tension between personalized AI memory and user privacy exposure.





















