D. Panagoulias

Embedding-Space Anonymization for Privacy-Preserving AI Systems

This paper studies embedding-space privacy as a representation-level learning problem. Rather than altering raw records directly, the proposed framework applies embeddingspace transformation to full-record representations through Gaussian perturbation and adversarial representation sanitization. The method is evaluated...