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Evangelia-Aikaterini Tsichrintzi

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Conference Jul 2026

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...

D. Panagoulias, Evangelia-Aikaterini Tsichrintzi, E. Sakkopoulos · 0 citations

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