Disentangling private classes through regularization

no code implementations • 5 Jul 2022 • Enzo Tartaglione, Francesca Gennari, Marco Grangetto

In this work we propose DisP, an approach for deep learning models disentangling the information related to some classes we desire to keep private, from the data processed by AI.

Decision Making