Sep 12, 2020 · This study introduces a novel information theoretic framework for studying privacy-utility tradeoff suitable for multivariate data and for the cases with ...

This study introduces a novel information theoretic frame- work for studying privacy-utility tradeoff suitable for multivariate data and for the cases with ...

Sep 14, 2020 · We consider an information theoretic approach of quantifying privacy-leakage by the mutual information between sensitive data and released data.

Jun 11, 2020 · In this article, we propose a new variational approach to learn private and/or fair representations. This approach is based on the Lagrangians.

Variational approach for privacy funnel optimization ... Briefly, privacy funnel uses mutual information to evaluate both data distortion and privacy leakage.

Abstract. In this article, we propose a new variational approach to learn private and/or fair representations. This approach is based on.

Sep 6, 2021 · We name these two optimization problems the conditional privacy funnel (CPF) and the conditional fairness bottleneck (CFB) due to their.

This study introduces VAEFL, an innovative FL framework that incorporates Variational Autoencoders (VAEs) to enhance privacy protection without undermining the ...

A new variational approach to learn private and/or fair representations based on the Lagrangians of a new formulation of the privacy and fairness ...

Jun 11, 2020 · In this article, we propose a new variational approach to learn private and/or fair representations. This approach is based on the ...