Differentially Private Sliced Wasserstein Distance

                     Alain Rakotomamonjy 1 2 Liva Ralaivola 1

              Abstract               tinous advances made in Machine Learning (ML). How-
    Developing machine learning methods that are       ever, as ethical and regulatory concerns become prominent
    privacy preserving is today a central topic of      in these areas, there is the need to devise privacy preserving
    research, with huge practical impacts. Among       mechanism ...