Differentially Private Mixture of Generative Neural Networks
Differentially Private Mixture of Generative Neural Networks
Generative models are used in a wide range of applications building on large amounts of contextually rich information. Due to possible privacy violations of the individuals whose data is used to train these models, however, publishing or sharing generative models is not always viable. In this paper, we present a …