twinify : A software package for differentially private data release

Differentially private (DP) data sharing has facilitated releasing data containing sensitive information in a privacy-preserving manner. Many of these data sharing approaches rely on generative models learned under DP, from which a synthetic data set is then sampled. We introduce an easy-to-use software package that allows its user to define a probabilistic generative model for the data sharing task, and automates the learning and generation process based on differentially private probabilistic inference.