18 citations · 33 across the 3 of their papers we have counts for
3 papers
Continual Release of Differentially Private Synthetic Data from Longitudinal Data Collections
Mark Bun, Marco Gaboardi, Marcel Neunhoeffer +1
Motivated by privacy concerns in long-term longitudinal studies in medical and social science research, we study the problem of continually releasing differentially private synthet…
Private Post-GAN Boosting
Marcel Neunhoeffer, Zhiwei Steven Wu, Cynthia Dwork
Differentially private GANs have proven to be a promising approach for generating realistic synthetic data without compromising the privacy of individuals. Due to the privacy-prote…
Really Useful Synthetic Data -- A Framework to Evaluate the Quality of Differentially Private Synthetic Data
Christian Arnold, Marcel Neunhoeffer
Recent advances in generating synthetic data that allow to add principled ways of protecting privacy -- such as Differential Privacy -- are a crucial step in sharing statistical in…