Really Useful Synthetic Data - A Framework to Evaluate the Quality of Differentially Private Synthetic Data. - Christian Arnold; Marcel Neunhoeffer (CoRR, 2020)

Private Post-GAN Boosting. - Marcel Neunhoeffer; Steven Wu 001; Cynthia Dwork (ICLR, 2021)

Continual Release of Differentially Private Synthetic Data. - Mark Bun; Marco Gaboardi; Marcel Neunhoeffer; Wanrong Zhang 001 (CoRR, 2023)

Generative adversarial nets for social scientists. - Marcel Neunhoeffer (2023)

Generating Synthetic Data is Complicated: Know Your Data and Know Your Generator. - Jonathan Latner; Marcel Neunhoeffer; Jörg Drechsler (PSD, 2024)

Continual Release of Differentially Private Synthetic Data from Longitudinal Data Collections. - Mark Bun; Marco Gaboardi; Marcel Neunhoeffer; Wanrong Zhang 001 (Proc. ACM Manag. Data, 2024)