Search Results for author: Marcel Neunhoeffer

Found 2 papers, 2 papers with code

Private Post-GAN Boosting

1 code implementation ICLR 2021 Marcel Neunhoeffer, Zhiwei Steven Wu, Cynthia Dwork

We also provide a non-private variant of PGB that improves the data quality of standard GAN training.

Really Useful Synthetic Data -- A Framework to Evaluate the Quality of Differentially Private Synthetic Data

1 code implementation16 Apr 2020 Christian Arnold, Marcel Neunhoeffer

First, quality of synthetic data can be evaluated against training data or against an underlying population.

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