G-PATE: Scalable Differentially Private Data Generator via Private Aggregation of Teacher Discriminators

Yunhui Long, Boxin Wang, Zhuolin Yang +4

Recent advances in machine learning have largely benefited from the massive accessible training data. However, large-scale data sharing has raised great privacy concerns. In this w…