Differentially Private Synthetic Data: Applied Evaluations and Enhancements

1 code implementation • 11 Nov 2020 • Lucas Rosenblatt, Xiaoyan Liu, Samira Pouyanfar, Eduardo de Leon, Anuj Desai, Joshua Allen

Differentially private data synthesis protects personal details from exposure, and allows for the training of differentially private machine learning models on privately generated datasets.

BIG-bench Machine Learning