Contribute Media
A thank you to everyone who makes this possible: Read More

Generating realistic, differentially private data sets using GANs


The value of individual-level data for research must be balanced against the privacy concerns of individuals. I discuss an approach for generating synthetic data sets that preserve relevant statistical properties of input data while also providing privacy guarantees for individuals in the data.


Improve this page