Differentially Private Mixed-Type Data Generation For Unsupervised Learning

1 code implementation • 25 Sep 2019 • Uthaipon Tantipongpipat, Chris Waites, Digvijay Boob, Amaresh Siva, Rachel Cummings

In this work we introduce the DP-auto-GAN framework for synthetic data generation, which combines the low dimensional representation of autoencoders with the flexibility of GANs.

Synthetic Data Generation Vocal Bursts Type Prediction