Differentially Private Normalizing Flows for Density Estimation, Data Synthesis, and Variational Inference with Application to Electronic Health Records

1 code implementation • 11 Feb 2023 • Bingyue Su, Yu Wang, Daniele E. Schiavazzi, Fang Liu

We use normalizing flows (NF), a family of deep generative models, to estimate the probability density of a dataset with differential privacy (DP) guarantees, from which privacy-preserving synthetic data are generated.

Density Estimation Privacy Preserving +1