Private Post-GAN Boosting
Replication code for ICLR 2021 paper on differentially private synthetic data generation.
Differential Privacy
On the Formal Privacy Guarantees of Synthetic Data (Generated Without Formal Privacy Guarantees)
Examining what privacy guarantees synthetic data can satisfy even without formal guarantees during synthesizer training.
Continual Release of Differentially Private Synthetic Data from Longitudinal Data Collections
Algorithms for continually releasing differentially private synthetic data from longitudinal data collections.
Bootstrap-based, General-purpose Statistical Inference from Differential Private Releases
A general-purpose method combining bootstrap with differentially private non-parametric distribution estimation.
Private Post-GAN Boosting
Differentially private method combining samples from GAN training to create high-quality synthetic data.
Really Useful Synthetic Data -- A Framework to Evaluate the Quality of Differentially Private Synthetic Data
A framework to evaluate the quality of differentially private synthetic data from an applied researcher’s perspective.