
PrivSynth — Privacy-Preserving Synthetic Data Generation
A Wasserstein GAN (WGAN-GP) that synthesizes tabular data from encrypted inputs, so the model provider never sees the underlying data.

A Wasserstein GAN (WGAN-GP) that synthesizes tabular data from encrypted inputs, so the model provider never sees the underlying data.

Django app for exploring large-scale Siemens power plant sensor data: time-series plots, outlier analysis, and topological projections.