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