Generative Adversarial Networks GAN originally presented by Goodfellow et al is a novel technique that uses a minmax two-player game to learn latent data distributions. gan machine-learning papers privacy-gans
Privacy Preserving Predictive Modeling GANs This paper examines a GAN architecture to generate private encodings by ensuring a three player min-max optimization that regulates information leakage. GAN machine-learning papers privacy-gans