A Privacy-Preserving Walk in the Latent Space of Generative Models for Medical Applications

Matteo Pennisi, Federica Proietto Salanitri, Giovanni Bellitto +3

Generative Adversarial Networks (GANs) have demonstrated their ability to generate synthetic samples that match a target distribution. However, from a privacy perspective, using GA…