Abstract: Model Inversion (MI) attacks based on Generative Adversarial Networks (GAN) aim to recover private training data from complex deep learning models by searching codes in the latent space.

Abstract: The Model Inversion Attack (MIA) aims to reconstruct the privacy data used to train the target model, raising significant public concerns about the privacy of machine learning models.