Deep Generative Binary Transformation for Robust Representation Learning
Deep generative binary transformation presents a fresh approach to robust representation learning. By leveraging the power of binary transformations, we aim to generate meaningful representations that are resilient to noise and adversarial attacks. Our method employs a deep neural network architecture that discovers a latent space where data points