Abstract: Training deep neural networks (DNNs) with altered data, known as adversarial training, is essential for improving their robustness. A significant challenge emerges as the robustness ...

Abstract: Adversarial attacks introduced subtle perturbations to input images to mislead classification models into producing incorrect predictions. Training models using adversarial examples defended ...