Lorenzo Lazzarotto

Explainable Adversarial Attacks on Coarse-to-Fine Classifiers

Traditional adversarial attacks typically aim to alter the predicted labels of input images by generating perturbations that are imperceptible to the human eye. However, these approaches often lack explainability. Moreover, most existing work on adversarial attacks focuses on single-stage classifier…