Abstract: Deep learning models are highly susceptible to adversarial attacks, where subtle perturbations in the input images lead to misclassifications. Adversarial examples typically distort specific ...

The original code that was used for the experiments in the paper was built on top of a Meta internal codebase and therefore is not publicly available. This codebase is not an official release from ...