Based-CE white-box adversarial attack will not work using super-fitting. (arXiv:2205.02741v1 [cs.LG])

Deep Neural Networks (DNN) are widely used in various fields due to their
powerful performance, but recent studies have shown that deep learning models
are vulnerable to adversarial attacks-by adding a slight perturbation to the
input, the model will get wrong results. It is especially dangerous for some
systems with high security requirements, so this paper proposes a new defense
method by using the model super-fitting status. Model's adversarial robustness
(i.e., the accuracry under adversarial attack) has been greatly improved …

adversarial attack box lg super work