Benchmarking Robustness of Deep Learning Classifiers Using Two-Factor Perturbation

Wei Dai, Daniel Berleant

Accuracies of deep learning (DL) classifiers are often unstable in that they may change significantly when retested on adversarial images, imperfect images, or perturbed images. Th…