A Theoretical Framework for Robustness of (Deep) Classifiers against Adversarial Examples

Beilun Wang, Ji Gao, Yanjun Qi

Most machine learning classifiers, including deep neural networks, are vulnerable to adversarial examples. Such inputs are typically generated by adding small but purposeful modifi…