2021
Adversarial Robustness Guarantees for Random Deep Neural Networks
ICML 2021spotlight
The reliability of deep learning algorithms is fundamentally challenged by the existence of adversarial examples, which are incorrectly classified inputs that are extremely close to a correctly classified input. We explore the properties of adversarial examples for deep neural networks with random w…