Adversarial Training with Orthogonal Regularization
2020
Adversarial robustness
The study of how learning systems behave under deliberately chosen perturbations intended to cause errors or expose vulnerabilities.
The study of how learning systems behave under deliberately chosen perturbations intended to cause errors or expose vulnerabilities.
It includes threat-model specification, adversarial evaluation, and methods for training systems to resist the specified attacks.