Before revision: To tackle the susceptibility of deep neural networks to adversarial examples, the adversarial training has been proposed which provides a notion of security through an inner maximization problem presenting the first-order adversaries embedded within the outer minimization of the training loss.
After revision: To tackle the susceptibility of deep neural networks to adversarial examples, the adversarial training has been proposed which provides a notion of robust through an inner maximization problem presenting the first-order adversaries embedded within the outer minimization of the training loss.