Before revision:  In this paper, we propose a new training objective " Guided Complement Entropy " (GCE) that has dual desirable effects: (a) neutralizing the predicted probabilities of incorrect classes,and (b) maximizing the predicted probability of the ground-truth class , particularly when (a) is achieved.
After revision:  In this paper, we propose a new training objective " Guided Complement Entropy " (GCE) that is capable of achieving "adversarial defense for free," which involves no additional procedures in the process of improving adversarial robustness. In addition to maximizing model probabilities on the ground-truth class , particularly when (a) is achieved.