On Connections Between Regularizations for Improving DNN Robustness

This paper analyzes regularization terms proposed recently for improving the adversarial robustness of deep neural networks (DNNs), from a theoretical point of view. Specifically, we study possible connections between several effective methods, including input-gradient regularization, Jacobian regul...

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Publié dans:	IEEE transactions on pattern analysis and machine intelligence. - 1979. - 43(2021), 12 vom: 30. Dez., Seite 4469-4476
Auteur principal:	Guo, Yiwen (Auteur)
Autres auteurs:	Chen, Long, Chen, Yurong, Zhang, Changshui
Format:	Article en ligne
Langue:	English
Publié:	2021
Accès à la collection:	IEEE transactions on pattern analysis and machine intelligence
Sujets:	Journal Article Research Support, Non-U.S. Gov't