Revisiting AUC-Oriented Adversarial Training With Loss-Agnostic Perturbations

The Area Under the ROC curve (AUC) is a popular metric for long-tail classification. Many efforts have been devoted to AUC optimization methods in the past decades. However, little exploration has been done to make them survive adversarial attacks. Among the few exceptions, AdAUC presents an early t...

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Publié dans:IEEE transactions on pattern analysis and machine intelligence. - 1979. - 45(2023), 12 vom: 10. Dez., Seite 15494-15511
Auteur principal: Yang, Zhiyong (Auteur)
Autres auteurs: Xu, Qianqian, Hou, Wenzheng, Bao, Shilong, He, Yuan, Cao, Xiaochun, Huang, Qingming
Format: Article en ligne
Langue:English
Publié: 2023
Accès à la collection:IEEE transactions on pattern analysis and machine intelligence
Sujets:Journal Article