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