Defenses in Adversarial Machine Learning : a Systematic Survey from the Lifecycle Perspective
Adversarial phenomena have been widely observed in machine learning (ML) systems, especially those using deep neural networks. These phenomena describe situations where ML systems may produce predictions that are inconsistent and incomprehensible to humans in certain specific cases. Such behavior po...
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Détails bibliographiques
| Publié dans: | IEEE transactions on pattern analysis and machine intelligence. - 1979. - PP(2025) vom: 17. Sept.
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| Auteur principal: |
Wu, Baoyuan
(Auteur) |
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| Autres auteurs: |
Zhu, Mingli,
Zheng, Meixi,
Zhu, Zihao,
Wei, Shaokui,
Zhang, Mingda,
Chen, Hongrui,
Yuan, Danni,
Liu, Li,
Liu, Qingshan |
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| Format: | Article en ligne
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| Langue: | English |
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| Publié: |
2025
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| Accès à la collection: | IEEE transactions on pattern analysis and machine intelligence
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| Sujets: | Journal Article |
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