Adversarial Attack and Defense in Deep Ranking
Deep Neural Network classifiers are vulnerable to adversarial attacks, where an imperceptible perturbation could result in misclassification. However, the vulnerability of DNN-based image ranking systems remains under-explored. In this paper, we propose two attacks against deep ranking systems, i.e....
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Détails bibliographiques
| Publié dans: | IEEE transactions on pattern analysis and machine intelligence. - 1979. - 46(2024), 8 vom: 26. Aug., Seite 5306-5324
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| Auteur principal: |
Zhou, Mo
(Auteur) |
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| Autres auteurs: |
Wang, Le,
Niu, Zhenxing,
Zhang, Qilin,
Zheng, Nanning,
Hua, Gang |
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| Format: | Article en ligne
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| Langue: | English |
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| Publié: |
2024
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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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