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....
Ausführliche Beschreibung
Bibliographische Detailangaben
| Veröffentlicht in: | IEEE transactions on pattern analysis and machine intelligence. - 1979. - 46(2024), 8 vom: 26. Aug., Seite 5306-5324
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| 1. Verfasser: |
Zhou, Mo
(VerfasserIn) |
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| Weitere Verfasser: |
Wang, Le,
Niu, Zhenxing,
Zhang, Qilin,
Zheng, Nanning,
Hua, Gang |
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| Format: | Online-Aufsatz
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| Sprache: | English |
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| Veröffentlicht: |
2024
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| Zugriff auf das übergeordnete Werk: | IEEE transactions on pattern analysis and machine intelligence
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| Schlagworte: | Journal Article |
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