Stylized Adversarial Defense
Deep Convolution Neural Networks (CNNs) can easily be fooled by subtle, imperceptible changes to the input images. To address this vulnerability, adversarial training creates perturbation patterns and includes them in the training set to robustify the model. In contrast to existing adversarial train...
Ausführliche Beschreibung
Bibliographische Detailangaben
| Veröffentlicht in: | IEEE transactions on pattern analysis and machine intelligence. - 1979. - 45(2023), 5 vom: 19. Mai, Seite 6403-6414
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| 1. Verfasser: |
Naseer, Muzammal
(VerfasserIn) |
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| Weitere Verfasser: |
Khan, Salman,
Hayat, Munawar,
Khan, Fahad Shahbaz,
Porikli, Fatih |
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| Format: | Online-Aufsatz
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| Sprache: | English |
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| Veröffentlicht: |
2023
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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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