Evaluation of GAN-Based Model for Adversarial Training
Deep learning has been successfully utilized in many applications, but it is vulnerable to adversarial samples. To address this vulnerability, a generative adversarial network (GAN) has been used to train a robust classifier. This paper presents a novel GAN model and its implementation to defend aga...
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| Hlavní autoři: | , , |
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| Médium: | Artigo |
| Jazyk: | Inglês |
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MDPI AG
2023-03-01
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| Edice: | Sensors |
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| On-line přístup: | https://www.mdpi.com/1424-8220/23/5/2697 |
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