Domain adaptive adversarial defense method for automatic modulation classification
Deep learning-based automatic modulation classification (AMC) models are vulnerable to adversarial example attacks, posing severe adversarial security threats in practical scenarios characterized by dynamic channel conditions and limited availability of signal labels. To address this issue, a multi-...
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| Principais autores: | , , , , , |
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| Format: | Artigo |
| Sprog: | Chinês |
| Udgivet: |
Editorial Department of Journal on Communications
2026-03-01
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| Serier: | Tongxin xuebao |
| Fag: | |
| Online adgang: | http://www.joconline.com.cn/zh/article/doi/10.11959/j.issn.1000-436x.2026030/ |
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