eBook
Enhancing Adversarial Robustness in Automatic Modulation Recognition with Dynamical Systems-Inspired Deep Learning Frameworks
| Title: | Enhancing Adversarial Robustness in Automatic Modulation Recognition with Dynamical Systems-Inspired Deep Learning Frameworks |
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| Authors: | Li, XiaohuAff11, Zhou, YajianAff11, Yan, HongchaoAff12 |
| Contributors: | Goos, Gerhard, Series EditorAff1, Hartmanis, Juris, Founding EditorAff2, Bertino, Elisa, Editorial Board MemberAff3, Gao, Wen, Editorial Board MemberAff4, Steffen, Bernhard, Editorial Board MemberAff5, Yung, Moti, Editorial Board MemberAff6, Cai, Zhipeng, editorAff7, Takabi, Daniel, editorAff8, Guo, Shaoyong, editorAff9, Zou, Yifei, editorAff10 |
| Source: | Wireless Artificial Intelligent Computing Systems and Applications : 18th International Conference, WASA 2024, Qindao, China, June 21–23, 2024, Proceedings, Part I. 14997:387-401 |
| Database: | Springer Nature eBooks |
| ISBN: | 9783031714634 9783031714641 |
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| DOI: | 10.1007/978-3-031-71464-1_32 |