Enhancing Adversarial Robustness in Automatic Modulation Recognition with Dynamical Systems-Inspired Deep Learning Frameworks

Λεπτομέρειες βιβλιογραφικής εγγραφής
Τίτλος: Enhancing Adversarial Robustness in Automatic Modulation Recognition with Dynamical Systems-Inspired Deep Learning Frameworks
Συγγραφείς: Li, XiaohuAff11, Zhou, YajianAff11, Yan, HongchaoAff12
Συνεισφορές: 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
Πηγή: Wireless Artificial Intelligent Computing Systems and Applications : 18th International Conference, WASA 2024, Qindao, China, June 21–23, 2024, Proceedings, Part I. 14997:387-401
Βάση Δεδομένων: Springer Nature eBooks
Περιγραφή
ISBN:9783031714634
9783031714641
DOI:10.1007/978-3-031-71464-1_32