Physical-Layer Adversarial Robustness for Deep Learning-Based Semantic Communications

End-to-end semantic communications (ESC) rely on deep neural networks (DNN) to boost communication efficiency by only transmitting the semantics of data, showing great potential for high-demand mobile applications. We argue that central to the success of ESC is the robust interpretation of conveyed...

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Veröffentlicht in:	IEEE journal on selected areas in communications 2023-08, Vol.41 (8), p.2592-2608
Hauptverfasser:	Nan, Guoshun, Li, Zhichun, Zhai, Jinli, Cui, Qimei, Chen, Gong, Du, Xin, Zhang, Xuefei, Tao, Xiaofeng, Han, Zhu, Quek, Tony Q. S.
Format:	Artikel
Sprache:	eng
Schlagworte:	adversarial robustness Applications programs Artificial neural networks Communication Communication system security Communication systems Communications systems Controllability Deep learning end-to-end communication systems Machine learning Mobile computing Perturbation Perturbation methods physical-layer attacks Receivers Robustness semantic communications Semantics Training Wireless communication
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