198 citations · 220 across the 29 of their papers we have counts for
6 papers · 1 filter
Generative Diffusion Models for Wireless Networks: Fundamental, Architecture, and State-of-the-Art
Dayu Fan, Rui Meng, Xiaodong Xu +9
With the rapid development of Generative Artificial Intelligence (GAI) technology, Generative Diffusion Models (GDMs) have shown significant empowerment potential in the field of w…
Generative AI for Physical-Layer Authentication
Rui Meng, Xiqi Cheng, Song Gao +6
Recently, Artificial Intelligence (AI)-driven Physical-Layer Authentication (PLA), which focuses on achieving endogenous security and intelligent identity authentication, has attra…
Can We Improve Channel Reciprocity via Loop-back Compensation for RIS-assisted Physical Layer Key Generation
Ningya Xu, Guoshun Nan, Xiaofeng Tao +3
Reconfigurable intelligent surface (RIS) facilitates the extraction of unpredictable channel features for physical layer key generation (PKG), securing communications among legitim…
Passive Eavesdropping Can Significantly Slow Down RIS-Assisted Secret Key Generation
Ningya Xu, Guoshun Nan, Xiaofeng Tao
Reconfigurable Intelligent Surface (RIS) assisted physical layer key generation has shown great potential to secure wireless communications by smartly controlling signals such as p…
Physical-layer Adversarial Robustness for Deep Learning-based Semantic Communications
Guoshun Nan, Zhichun Li, Jinli Zhai +7
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 fo…
Boosting Physical Layer Black-Box Attacks with Semantic Adversaries in Semantic Communications
Zeju Li, Xinghan Liu, Guoshun Nan +4
End-to-end semantic communication (ESC) system is able to improve communication efficiency by only transmitting the semantics of the input rather than raw bits. Although promising,…