219 citations · 378 across the 62 of their papers we have counts for
5 papers · 1 filter
Achieving Network Resilience through Graph Neural Network-enabled Deep Reinforcement Learning
Xuzeng Li, Tao Zhang, Jian Wang +5
Deep reinforcement learning (DRL) has been widely used in many important tasks of communication networks. In order to improve the perception ability of DRL on the network, some stu…
Generative AI-driven Cross-layer Covert Communication: Fundamentals, Framework and Case Study
Tianhao Liu, Jiqiang Liu, Tao Zhang +5
Ensuring end-to-end cross-layer communication security in military networks by selecting covert schemes between nodes is a key solution for military communication security. With th…
Enhancing Physical Layer Communication Security through Generative AI with Mixture of Experts
Changyuan Zhao, Hongyang Du, Dusit Niyato +6
AI technologies have become more widely adopted in wireless communications. As an emerging type of AI technologies, the generative artificial intelligence (GAI) gains lots of atten…
Graph Attention Network-based Block Propagation with Optimal AoI and Reputation in Web 3.0
Jiana Liao, Jinbo Wen, Jiawen Kang +6
Web 3.0 is recognized as a pioneering paradigm that empowers users to securely oversee data without reliance on a centralized authority. Blockchains, as a core technology to realiz…
Generative AI for Secure Physical Layer Communications: A Survey
Changyuan Zhao, Hongyang Du, Dusit Niyato +6
Generative Artificial Intelligence (GAI) stands at the forefront of AI innovation, demonstrating rapid advancement and unparalleled proficiency in generating diverse content. Beyon…