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J. Zheng is with State-Province Joint Engineering and Research Center of Advanced Networking and Intelligent Information Services, College of Computer, Northwest University, Xian, 710127, Shaanxi, China.(jzheng@nwu.edu.cn) D. Niyato, C. Zhao, R. Zhang and J. Wang are with the College of Computing and Data Science, Nanyang Technological University, Singapore 639798. (dniyato@ntu.edu.sg, zhao0441@e.ntu.edu.sg, jiacheng.wang@ntu.edu.sgJ. Kang with the Automation of School, Guangdong University of Technology, Guangzhou 510006, China.(kavinkang@gdut.edu.cn)
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Ditching rigid digital twins for adaptable world models could unlock truly intelligent edge computing in 6G networks.
Backdoor attacks can now hide in plain sight: by delaying activation, common words become viable triggers, opening a new, stealthier attack surface in pre-trained models.
Federated learning can supercharge agentic AI in wireless networks by enabling collaborative local learning and parameter sharing, overcoming limitations of centralized architectures.
SemCom's shift to AI-native communication opens doors to subtle semantic attacks that bypass traditional security, demanding a new wave of AI-driven defenses.
