A survey of intelligent network slicing management for industrial IoT: Integrated approaches for smart transportation, smart energy, and smart factory

Y Wu, HN Dai, H Wang, Z ** future human-centered smart cities: Critical analysis of smart city security, Data management, and Ethical challenges
K Ahmad, M Maabreh, M Ghaly, K Khan, J Qadir… - Computer Science …, 2022 - Elsevier
As the globally increasing population drives rapid urbanization in various parts of the world,
there is a great need to deliberate on the future of the cities worth living. In particular, as …

Shadows can be dangerous: Stealthy and effective physical-world adversarial attack by natural phenomenon

Y Zhong, X Liu, D Zhai, J Jiang… - Proceedings of the IEEE …, 2022 - openaccess.thecvf.com
Estimating the risk level of adversarial examples is essential for safely deploying machine
learning models in the real world. One popular approach for physical-world attacks is to …

Machine learning in additive manufacturing: State-of-the-art and perspectives

C Wang, XP Tan, SB Tor, CS Lim - Additive Manufacturing, 2020 - Elsevier
Additive manufacturing (AM) has emerged as a disruptive digital manufacturing technology.
However, its broad adoption in industry is still hindered by high entry barriers of design for …

Wanet--imperceptible war**-based backdoor attack

A Nguyen, A Tran - arxiv preprint arxiv:2102.10369, 2021 - arxiv.org
With the thriving of deep learning and the widespread practice of using pre-trained networks,
backdoor attacks have become an increasing security threat drawing many research …