The following publications are possibly variants of this publication:
- Adversarial robustness of deep neural networks: A survey from a formal verification perspectiveMeng, Mark Huasong, Bai, Guangdong, Teo, Sin Gee, Hou, Zhe, Xiao, Yan, Lin, Yun, Dong, Jin Song. IEEE Transactions on Dependable and Secure Computing, , 2022.
- Application of a neural network machine learning model in the selection system of sheet metal bending toolingZone-Ching Lin, Da-Yuan Chang. aei, 10(1):21-37, 1996. [doi]
- Intelligent Blockchain-Based Edge Computing via Deep Reinforcement Learning: Solutions and ChallengesDinh C. Nguyen, Van-Dinh Nguyen, Ming Ding 0001, Symeon Chatzinotas, Pubudu N. Pathirana, Aruna Seneviratne, Octavia A. Dobre, Albert Y. Zomaya. network, 36(6):12-19, 2022. [doi]
- Deep Learning for Security Problems in 5G Heterogeneous NetworksZhihan Lv, Amit Kumar Singh 0001, Jinhua Li. network, 35(2):67-73, 2021. [doi]