Artificial Intelligence (AI) has made many breakthroughs in various fields in the past decades, and relevant applications have brought significant impact and changes to our lives. It is widely believed that AI will be a future trend. Moreover, when applying AI to real-world scenarios, the robustness and security of AI techniques become a critical issue. Thus, we initiated this special session with the theme of “Artificial Intelligence and Security (AIS)”. The aim of this special session is to build a platform and bring together scholars and engineers in the relevant fields to discuss the most advanced theories, technologies, and applications.
Topics of particular interest include, but are not limited to:
- Supervised learning theories, algorithms, and applications
- Semi-supervised learning theories, algorithms, and applications
- Unsupervised learning theories, algorithms, and applications
- Ensemble learning
- Randomized neural networks
- Deep learning
- Zero-shot learning and few-shot learning
- Transfer learning
- Recommendation system
- Computational intelligence
- Security and robustness verification of neural networks
- Applications on software and protocol analysis
- Block chain
Organizers
Dr. Weipeng Cao, Shenzhen University, China. caoweipeng@szu.edu.cn
Dr. Qiang Wang, Southern University of Science and Technology, China. wangq8@sustech.edu.cn
Dr. Jiyong Zhang, Hangzhou Dianzi University, China. jzhang@hdu.edu.cn
Paper Submission
Papers submitted to this special session are reviewed according to the same rules as the submissions to the regular sessions of IEEE CSCloud 2020. Authors who submit papers to this session should note in the footnote position of the front page: “Submit to IEEE CSCloud 2020 Special Session on Artificial Intelligence and Security (AIS)”.
The submission link is: [Submission Link]
For further information and news, please refer to [here]
