With the rapid development of the big data and smart data techniques, there is a great demand on processing the data generated, collected, and transferred in various kinds of computing environments. Today, the applications based on big data such as Deep Learning (DL) techniques have enabled many possibilities such as smart cities or smart lives. However, the novel challenges such as privacy issues of this smart data technique are also becoming more and more important. In this workshop, we aim to draw a broader vision on the privacy analytics and protection of smart data in various applications and environments.
The conference proceedings will be published by IEEE xplore to be indexed by EI Compendex, Web of Science, and Scopus.
Call for Papers
Topics of particular interest include, but are not limited to:
- Privacy of big data applications
- Privacy-preserving protection methods for smart data
- Novel smart data applications
- Smart data and smart computing
- Novel attack techniques for smart data applications
- Novel defense techniques for smart data applications
Submission
Submissions should include abstract, 5-10 keywords, and the e-mail address of the corresponding author and be in PDF format. Each submission should be in the IEEE 8.5 x 11 inches two-column format with 10-12 point font (Template: DOC or LaTeX), including tables, figures, and references.
Organization Commitees
- General Chair
- Meikang Qiu, Texas A&M University, USA
- Program Chair
- Cheng Zhang, Waseda University, Japan
- Technical Program Committee
- Han Qiu, Telecom Paris, France
- Weipeng Cao, Shenzhen University, China
- Petr Matousek, Brno University of Technology, Czechia
- Xiaofu He, Columbia University Medical Center, USA
- Junjie Peng, Shanghai University, China
- Qiang Wang, Southern University of Science and Technology, China
- Peng Gou, DNVGL Software, Norway
- Yongxin Zhu, Shanghai Jiaotong University, China
Contact
If you have any questions or queries on PAPSD 2022, please contact us via an email.
Email: han.qiu@telecom-paristech.fr
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