CLOSED Call for Papers: Special Issue on Security and Privacy of Deep-Learning-as-a-Service (DLaaS) Computing Systems
IEEE Transactions on Computers seeks original manuscripts for a special issue on "Security and Privacy of Deep-Learning-as-a-Service (DLaaS) Computing Systems," scheduled to appear in 2021.
Deep Learning (DL) as a Service (DLaaS) has become the current trend for end-users or small enterprises for using DL techniques by purchasing computing services from IT corporations. Such a solution has effectively reduced the cost of DL training and DL inference by combining heterogeneous computing models with the specific hardware and system for DL algorithms. Challenging security issues are also introduced, including security issues on dedicated hardware of DLaaS, such as GPGPU, TPU, and ASIC; security and privacy issues on systems or algorithms of DLaaS, such as neural networks, online inferencing, and differential privacy; and special use cases of deploying DLaaS, such as IoT, edge computing, and mobile clouds.
For this special issue, we expect contributions in security and privacy research problems specific to DLaaS computing systems. Topics of interest include, but are not limited to:
- Differential Privacy Attack and Defense in DLaaS Systems
- Secure Deep Learning in Cloud Computing, IoT, Edge Computing, and Mobile Cloud Computing
- Attack and Defense Methods on Backdoor Attacks in DLaaS Systems
- Attack and Defense on Adversarial Examples in DLaaS Systems
- Hardware-Level Attack and Defense in DLaaS Systems
- Energy-Oriented Attack and Defense in DLaaS Systems
- Data-Centric Security in DLaaS Systems
- Other Attack and Defense on Systems, Models, and Data Sets in DLaaS Systems
Guest Editors
Please address all correspondence regarding this special issue to Lead Guest Editor Meikang Qiu (qiumeikang@yahoo.com).- Prof. Meikang Qiu (Lead), Texas A&M University, Commerce, USA
- Prof. Bhavani Thuraisingham, University of Texas at Dallas, USA
- Prof. Sun-Yuan Kung, Princeton University, USA
- Prof. Elisa Bertino, Purdue University, USA
Coordinating Topical Editor (CTE)
Prof. Hong Jiang, University of Texas at Arlington, USA (hong.jiang@uta.edu)Review Committee
Zakirul Alam Bhuiyan, Fordham University Weipeng Cao, Shenzhen University Barbara Carminati, University of Insubria Feng Chen, University of Texas at Dallas Chris Clifton, Purdue University Mian Xiong Dong, Muroran Institute of Technology Mohammad Mehedi Hassan, King Saud University Karuna Joshi, University of Maryland Baltimore Murat Kantarcioglu, University of Texas at Dallas Laifur Khan, University of Texas at Dallas Yibin Li, Shandong University Siqi Ma, University of Queensland Han Qiu, Telecom Paris tech Anna Squicciarini, Pennsylvania State University Rakesh Verma, University of Houston Yulei Wu, University of Exeter Peng Zhang, SUNY Stonybrook Cheng Zhang, Waseda University Yongxin Zhu, Shanghai Advanced Research Institute Shui Yu, University of Technology Sydney M. Shamim Hossain, King Saud University Zongming Fei, University of Kentucky Peng Li, Aizu Univeristy, Japan Suhua Tang, University of Electro-Communications, Japan Baijian Yang, Purdue University, USA Zhi Liu, Shizuoka University, Japan Yoshihiko Hayashi, Waseda University, Japan Haibo Zhang, University of Otago, New Zealand Gerard Memmi, Telecom Paris, France Linghe Kong, Shanghai Jiao Tong University, China Xuyun Zhang, University of Auckland, New Zealand Alireza Jolfaei, Macquarie University, Australia
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