Privacy-Preserving Convolutional Neural Network Classification Scheme With Multiple Keys-Reference-Cited by-同舟云学术

Privacy-Preserving Convolutional Neural Network Classification Scheme With Multiple Keys

Author:

Wang Baocang¹^ORCID,Chen Yange²^ORCID,Li Furong³^ORCID,Song Jian⁴^ORCID,Lu Rongxing⁵^ORCID,Duan Pu⁶^ORCID,Tian Zhihong⁷^ORCID

Affiliation:

1. State Key Laboratory of Integrated Service Networks, Xidian University, Xi’an, China

2. School of Information Engineering, Xuchang University, Xuchang, China

3. 20th Research Institute of China Electronics Technology Group Corporation, Xi'an, China

4. Wireless and Computing Product R&D Institute, Zhongxing Telecommunications Equipment Corporation, Shenzhen, China

5. Faculty of Computer Science, University of New Brunswick, Fredericton, NB, Canada

6. Secure Collaborative Intelligence Laboratory, Ant Group, Zhejiang, China

7. Cyberspace Institute of Advanced Technology, Guangzhou University, Guangzhou, China

Funder

Natural Science Foundation of Henan Province

National Natural Science Foundation of China

Key Research and Development Projects of Shaanxi Province

China University Innovation Fund

Innovation Scientists and Technicians Troop Construction Projects of Henan Province

Henan International Joint Laboratory of Polarization Sensing and Intelligent Signal Processing

National College Students Innovation and Entrepreneurship Training Program

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Link

Reference46 articles.

2. Imagenet classification with deep convolutional neural networks;Krizhevsky

4. AtomNet: A deep convolutional neural network for bioactivity prediction in structure-based drug discovery;Wallach;Mathematische Zeitschrift,2015

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