Efficient and Secure Deep Learning Inference in Trusted Processor Enabled Edge Clouds-Reference-Cited by-同舟云学术

Efficient and Secure Deep Learning Inference in Trusted Processor Enabled Edge Clouds

Author:

Li Yuepeng¹^ORCID,Zeng Deze¹^ORCID,Gu Lin²^ORCID,Chen Quan³^ORCID,Guo Song⁴^ORCID,Zomaya Albert⁵^ORCID,Guo Minyi³

Affiliation:

1. School of Computer Science, Hubei Key Laboratory of Intelligent Geo-Information Processing, China University of Geosciences, Wuhan, China

2. School of Computer Science and Technology, Huazhong University of Science and Technology, Wuhan, Hubei, China

3. Department of Computer Science and Engineering, Shanghai Jiao Tong University, Shanghai, China

4. Department of Computing, The Hong Kong Polytechnic University, Hung Hom, Hong Kong

5. School of Computer Science, The University of Sydney, Camperdown, NSW, Australia

Funder

National Natural Science Foundation of China

Open Research Projects of Zhejiang Lab

Key-Area Research and Development Program of Guangdong Province

Hong Kong RGC Research Impact Fund

General Research Fund

Shenzhen Science and Technology Innovation Commission

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Computational Theory and Mathematics,Hardware and Architecture,Signal Processing

Link

Reference45 articles.

2. Intel SGX explained;costan;IACR Cryptol ePrint Arch,2016

4. Inferring fine-grained control flow inside SGX enclaves with branch shadowing;lee;Proc Usenix Secur Symp,2017

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