VerifyTL: Secure and Verifiable Collaborative Transfer Learning-Reference-Cited by-同舟云学术

VerifyTL: Secure and Verifiable Collaborative Transfer Learning

Author:

Ma Zhuoran¹^ORCID,Ma Jianfeng¹^ORCID,Miao Yinbin¹^ORCID,Liu Ximeng²^ORCID,Zheng Wei¹,Choo Kim-Kwang Raymond³^ORCID,Deng Robert H.⁴^ORCID

Affiliation:

1. School of Cyber Engineering, Xidian University, Xi’an, China

2. Key Laboratory of Information Security of Network Systems, College of Mathematics and Computer Science, Fuzhou University, Fuzhou, China

3. Department of Information Systems and Cyber Security, The University of Texas at San Antonio, San Antonio, TX, USA

4. School of Information Systems, Singapore Management University, Singapore

Funder

National Key Research and Development Program of China

Foundation for Innovative Research Groups of the National Natural Science Foundation of China

National Natural Science Foundation of China

Key R&D Program of Shaanxi Province

Cloud Technology Endowed Professorship

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Electrical and Electronic Engineering

Link

Reference57 articles.

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2. Learning multiple layers of features from tiny images;krizhevsky;Tech Rep,2009

3. Senate: A maliciously-secure MPC platform for collaborative analytics;poddar;Proc Usenix Secur Symp,2021