HyObscure: Hybrid Obscuring for Privacy-Preserving Data Publishing-Reference-Cited by-同舟云学术

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HyObscure: Hybrid Obscuring for Privacy-Preserving Data Publishing

Published:2023 Issue: Volume: Page:1-13
ISSN:1041-4347
Container-title:IEEE Transactions on Knowledge and Data Engineering
language:
Short-container-title:IEEE Trans. Knowl. Data Eng.

Author:

Han Xiao¹^ORCID,Yang Yuncong¹^ORCID,Wu Junjie²^ORCID,Xiong Hui³^ORCID

Affiliation:

1. Shanghai University of Finance and Economics, 777 Guoding Road, Shanghai, China

2. Key Laboratory of Data Intelligence and Management (Beihang University), Ministry of Industry and Information Technology, and with School of Economics and Management, Beihang University, Beijing, China

3. Thrust of Artificial Intelligence China, and with Guangzhou HKUST Fok Ying Tung Research Institute, HKUST, Guangzhou, China

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Computational Theory and Mathematics,Computer Science Applications,Information Systems

Link

http://xplorestaging.ieee.org/ielx7/69/4358933/10313996.pdf?arnumber=10313996

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