Global Combination and Clustering Based Differential Privacy Mixed Data Publishing-Reference-Cited by-同舟云学术

Global Combination and Clustering Based Differential Privacy Mixed Data Publishing

Published:2023-11-01 Issue:11 Volume:35 Page:11437-11448
ISSN:1041-4347
Container-title:IEEE Transactions on Knowledge and Data Engineering
language:
Short-container-title:IEEE Trans. Knowl. Data Eng.

Author:

Chen Lanxiang¹^ORCID,Zeng Lingfang²^ORCID,Mu Yi³^ORCID,Chen Leilei⁴

Affiliation:

1. College of Computer and Cyber Security, Fujian Provincial Key Laboratory of Network Security and Cryptology, Fujian Normal University, Fuzhou, China

2. Zhejiang Lab, Hangzhou, China

3. Faculty of Data Science, City University of Macau, Macao, China

4. College of Computer and Cyber Security, Fujian Normal University, Fuzhou, China

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Computational Theory and Mathematics,Computer Science Applications,Information Systems

Link

http://xplorestaging.ieee.org/ielx7/69/10273671/10018869.pdf?arnumber=10018869

Reference35 articles.

1. Privacy integrated queries

2. Differentially private data release for data mining

3. Mechanism Design via Differential Privacy

4. Cross-Bucket Generalization for Information and Privacy Preservation

5. Differentially Private K-Means Clustering

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