Embedding differential privacy in decision tree algorithm with different depths-Reference-Cited by-同舟云学术

Embedding differential privacy in decision tree algorithm with different depths

Published:2017-07-06 Issue:8 Volume:60 Page:
ISSN:1674-733X
Container-title:Science China Information Sciences
language:en
Short-container-title:Sci. China Inf. Sci.

Author:

Bai Xuanyu,Yao Jianguo,Yuan Mingxuan,Deng Ke,Xie Xike,Guan Haibing

Publisher

Springer Science and Business Media LLC

Subject

General Computer Science

Link

http://link.springer.com/content/pdf/10.1007/s11432-016-0442-1.pdf

Reference25 articles.

1. Dwork C. Differential privacy. In: Proceedings of the 33rd International Colloquium on Automata, Languages and Programming, Venice, 2006. 1–12

2. Sweeney L. Achieving k-anonymity privacy protection using generalization and suppression. Int J Uncertain Fuzz, 2002, 10: 571–588

3. Domingo-Ferrer J, Torra V. A critique of k-anonymity and some of its enhancements. In: Proceedings of the 3rd International Conference on Availability, Reliability and Security. Washington, DC: IEEE, 2008. 990–993

4. Hu X Y, Yuan M Y, Yao J G, et al. Differential privacy in telco big data platform. In: Proceedings of the 41st International Conference on Very Large Data Bases Endowment, Kohala Coast, 2015. 1692–1703

5. McSherry F D. Privacy integrated queries: an extensible platform for privacy-preserving data analysis. In: Proceedings of the 2009 ACM SIGMOD International Conference on Management of Data, Rhode Island, 2009. 19–30

Cited by 10 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Artistic expression and data protection: Balancing aesthetics with data privacy in IoT;Heliyon;2023-09

2. Differentially private tree-based redescription mining;Data Mining and Knowledge Discovery;2023-04-16

3. Differentially Private Triangle Counting in Large Graphs;IEEE Transactions on Knowledge and Data Engineering;2022-11-01

4. Utility-Prioritized Differential Privacy for Quantitative Biomedical Data;Journal of Circuits, Systems and Computers;2022-06-02

5. Defending CNN against privacy leakage in edge computing via binary neural networks;Future Generation Computer Systems;2021-12