DRAPE: optimizing private data release under adjustable privacy-utility equilibrium-Reference-Cited by-同舟云学术

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DRAPE: optimizing private data release under adjustable privacy-utility equilibrium

Published:2022-10-02 Issue: Volume: Page:
ISSN:1385-951X
Container-title:Information Technology and Management
language:en
Short-container-title:Inf Technol Manag

Author:

Xiong Qingyue,Lan Qiujun,Ma Jiaqi,Zhou Huiling,Li Gang,Yang Zheng

Funder

National Natural Science Foundation of China

Science & Technology Innovation Leading Project of Hunan High-tech Industry

Natural Science Foundation of Hunan Province of China

Publisher

Springer Science and Business Media LLC

Subject

Business, Management and Accounting (miscellaneous),Communication,Information Systems

Link

https://link.springer.com/content/pdf/10.1007/s10799-022-00378-4.pdf

Reference39 articles.

1. Chen M, Mao S, Zhang Y, Leung VC et al (2014) Big data: related technologies, challenges and future prospects. vol. 96

2. Aggarwal CC, Philip SY (2008) A general survey of privacy-preserving data mining models and algorithms. Privacy-preserving data mining pp. 11–52

3. Zhu T, Li G, Zhou W, Philip SY (2017) Differentially private data publishing and analysis: a survey. IEEE Trans Knowl Data Eng 29(8):1619–1638

4. Xiao X, Tao Y, Koudas N (2010) Transparent anonymization: thwarting adversaries who know the algorithm. ACM Trans Database Syst 35(2):1–48

5. Cormode G, Srivastava D, Li N, Li T (2010) Minimizing minimality and maximizing utility: analyzing method-based attacks on anonymized data. Proceed VLDB Endowment 3(1–2):1045–1056

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