A Stationary Random Process Based Privacy-Utility Tradeoff in Differential Privacy-Reference-Cited by-同舟云学术

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A Stationary Random Process Based Privacy-Utility Tradeoff in Differential Privacy

Published:2023-12-06 Issue: Volume:9985 Page:178-185
ISSN:
Container-title:2023 International Conference on High Performance Big Data and Intelligent Systems (HDIS)
language:
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Author:

Yan Hongmiao¹,Yao Lin²,Wang Yun³,Zhong Xiaoxiong⁴,Zhao Junsuo⁵

Affiliation:

1. School of Software, Dalian University of Technology,Dalian,China

2. DUT-RU International School of Information Science & Engineering, Dalian University of Technology,Dalian,China

3. The 10th Research Institute China,Electronics Technology Group Corporation,Chengdu,China

4. Peng Cheng Laboratory,Shenzhen,China

5. Institute of Software,Chinese Academy of Sciences,Beijing,China

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10499438/10499451/10499595.pdf?arnumber=10499595

Reference28 articles.

1. k-ANONYMITY: A MODEL FOR PROTECTING PRIVACY

2. L-diversity: privacy beyond k-anonymity

3. t-Closeness: Privacy Beyond k-Anonymity and l-Diversity

4. Calibrating Noise to Sensitivity in Private Data Analysis

5. Locally differentially private protocols for frequency estimation;Wang,2017

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