Improving data utility through game theory in personalized differential privacy

Cui, Lei, Qu, Youyang, Nosouhi, Mohammad Reza, Yu, Shui, Niu, Jian-Wei and Xie, Gang 2019, Improving data utility through game theory in personalized differential privacy, Journal of computer science and technology, vol. 34, no. 2, pp. 272-286, doi: 10.1007/s11390-019-1910-3.

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Title Improving data utility through game theory in personalized differential privacy
Author(s) Cui, Lei
Qu, YouyangORCID iD for Qu, Youyang orcid.org/0000-0002-2944-4647
Nosouhi, Mohammad Reza
Yu, ShuiORCID iD for Yu, Shui orcid.org/0000-0003-4485-6743
Niu, Jian-Wei
Xie, Gang
Journal name Journal of computer science and technology
Volume number 34
Issue number 2
Start page 272
End page 286
Total pages 15
Publisher Springer
Place of publication New York, N.Y.
Publication date 2019-03
ISSN 1000-9000
1860-4749
Keyword(s) Personalized privacy protection
Game theory
Trade-off
Reinforcement learning
Science & Technology
Technology
Computer Science, Hardware & Architecture
Computer Science, Software Engineering
Computer Science
Language eng
DOI 10.1007/s11390-019-1910-3
Field of Research 08 Information and Computing Sciences
HERDC Research category C1 Refereed article in a scholarly journal
Copyright notice ©2019, Springer Science+Business Media, LLC & Science Press, China
Persistent URL http://hdl.handle.net/10536/DRO/DU:30121046

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