Differentially private query learning: from data publishing to model publishing

Zhu, Tianqing, Xiong, Ping, Li, Gang, Zhou, Wanlei and Yu, Philip S 2017, Differentially private query learning: from data publishing to model publishing, in Big Data 2017 : Proceedings of the 2017 IEEE Interantional Conference on Big Data, Institute of Electrical and Electronics Engineers, Piscataway, N.J., pp. 1117-1122, doi: 10.1109/BigData.2017.8258037.

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Title Differentially private query learning: from data publishing to model publishing
Author(s) Zhu, TianqingORCID iD for Zhu, Tianqing orcid.org/0000-0003-3411-7947
Xiong, Ping
Li, GangORCID iD for Li, Gang orcid.org/0000-0003-1583-641X
Zhou, WanleiORCID iD for Zhou, Wanlei orcid.org/0000-0002-1680-2521
Yu, Philip S
Conference name IEEE Computer Society. Conference (5th : 2017 : Boston, Mass.)
Conference location Boston, Mass.
Conference dates 2017/12/11 - 2017/12/14
Title of proceedings Big Data 2017 : Proceedings of the 2017 IEEE Interantional Conference on Big Data
Editor(s) Nie, JY
Obradovic, Z
Suzumura, T
Ghosh, R
Nambiar, R
Wang, CG
Baeza-Yates, R
Zang, H
Hu, XH
Kepner, J
Cuzzocrea, A
Tang, J
Toyoda, M
Publication date 2017
Series IEEE Computer Society Conference
Start page 1117
End page 1122
Total pages 6
Publisher Institute of Electrical and Electronics Engineers
Place of publication Piscataway, N.J.
Keyword(s) Big Data
training
publishing
predictive models
sensitivity
data privacy
privacy
correlation
ISBN 978-1-5386-2715-0
Language eng
DOI 10.1109/BigData.2017.8258037
HERDC Research category E1 Full written paper - refereed
ERA Research output type E Conference publication
Copyright notice ©2017, IEEE
Persistent URL http://hdl.handle.net/10536/DRO/DU:30103762

Document type: Conference Paper
Collection: School of Information Technology
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