k-jump: A strategy to design publicly-known algorithms for privacy preserving micro-data disclosure
Author:
Affiliation:
1. Concordia University, Montreal, QC, Canada. E-mails: l_wenmin@ciise.concordia.ca, wang@ciise.concordia.ca
2. Google Inc., New York, NY, USA. E-mail: leo.zhang@gmail.com
3. Xiamen University of Technology, Xiamen, China. E-mail: szzhu@xmut.edu.cn
Publisher
IOS Press
Subject
Computer Networks and Communications,Hardware and Architecture,Safety, Risk, Reliability and Quality,Software
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4. Micro-views, or on how to protect privacy while enhancing data usability: concepts and challenges;Byun;SIGMOD Record,2006
5. [7]S. Chawla, C. Dwork, F. McSherry, A. Smith and H. Wee, Toward privacy in public databases, in: Theory of Cryptography Conference, 2005.
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2. Data Publishing: Trading Off Privacy with Utility Through the k-Jump Strategy;Advances in Information Security;2016
3. Introduction;Advances in Information Security;2016
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