Exponential mechanism

Results: 71



#Item
41The Application of Differential Privacy to Health Data Fida Kamal Dankar Khaled El Emam  CHEO Research Institute

The Application of Differential Privacy to Health Data Fida Kamal Dankar Khaled El Emam CHEO Research Institute

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Source URL: www.edbt.org

Language: English - Date: 2012-02-06 06:09:04
42Unconditional Differentially Private Mechanisms for Linear Queries Aditya Bhaskara Ravishankar Krishnaswamy  Kunal Talwar

Unconditional Differentially Private Mechanisms for Linear Queries Aditya Bhaskara Ravishankar Krishnaswamy Kunal Talwar

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Source URL: www.cs.cmu.edu

Language: English - Date: 2011-11-30 22:20:01
43Differentially Private Spatial Decompositions  arXiv:1103.5170v3 [cs.DB] 13 Mar 2012 Graham Cormode, Magda Procopiuc, Divesh Srivastava AT&T Labs–Research

Differentially Private Spatial Decompositions arXiv:1103.5170v3 [cs.DB] 13 Mar 2012 Graham Cormode, Magda Procopiuc, Divesh Srivastava AT&T Labs–Research

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Source URL: arxiv.org

Language: English - Date: 2012-03-13 22:22:10
44The Large Margin Mechanism for Differentially Private Maximization Kamalika Chaudhuri1 , Daniel Hsu2 , and Shuang Song1 arXiv:1409.2177v1 [cs.LG] 7 Sep 2014

The Large Margin Mechanism for Differentially Private Maximization Kamalika Chaudhuri1 , Daniel Hsu2 , and Shuang Song1 arXiv:1409.2177v1 [cs.LG] 7 Sep 2014

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Source URL: www.cs.columbia.edu

Language: English - Date: 2015-01-08 18:02:09
45A Dip in the Reservoir: Maintaining Sample Synopses of Evolving Datasets Rainer Gemulla Wolfgang Lehner

A Dip in the Reservoir: Maintaining Sample Synopses of Evolving Datasets Rainer Gemulla Wolfgang Lehner

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Source URL: dws.informatik.uni-mannheim.de

Language: English - Date: 2014-09-29 11:40:17
46A Firm Foundation for Private Data Analysis Cynthia Dwork Microsoft Research [removed]

A Firm Foundation for Private Data Analysis Cynthia Dwork Microsoft Research [removed]

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Source URL: research.microsoft.com

Language: English - Date: 2010-09-10 13:58:55
47Differential Privacy: An Economic Method for Choosing Epsilon Justin Hsu∗ Marco Gaboardi†  Arjun Narayan∗

Differential Privacy: An Economic Method for Choosing Epsilon Justin Hsu∗ Marco Gaboardi† Arjun Narayan∗

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Source URL: www.cis.upenn.edu

Language: English - Date: 2014-07-25 13:02:33
48JMLR: Workshop and Conference Proceedings vol[removed]–32  24th Annual Conference on Learning Theory Sample Complexity Bounds for Differentially Private Learning

JMLR: Workshop and Conference Proceedings vol[removed]–32 24th Annual Conference on Learning Theory Sample Complexity Bounds for Differentially Private Learning

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Source URL: www.cs.columbia.edu

Language: English - Date: 2014-11-25 10:45:21
49Convergence Rates for Differentially Private Statistical Estimation  Kamalika Chaudhuri University of California, San Diego, La Jolla, CA[removed]removed]

Convergence Rates for Differentially Private Statistical Estimation Kamalika Chaudhuri University of California, San Diego, La Jolla, CA[removed]removed]

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Source URL: www.cs.columbia.edu

Language: English - Date: 2014-11-25 10:45:21
50GUPT: Privacy Preserving Data Analysis Made Easy Prashanth Mohan UC Berkeley Abhradeep Thakurta∗

GUPT: Privacy Preserving Data Analysis Made Easy Prashanth Mohan UC Berkeley Abhradeep Thakurta∗

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Source URL: www.cs.umd.edu

Language: English - Date: 2012-05-12 06:30:32