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Statistical Disclosure Risk: Separating Potential and Harm

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  • Chris Skinner

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Suggested Citation

  • Chris Skinner, 2012. "Statistical Disclosure Risk: Separating Potential and Harm," International Statistical Review, International Statistical Institute, vol. 80(3), pages 349-368, December.
  • Handle: RePEc:bla:istatr:v:80:y:2012:i:3:p:349-368
    DOI: j.1751-5823.2012.00194.x
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    File URL: http://hdl.handle.net/10.1111/j.1751-5823.2012.00194.x
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    Cited by:

    1. Joseph Ficek & Wei Wang & Henian Chen & Getachew Dagne & Ellen Daley, 2021. "A Survey of Differentially Private Regression for Clinical and Epidemiological Research," International Statistical Review, International Statistical Institute, vol. 89(1), pages 132-147, April.
    2. Ritchie, Felix, 2017. "Spontaneous recognition: an unnecessary control on data access?," Statistics Paper Series 24, European Central Bank.
    3. Ian Lundberg & Arvind Narayanan & Karen Levy & Matthew Salganik, 2018. "Privacy, ethics, and data access: A case study of the Fragile Families Challenge," Working Papers wp18-09-ff, Princeton University, School of Public and International Affairs, Center for Research on Child Wellbeing..

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