2017 · 57 citations · 16 references
Health ProfessionsEmployment LawLabor LawData ManagementRelease Of InformationStatisticsData ConfidentialityData PrivacyData ProtectionDisclosure ProtectionPrivacy LawPrivacy ProtectionCost-utility RatioEmployee Data PrivacyEmployee PrivacyHuman Resource Data PrivacyPrivate Information DisclosureStatistical Disclosure LimitationTabular Data ProtectionUtility Cost Estimation
National statistical agencies around the world publish tabular summaries based on combined employer-employee (ER-EE) data. The privacy of both individuals and business establishments that feature in these data are protected by law in most countries. These data are currently released using a variety of statistical disclosure limitation (SDL) techniques that do not reveal the exact characteristics of particular employers and employees, but lack provable privacy guarantees limiting inferential disclosures.
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L-diversity: privacy beyond k-anonymity
Ashwin Machanavajjhala, Johannes Gehrke, Daniel Kifer et al. · 2006 · 2.4K citations
Miguel E. Andrés, Nicolás E. Bordenabe, Konstantinos Chatzikokolakis et al. · 2013 · 1K citations · Full text
Computing, Cybersecurity, Geographic Information Systems +10
Smooth sensitivity and sampling in private data analysis
Kobbi Nissim, Sofya Raskhodnikova, Adam Smith · 2007 · 1K citations
Daniel Kifer, Ashwin Machanavajjhala · 2011 · 626 citations
Privacy: Theory meets Practice on the Map
Ashwin Machanavajjhala, Daniel Kifer, John M. Abowd et al. · 2008 · 434 citations