Confidentiality, Disclosure and Data Access: Theory and Practical Applications for Statistical Agencies

By P. Doyle, Julia I. Lane, J. Theeuwes, L. Zayatz. 2001

404 citations recorded by the source corpus.

View Paper: https://www.semanticscholar.org/paper/5410ed2d7ae22fd12f4105ad28938337c52ce717

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Citations in the corpus

Ordinal, Continuous and Heterogeneous k-Anonymity Through Microaggregation (2005, methodology): “…by the total number of cells in all considered tables; • EBIL: Entropy-based information loss, measuring the reduction of uncertainty (e.g. information) in the protected categorical attributes with respect to the original attributes); this corresponds to EBILMF in Domingo-Ferrer and Torra (2001b).”
Releasing multiply imputed, synthetic public use microdata: an illustration and empirical study (2005, methodology): “Kennickell (1997), Abowd and Woodcock (2001) and Liu and Little (2002) investigated a variant of the approach: release the units that are originally surveyed but replace some of these units’ data with multiple imputations.”
Secure Regression on Distributed Databases (2005, unknown): “2.2–2.4).”
Privacy-Preserving Analysis of Vertically Partitioned Data Using Secure Matrix Products (2009, unknown): “…to the confidentiality of data records or the privacy of individual data subjects, the traditional focus of statistical disclosure limitation (Doyle et al. 2001; Willenborg and de Waal 2001), arising from either computation of the full data covariance matrix or use of it to perform analyses…”
Machine Learning and Decision Support in Critical Care (2016, background): “Selecting the optimal balance between providing useful statistical data from data and ensuring the privacy of individuals—so-called “statistical disclosure control”—has been a heavily researched area [15].”
Information security and privacy in healthcare: current state of research (2010, background): “Truta et al. (2003b) propose modifications to information loss measures presented in Domingo-Ferrer and Torra (2001) taking into account the peculiarity of health data.”
International handbook of survey methodology. (2008, background): “DuMouchel and Duncan (1983) also discuss the alternatives and develop a test for the ignorability of weights in regression analysis that can be easily applied.”
Privacy-preserving data publishing: A survey of recent developments (2010, methodology): “There are some decent surveys [Adam and Wortman 1989; Domingo-Ferrer 2001; Moore 1996; Zayatz 2007] in the statistics community.”