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Statistical disclosure control

Statistical Disclosure Control (SDC) is a technique used in data-driven research to ensure no person or organisation is identifiable from the results… 
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Related topics

Related topics

4 relations
Data anonymizationDe-anonymizationDe-identification

Broader (1)

Privacy

Papers overview

Semantic Scholar uses AI to extract papers important to this topic.
2018
2018
The future of statistical disclosure control
Statistical disclosure control (SDC) was not created in a single seminal paper nor following the invention of a new mathematical… 
Highly Cited
2015
Highly Cited
2015
Putting Statistical Disclosure Control into Practice: The ARX Data Anonymization Tool
The sharing of sensitive personal data has become a core element of biomedical research. To protect privacy, a broad spectrum of… 
Highly Cited
2012
Highly Cited
2012
Statistical Disclosure Control: Hundepool/Statistical Disclosure Control
Review
2011
Review
2011
Data confidentiality: A review of methods for statistical disclosure limitation and methods for assessing privacy
There is an ever increasing demand from researchers for access to useful microdata files. However, there are also growing… 
Review
2008
Review
2008
Statistical Disclosure Control for Microdata Using the R-Package sdcMicro
The demand for data from surveys, censuses or registers containing sensible information on people or enterprises has increased… 
Review
2008
Review
2008
Statistical Databases
Introduction Statistical databases are databases containing statistical information. Such databases are normally released by… 
Highly Cited
2008
Highly Cited
2008
A polynomial-time approximation to optimal multivariate microaggregation
Highly Cited
2007
Highly Cited
2007
Multiple imputation: an alternative to top coding for statistical disclosure control
Summary.  Top coding of extreme values of variables like income is a common method of statistical disclosure control, but it… 
Highly Cited
2005
Highly Cited
2005
Probabilistic Information Loss Measures in Confidentiality Protection of Continuous Microdata
Inference control for protecting the privacy of microdata (individual data) should try to optimize the tradeoff between data… 
Highly Cited
2005
Highly Cited
2005
Ordinal, Continuous and Heterogeneous k-Anonymity Through Microaggregation
Abstractk-Anonymity is a useful concept to solve the tension between data utility and respondent privacy in individual data… 
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