Abstract
Minimum distance controlled tabular adjustment (CTA) is a perturbative technique of statistical disclosure control for tabular data. Given a table to be protected, CTA looks for the closest safe table by solving an optimization problem using some particular distance in the objective function. CTA has shown to exhibit a low disclosure risk. The purpose of this work is to show that CTA also provides a low information loss, focusing on two-way tables. Computational results on a set of midsize tables validate this statement.
Supported by grants MTM2012-31440 of the Spanish Ministry of Economy and Competitiveness, SGR-2014-542 of the Government of Catalonia, and DwB INFRA-2010-262608 of the FP7 European Union Program.
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Castro, J., González, J.A. (2014). Assessing the Information Loss of Controlled Adjustment Methods in Two-Way Tables. In: Domingo-Ferrer, J. (eds) Privacy in Statistical Databases. PSD 2014. Lecture Notes in Computer Science, vol 8744. Springer, Cham. https://doi.org/10.1007/978-3-319-11257-2_2
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DOI: https://doi.org/10.1007/978-3-319-11257-2_2
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