The paper introduces into the methodology for disclosure limitation offered by the software package τ-ARGUS. Those methods have been applied to the data sets of a library of close-to-real-life test instances. The paper presents results of the tests, comparing the performance of the methods with respect to key issues such as practical applicability, information loss, and disclosure risk. Based on these results, the paper points out which of the alternative methods offered by the package is likely to perform best in a given situation. © Springer-Verlag 2004.
Giessing, S. (2004). Survey on methods for tabular data protection in argus. Lecture Notes in Computer Science (Including Subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 3050, 1–13. https://doi.org/10.1007/978-3-540-25955-8_1