Ut Dallas Anonymization Toolbox

In an effort to promote our research in the area of privacy preserving data analysis, as UT Dallas Data Security and Privacy Lab, we complied our implementation of various anonymization methods into a toolbox for public use by researchers. This document explains basic information on how to invoke these anonymization methods (section 1), various features of our implementation of the methods (section 2 and detailed information for those that would like to extend the toolbox (section 3). An important design consideration during development of the toolbox has been possible memory issues due to large input sizes. In order to facilitate anonymization of arbitrarily large datasets, the toolbox works through an embedded database (SQLite [1]) to minimize memory requirements.