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Aritra Dasgupta, Min Chen and Robert Kosara Measuring Privacy and Utility in Privacy-Preserving Visualization Computer Graphics Forum 32

Version of Record online: 5 JUL 2013 | DOI: 10.1111/cgf.12142

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In previous work, we proposed a technique for preserving the privacy of quasi-identifiers in sensitive data when visualized using parallel coordinates. This paper builds on that work by introducing a number of metrics that can be used to assess both the level of privacy and the amount of utility that can be gained from the resulting visualizations. We also generalize our approach beyond parallel coordinates to scatter plots and other visualization techniques.

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