Robert Kosara and his student Aritra Dasgupta are presenting a paper next week at InfoVis on something most people would consider contrary to classic Vis: How to obscure information.

The point of visualization is usually to reveal as much of the structure of a dataset as possible. But what if the data is sensitive or proprietary, and the person doing the analysis is not supposed to be able to know everything about it? In a paper to be presented next week at InfoVis, my Ph.D. student Aritra Dasgupta and I describe the issues involved in privacy-preserving visualization, and propose a variation of parallel coordinates that controls the amount of information shown to the user.

via Paper: Privacy-Preserving Visualization | eagereyes.