Guess me if you can: A visual uncertainty model for transparent evaluation of disclosure risks in privacy-preserving data visualization

Aritra Dasgupta, Robert Kosara, Min Chen

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

Minimization of disclosure risks is a key challenge in publicly available visualizations that can potentially reveal personal information. Such risks are inherently dependent on the amount of information that adversaries can gain by manipulating visual representations and by using their background knowledge. Conventional risk quantification models proposed in the field of privacy-preserving data mining suffer from a lack of transparency in letting data owners control privacy parameters and understand their implications for disclosure risks. To fill this gap, we propose a visual uncertainty model for letting data owners understand the relationships between privacy parameters and vulnerable visualization configurations. Our main contribution is a probabilistic analysis of the disclosure risks associated with vulnerabilities in privacy-preserving parallel coordinates and scatter plots. We quantify the relationship among attack scenarios, adversarial knowledge, and the inherent uncertainty in cluster-based visualizations that can act as defense mechanisms. We present examples and a case study to demonstrate the effectiveness of the model.

Original languageEnglish (US)
Title of host publication2019 IEEE Symposium on Visualization for Cyber Security, VizSec 2019
EditorsRobert Gove, Dustin Arendt, Jorn Kohlhammer, Marco Angelini, Celeste Lyn Paul, Chris Bryan, Sean McKenna, Nicolas Prigent, Parnian Najafi, Awalin Sopan
PublisherInstitute of Electrical and Electronics Engineers Inc.
ISBN (Electronic)9781728138763
DOIs
StatePublished - Oct 2019
Externally publishedYes
Event2019 IEEE Symposium on Visualization for Cyber Security, VizSec 2019 - Vancouver, Canada
Duration: Oct 23 2019Oct 23 2019

Publication series

Name2019 IEEE Symposium on Visualization for Cyber Security, VizSec 2019

Conference

Conference2019 IEEE Symposium on Visualization for Cyber Security, VizSec 2019
Country/TerritoryCanada
CityVancouver
Period10/23/1910/23/19

All Science Journal Classification (ASJC) codes

  • Computer Networks and Communications
  • Information Systems and Management
  • Safety, Risk, Reliability and Quality
  • Media Technology

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