Preservation of data privacy and protection of sensitive information from potential
adversaries constitute a key socio‐technical challenge in the modern era of ubiquitous …

Current information visualization techniques assume unrestricted access to data. However,
privacy protection is a key issue for a lot of real-world data analyses. Corporate data …

The proliferation of data in the past decade has created demand for innovative tools in
different areas of exploratory data analysis, like data mining and information visualization …

Sharing data for public usage requires sanitization to prevent sensitive information from
leaking. Previous studies have presented methods for creating privacy preserving …

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 …

In this paper, we reflect on the use of visualization techniques for analyzing electronic health
record data with privacy concerns. Privacy-preserving data visualization is a relatively new …

Data privacy is an essential issue in publishing data visualizations. However, it is
challenging to represent multiple data patterns in privacy-preserving visualizations. The …

The inconceivable ability and common practice to collect personal data as well as the power
of data‐driven approaches to businesses, services and security nowadays also introduce …

Smartphone users are often unaware of mobile applications'(“apps”) third-party data
collection and sharing practices, which put them at higher risk of privacy breaches. One way …

Increasingly, visualization practitioners are working with, using, and studying private and
sensitive data. There can be many stakeholders interested in the resulting analyses-but …