Measuring and Protecting User Privacy

Members and Collaborators


User privacy is exposed to many risks, from unintentional and unwanted data sharing to data collection without user consent. Our research seeks to measure privacy risks and prevent them by developing better user control over their data


Critter@home is a project to connect researchers to content-rich data from anonymous Internet end-users. Our goal is to facilitate the safe sharing of data and provide a platform for end-users to contribute data and be part of the research process.

Measuring Venmo Privacy Risks

Venmo online payment platform makes user data public by default. In this project we measured the risks this poses to users and how user behavior adapts to lower these risks.

Privacy-Safe Data Sharing

In this research we looked into privacy-safe data queries. Such queries are analyzed and data is aggregated to enforce strong k-anonymity.


This material is based upon work supported by the National Science Foundation under grant #1319215 and #1815495, and by the Science and Technology Directorate of the United States Department of Homeland Security under contract number D15PC00184. Any opinions, findings, and conclusions or recommendations expressed in this material are those of the authors and do not necessarily reflect the views of the National Science Foundation nor the Department of Homeland Security.