We are pleased to announce our latest publication, “SoK: Descriptive Statistics Under Local Differential Privacy”, which will be presented at PETS'25. This work provides a comprehensive survey and systematization of existing techniques for performing descriptive statistical analysis while preserving privacy under Local Differential Privacy (LDP).

Our study delves into the strengths and...

We’re excited to launch the new website for the Privacy Enhancing Technologies Group at the Vienna University of Technology! Explore our research, projects and events all in one place. Stay connected and discover the latest in Privacy Enhancing Technologies.

We are pleased to announce the publication of our paper Measuring Conditional Anonymity - A Global Study at PETS'24.

Our research examines the real-world effectiveness of pseudonymization in health applications, focusing on two major applications in 39 countries. Key findings show that users of a popular menstruation tracking app can be de-anonymized to groups of as few as five people in 97% of...