




Mission: Bringing Privacy Back to the People
Making the users of online systems "privacy-aware" is a long-standing challenge. In our group, we addresses this challenge by investigating two central research questions: How can we design more intuitive interfaces that automatically present privacy notices and control to the users? Moreover, how to develop privacy controls that satisfy theoretical privacy guarantees for the release of users' data?
Led by Prof. Kassem Fawaz




We investigate both the privacy implications of AI systems and how AI can be used to improve security and privacy tooling.
We study how privacy and security concerns arise in real-world systems, mobile platforms, AI, and authentication systems.
We focus on human-centered security and privacy, understanding how users perceive risks and how to design usable protections for robotics and mobile platforms.
We use differential privacy and statistical techniques to design rigorous guarantees for data protection and privacy.