Unifying Speaker Monika Henzinger
Monika Henzinger is a professor of Computer Science at the Institute of Science and Technology Austria (ISTA). She holds a PhD in computer science from Princeton University. She was an assistant professor at Cornell University, a member of technical staff at the DEC Systems Research Center, the director of research at Google, and a professor of computer science at EPFL and at the University of Vienna. Monika is an ACM and EATCS Fellow and a member of the Austrian Academy of Sciences and the German National Academy of Sciences (Leopoldina). She has received an honorary doctorate from the Technical University of Dortmund, two Advanced Grants of the European Research Council, the Carus Medal of the Leopoldina, and the Wittgenstein Award of the Austrian Science Fund.
Talk
Guarding Privacy Over Time: Challenges and Solutions in Continuous Data Observation
April 15, 9-10am
Room: TBA
In today’s world, where data is constantly being collected, safeguarding individual privacy in ever-changing environments has become more important than ever. This talk will focus on differential privacy in settings where data is continuously observed and updated over time. Unlike static environments, continuous observation presents unique challenges, such as the risk of cumulative privacy loss and the potential for adversaries to make inferences from correlated data outputs. We will explore the foundational principles of differential privacy and discuss how these concepts apply in dynamic, real-time data streams. In particular, we’ll cover new composition theorems for ongoing updates, while highlighting key techniques and the trade-offs involved in preserving privacy over extended periods.