Reza Shokri

Reza Shokri is an assistant professor of Computer Science at the National University of Singapore. Prior to joining NUS, he was a researcher at Cornell. His research is on computational privacy. He has made many contributions to the filed of location privacy, where he designed algorithms to quantify and protect privacy for sharing location data. His current research focus is on privacy-preserving machine learning, and synthetic data release with differential privacy. He has received the Caspar Bowden Award for Outstanding Research in Privacy Enhancing Technologies 2018, for his research on evaluating the privacy risks of machine learning models. He was a runner up for the same award in 2012, for his research on quantifying location privacy. He received his PhD from EPFL.