Reza SHOKRI
Dean's Chair Associate Professor- PhD. (Computer Science, EPFL)
Reza Shokri is an Asian Young Scientist Fellow and a NUS Presidential Young Professor of Computer Science. His research focuses on data privacy and trustworthy machine learning. He is a recipient of the IEEE Security and Privacy (S&P) Test-of-Time Award 2021, for his paper on quantifying location privacy. He received the Caspar Bowden Award for Outstanding Research in Privacy Enhancing Technologies in 2018, for his work on analyzing the privacy risks of machine learning models. He received the NUS Early Career Research Award 2019, VMWare Early Career Faculty Award 2021, Facebook (Meta) Faculty Research Award 2021, Intel Faculty Research Award (Private AI Collaborative Research Institute) 2021, and Asian Young Scientist Fellowship 2023. He obtained his PhD from EPFL.
RESEARCH AREAS
RESEARCH INTERESTS
Data Privacy
Trustworthy Machine Learning
RESEARCH PROJECTS
Analytical Framework to Quantify Information Leakage and Memorization in Machine Learning
Machine learning models can "memorize" specific data points from their training data, impacting their predictions and potentially leaking sensitive information. This project aims to understand how this memorization affects models and develop methods to mitigate it.
RESEARCH GROUPS
TEACHING INNOVATIONS
SELECTED PUBLICATIONS
AWARDS & HONOURS
Asian Young Scientist Fellowship 2023
Intel's 2023 Outstanding Researcher Award
Best Paper Award at ACM Conference on Fairness, Accountability, and Transparency (FAccT) 2023
NUS School of Computing Faculty Teaching Excellence Award 2023
IEEE Security and Privacy (S&P) Test-of-Time Award 2021 (Quantifying Location Privacy)
Facebook (Meta) Faculty Research Award 2021 (Auditing Data Privacy in Machine Learning)
VMWare Early Career Faculty Award 2021 (Data Privacy and Trustworthy Machine Learning)
Intel Faculty Research Award 2021 (Privacy-Preserving Federated Learning - Private AI Research Institute)
Runner-up for the annual PET Award for Outstanding Research in Privacy Enhancing Technologies 2012 (Quantifying Location Privacy)
NUS Early Career Research Award 2019 (Trustworthy Machine Learning for High-Dimensional Models)
NUS Presidential Young Professorship 2019 (Privacy in Machine Learning)
The Caspar Bowden Award for Outstanding Research in Privacy Enhancing Technologies 2018 (Privacy Risks of Machine Learning Models)
COURSES TAUGHT
CS6208
Advanced Topics in Artificial Intelligence