Reza Shokri
Also known as rzshokri
Reza Shokri is a computer scientist whose research on data privacy and trustworthy machine learning showed how models can leak information about their training data. He completed a PhD at EPFL in 2013, wrote Privacy-Preserving Deep Learning with Vitaly Shmatikov in 2015, and received the 2018 Caspar Bowden Award for the paper Membership Inference Attacks against Machine Learning Models. His research also produced Privacy Meter, an open-source tool for evaluating privacy risks in machine learning, and he received the IEEE Security and Privacy Test-of-Time Award in 2021, the Asian Young Scientist Fellowship in 2023 and the ACM CCS Test-of-Time Award in 2025. He is a Dean's Chair Associate Professor of computer science at the National University of Singapore and a research scientist at Google Research.
Timeline
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2011–2013
Location privacy at EPFL
In 2011, he and co-authors George Theodorakopoulos, Jean-Yves Le Boudec and Jean-Pierre Hubaux first present Quantifying Location Privacy at the IEEE Symposium on Security and Privacy. He completes his PhD at EPFL in 2013 with a thesis titled Quantifying and Protecting Location Privacy.
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2015
Privacy-preserving deep learning
In 2015, he and Vitaly Shmatikov publish Privacy-Preserving Deep Learning, a method that lets several parties train a model together by exchanging only privacy-preserving, norm-bounded model updates while their raw data stays with them. He calls the idea "sharing without sharing".
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2016–2018
Membership inference attacks
In October 2016, he posts Membership Inference Attacks against Machine Learning Models on arXiv with Marco Stronati, Congzheng Song and Vitaly Shmatikov. The paper shows how to determine whether a data record was in a model's training dataset given black-box access to the model, and tests the attack on machine learning as a service platforms from Google and Amazon. In July 2018, as an assistant professor of computer science at NUS, he receives the Caspar Bowden Award for Outstanding Research in Privacy Enhancing Technologies for this work.
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2020–2021
IEEE S&P Test-of-Time Award
In December 2020, the Private AI Collaborative Research Institute selects him to research heterogeneous decentralised learning. In 2021, he and his co-authors win the IEEE Security and Privacy Test-of-Time Award for Quantifying Location Privacy, which presents a formal framework for quantifying the privacy risks of sharing location data.
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2023
Asian Young Scientist Fellowship
As an NUS Presidential Young Professor, he is one of the inaugural recipients of the Asian Young Scientist Fellowship in 2023, and his work on fairness in machine learning wins the Best Paper Award at ACM FAccT 2023. His research also produces Privacy Meter, an open-source tool for evaluating privacy risks in machine learning.
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2023–2025
Privacy of language models
He spends 2023–2024 as a visiting research professor at Microsoft. His papers on language models include Can LLMs Keep a Secret?, an ICLR 2024 paper written with Niloofar Mireshghallah, Yejin Choi and others, and The Canary's Echo, a 2025 paper on auditing privacy risks of LLM-generated synthetic text.
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2025
ACM CCS Test-of-Time Award
In 2025, he wins the ACM CCS Test-of-Time Award for Privacy-Preserving Deep Learning, the 2015 paper he wrote with Vitaly Shmatikov. The award recognises a paper that has inspired advances in federated learning and privacy standards across healthcare, finance and mobile applications.
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As of October 2026
Google Research and NUS
He is a research scientist at Google Research and a Dean's Chair Associate Professor of computer science at NUS, where his research focuses on data privacy and trustworthy machine learning.
Career
- NowNational University of SingaporeAssistant Professor of Computer Science
- NowGoogle ResearchResearch Scientist
- 2023–2024MicrosoftVisiting Research Professor
- From 2020Private AI Collaborative Research InstituteResearcher
Education
- 2013EPFLPhD
Sources and credits
Photo: We have no published photo of Reza Shokri yet. Send us a free-licensed photo.
- Reza SHOKRI
- Dr. Reza Shokri and co-authors win IEEE Security and Privacy Test-of-Time Award - NUS Computing
- Professor Reza Shokri Honoured with ACM CCS Test-of-Time Award for Pioneering Privacy-Preserving Modern AI - NUS Computing
- [1610.05820] Membership Inference Attacks against Machine Learning Models
- Asst Prof Reza Shokri recognised for privacy enhancing research
- NUS Presidential Young Professor of Computer Science Reza Shokri joins Private AI Collaborative Research Institute - NUS Computing
- National University of Singapore's Professor Reza Shokri Receives Prestigious Asian Young Scientist Fellowship - NUS Computing
- Tracing Data in AI: Auditing Data Privacy with Membership Inference | trustml.ubc.ca
- Reza Shokri | alphaXiv
- Reza SHOKRI - NUS Computing


