My research is in computer security and privacy. More specifically, I am interested in designing inference algorithms to quantify information leakage of a system about its sensitive inputs. I also design privacy-preserving mechanisms to mitigate the risks of such inference attacks. My current focus is on machine learning and data privacy.

I have multiple open positions for postdocs, PhD students, and interns.

Milad Nasr, Reza Shokri, and Amir Houmansadr
➙ Machine Learning with Membership Privacy using Adversarial Regularization
To appear at the ACM Conference on Computer and Communications Security (CCS), 2018.

Kun Ouyang, Reza Shokri, David S Rosenblum, and Wenzhuo Yang
➙ A Non-Parametric Generative Model for Human Trajectories
In The International Joint Conference on Artificial Intelligence (IJCAI), 2018.

Reza Shokri, Marco Stronati, Congzheng Song, and Vitaly Shmatikov
➙ Membership Inference Attacks against Machine Learning Models ➙ [code] ➙ [talk]
In IEEE Symposium on Security and Privacy (S&P) -- Oakland, 2017.
The Caspar Bowden Award for Outstanding Research in Privacy Enhancing Technologies 2018.

Vincent Bindschaedler, Reza Shokri, and Carl Gunter
➙ Plausible Deniability for Privacy-Preserving Data Synthesis ➙ [code]
In the Proceedings of the VLDB Endowment International Conference on Very Large Data Bases (PVLDB), 2017.

Vincent Bindschaedler and Reza Shokri.
➙ Synthesizing Plausible Privacy-Preserving Location Traces ➙ [code] ➙ [talk by V. Bindschaedler]
In IEEE Symposium on Security and Privacy (S&P) -- Oakland, 2016.

Reza Shokri, George Theodorakopoulos, and Carmela Troncoso
➙ Privacy Games along Location Traces: A Game-Theoretic Framework for Optimizing Location Privacy
In the ACM Transactions on Privacy and Security (TOPS), 2016.

Richard McPherson, Reza Shokri, and Vitaly Shmatikov
➙ Defeating Image Obfuscation with Deep Learning
arXiv:1609.00408, 2016
Media: The Register, WIRED, The Telegraph, BBC, and more

Reza Shokri and Vitaly Shmatikov.
➙ Privacy-Preserving Deep Learning ➙ [code]
In ACM Conference on Computer and Communications Security (CCS), 2015.
(Invited to) Annual Allerton Conference on Communication, Control, and Computing (Allerton) 2015
Media: MIT Technology Review

Reza Shokri.
➙ Privacy Games: Optimal User-Centric Data Obfuscation
In Privacy Enhancing Technologies Symposium (PETS), 2015

Igor Bilogrevic, Kevin Huguenin, Stephan Mihaila, Reza Shokri, and Jean-Pierre Hubaux.
➙ Predicting Users' Motivations behind Location Check-Ins and Utility Implications of Privacy Protection Mechanisms
In Network and Distributed System Security (NDSS) Symposium, 2015.

Arthur Gervais, Reza Shokri, Adish Singla, Srdjan Capkun, and Vincent Lenders.
➙ Quantifying Web-Search Privacy ➙ [code]
In ACM Conference on Computer and Communications Security (CCS), 2014.

Reza Shokri, George Theodorakopoulos, Panos Papadimitratos, Ehsan Kazemi, and Jean-Pierre Hubaux.
➙ Hiding in the Mobile Crowd: Location Privacy through Collaboration
In IEEE Transactions on Dependable and Secure Computing (TDSC), 2014.

Reza Shokri, George Theodorakopoulos, Carmela Troncoso, Jean-Pierre Hubaux, and Jean-Yves Le Boudec.
➙ Protecting Location Privacy: Optimal Strategy against Localization Attacks ➙ [code]
In the 19th ACM Conference on Computer and Communications Security (CCS), 2012.

Reza Shokri, George Theodorakopoulos, Jean-Yves Le Boudec, and Jean-Pierre Hubaux.
➙ Quantifying Location Privacy ➙ [code]
In IEEE Symposium on Security and Privacy (S&P) -- Oakland, 2011.
Runner-up for the Outstanding Research in Privacy Enhancing Technologies 2012.

CS4257: Algorithmic Foundations of Privacy

CS6101: Privacy and Security in Machine Learning

Program co-chair of Hot Topics in Privacy Enhancing Technologies (HotPETs): 2013 and 2014

Program committee member of

• ACM CCS Workshop on Theory and Practice of Differential Privacy (TPDP): ➙2018
• IEEE Symposium on Security and Privacy (Oakland): ➙2019
• ACM Conference on Computer and Communications Security (CCS): 2017
• USENIX Security Symposium: 2015, 2016
• Network and Distributed System Security Symposium (NDSS): 2016, 2017
• IEEE European Symposium on Security and Privacy (Euro S&P): 2017
• Privacy-Enhancing Technologies Symposium (PETS): 2013, 2014, 2015, 2017, ➙ 2019
• ACM Conference on Security and Privacy in Wireless and Mobile Networks (WiSec): 2014, 2015, 2016, ➙2018
• Conference on Decision and Game Theory for Security (GameSec): 2015, 2016, ➙2018
• International World Wide Web Conference (WWW): 2016
• ACM Workshop on Privacy in the Electronic Society (WPES): 2012, 2015
• ASIACCS Workshop on IoT Privacy, Trust, and Security (IoTPTS): 2015, 2016
• Workshop on Understanding and Enhancing Online Privacy (UEOP): 2016
• International Workshop on Obfuscation: Science, Technology, and Theory: 2017
• International Conference on Privacy, Security and Trust (PST): 2014

➙ One open position for a postdoc. Candidates need to have strong analytical skills (statistics, probabilistic models, and machine learning). The project is about designing privacy-preserving mechanisms for machine-learning and data analytics. The exact starting date and the duration are negotiable.

➙ Multiple open positions for PhD students. Candidates need to get admission from the computer science department. (deadlines: 15 June and 15 December). International students can also apply for the SINGA award (deadlines: 1 June and 1 January).

➙ Multiple open positions for (senior undergraduate, and graduate students as) interns and research assistants. Students need to have strong analytical skills.

If you are interested, please fill in this form.