Reza SHOKRI

Nus Presidential Young Professor
Ph.D. (Communication Science, École polytechnique fédérale de Lausanne)
M.S. (Computer Software Engineering, University of Tehran)
COM2-03-60
651 64464

Research Areas

  • Security
  • Algorithms & Theory
  • Artificial Intelligence

Research Interests

  • Computer Security and Privacy
  • Data and Machine Learning Privacy

Profile

Reza Shokri is an Assistant Professor at the department of computer science at NUS. His research focuses on quantitative analysis of privacy, notably for computational systems, as well as design and implementation of privacy technologies for practical applications. His work on quantifying location privacy was recognized as a runner-up for the Award for Outstanding Research in Privacy Enhancing Technologies 2012. Recently, he has focused on privacy-preserving generative models and privacy in machine learning.

Current Projects

  • Privacy and security in machine learning
  • Privacy-preserving generative models for data synthesis

Selected Publications

  • Milad Nasr, Reza Shokri, and Amir Houmansadr
    Machine Learning with Membership Privacy using Adversarial Regularization
    In the ACM Conference on Computer and Communications Security (CCS), 2018

  • Reza Shokri, Marco Stronati, Congzheng Song, and Vitaly Shmatikov
    Membership Inference Attacks against Machine Learning Models
    In IEEE Symposium on Security and Privacy (S&P) -- Oakland, 2017.

  • Vincent Bindschaedler, Reza Shokri, and Carl Gunter
    Plausible Deniability for Privacy-Preserving Data Synthesis
    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
    In IEEE Symposium on Security and Privacy (S&P) -- Oakland, 2016.

  • Reza Shokri and Vitaly Shmatikov.
    Privacy-Preserving Deep Learning
    In ACM Conference on Computer and Communications Security (CCS), 2015.
    (Invited to) Annual Allerton Conference on Communication, Control, and Computing (Allerton) 2015

  • Reza Shokri.
    Privacy Games: Optimal User-Centric Data Obfuscation
    In Privacy Enhancing Technologies Symposium (PETS), 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, Carmela Troncoso, Jean-Pierre Hubaux, and Jean-Yves Le Boudec.
    Protecting Location Privacy: Optimal Strategy against Localization Attacks
    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
    In IEEE Symposium on Security and Privacy (S&P) -- Oakland, 2011.

Awards & Honours

  • The Caspar Bowden Award for Outstanding Research in Privacy Enhancing Technologies 2018
  • Runner-up for the annual PET Award for Outstanding Research in Privacy Enhancing Technologies 2012

Teaching (2019/2020)

  • CS6231: Topics in System Security
  • CS3235: Computer Security