Reza Shokri

Post-doctoral Research Fellow - Cornell

lastname@cornell.edu

I am currently a post-doctoral research fellow at Cornell University working with Prof. Vitaly Shmatikov. I received my PhD degree in Computer and Communication Sciences from EPFL, Switzerland in 2013. There I worked with Prof. Jean-Pierre Hubaux. I also spent one year as a post-doctoral researcher at the Institute of Information Security, ETH Zurich, working with Prof. Srdjan Capkun. Here is my curriculum vitae.

My research focuses on Computational Privacy. I am currently involved in the following events:


Main Publications

(Google Scholar, DBLP)

Vincent Bindschaedler and Reza Shokri.
New ➙ Synthesizing Plausible Privacy-Preserving Location Traces
In IEEE Symposium on Security and Privacy (S&P), Oakland, May 2016.

Reza Shokri and Vitaly Shmatikov.
Privacy-Preserving Deep Learning [slides]
In ACM Conference on Computer and Communications Security (CCS), Denver, Colorado, USA, 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, San Diego, California, 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), Arizona, USA, 2014.

George Theodorakopoulos, Reza Shokri, Carmela Troncoso, Jean-Pierre Hubaux, and Jean-Yves Le Boudec.
Prolonging the Hide-and-Seek Game: Optimal Trajectory Privacy for Location-Based Services
In ACM Workshop on Privacy in the Electronic Society (WPES), Arizona, USA, 2014.

Alexandra Mihaela Olteanu, Kevin Huguenin, Reza Shokri, and Jean-Pierre Hubaux.
Quantifying the Effect of Co-location Information on Location Privacy
In the 14th Privacy Enhancing Technologies Symposium (PETS), Amsterdam, The Netherlands, July 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.
Quantifying and Protecting Location Privacy [abstract] [slides] [software tool]
PhD. Thesis, Ecole Polytechnique Federale de Lausanne (EPFL), 2013.
Advisor: Prof. Jean-Pierre Hubaux
Jury: Prof. Vitaly Shmatikov, Prof. George Danezis, Prof. Jean-Yves Le Boudec, Prof. Matthias Grossglauser

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), Raleigh, NC, USA, October 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, May 2011.
Award: Recognized as the runner-up for PET Award 2012.
Most Cited research (non-SoK) paper published at IEEE S&P since 2011.

Reza Shokri, George Theodorakopoulos, George Danezis, Jean-Pierre Hubaux, and Jean-Yves Le Boudec.
Quantifying Location Privacy: The Case of Sporadic Location Exposure [code]
In The 11th Privacy Enhancing Technologies Symposium (PETS), Waterloo, July 2011.

Reza Shokri, Panos Papadimitratos, George Theodorakopoulos, and Jean-Pierre Hubaux.
Collaborative Location Privacy
In the 8th IEEE International Conference on Mobile Ad-hoc and Sensor Systems (MASS), Valencia, October 2011.

Francisco Santos, Mathias Humbert, Reza Shokri, and Jean-Pierre Hubaux.
Collaborative Location Privacy with Rational Users
In the 2nd Conference on Decision and Game Theory for Security (GameSec), Maryland, November 2011.

Reza Shokri, Carmela Troncoso, Claudia Diaz, Julien Freudiger, and Jean-Pierre Hubaux.
Unraveling an Old Cloak: k-anonymity for Location Privacy
In ACM Workshop on Privacy in the Electronic Society (WPES), Chicago, October 2010.

Julien Freudiger, Reza Shokri and Jean-Pierre Hubaux.
On the Optimal Placement of Mix Zones
In The 9th Privacy Enhancing Technologies Symposium (PETS), Seattle, August 5-7, 2009.

Reza Shokri, Pedram Pedarsani, George Theodorakopoulos, and Jean-Pierre Hubaux.
Preserving Privacy in Collaborative Filtering through Distributed Aggregation of Offline Profiles
In The 3rd ACM Conference on Recommender Systems (RecSys), New York, October 2009.

Reza Shokri, Marcin Poturalski, Gael Ravot, Panos Papadimitratos, and Jean-Pierre Hubaux.
A Practical Secure Neighbor Verification Protocol for Wireless Sensor Networks
In The 2nd ACM Conference on Wireless Network Security (WiSec), Zurich, March 2009.


Tools

Model Human Mobility and Quantify Location Privacy
Location Privacy and Mobility Meter (LPM) is an open-source tool developed in C++ to quantify mobility and privacy of mobile users. It models mobility of people as a time-dependent Markov chain. It provides a high-level API to learn mobility model of individuals from their (potentially incomplete) actual traces, to evaluate the randomness and similarity of their mobilities, and to quantify their location privacy under user-specified location-bases services and location-privacy preserving mechanisms (such as anonymization and obfuscation). LPM is mainly based on a Bayesian inference framework, and makes use of variety of algorithms and statistical methods. For profiling mobile users and learning their mobility models we make use of Gibbs sampling that allows us to learn from incomplete location traces. To quantify location privacy of mobile users, we run inference attacks (such as de-anonymization, localization, and tracking) on pseudonymous/obfuscated location traces. We then compute location privacy as the expected inference error (by comparing the reconstructed traces with the actual traces). To implement the inference attacks, we make use of various iterative algorithms and dynamic programming methods of hidden Markov models (HMMs). The software and source code plus documentations are available online for download.

Quantify Web Search Privacy
Web Search Privacy Meter is an open-source tool developed in Python to model web search behavior of users and quantify their privacy using different query obfuscation mechanisms. The software is available online for download.


Professional Activities

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

External Reviewer for IEEE S&P, ACM CCS, PETS, IEEE CSF, ESORICS, ACM WiSec, ACM SenSys, ACM UbiComp, ACM TISSEC, IEEE TMC, IEEE TWC, IEEE TIFS, IEEE TPDS, IEEE Vehicular Technology, and Elsevier Comcom.

Honors and Awards

Swiss National Science Foundation (SNSF) Post-Doctoral Fellowship, 87'000 USD, 2013

Runner-up for the annual PET award for outstanding research in Privacy Enhancing Technologies 2012

Most Cited research (non-SoK) paper published at IEEE S&P since 2011


Talks

Privacy-Preserving Deep Learning, at CS department, UMD, Nov 2015
Privacy-Preserving Deep Learning, at Allerton, Oct 2015
Privacy-Preserving Deep Learning, at Information Trust Institute, UIUC, Sep 2015
Quantifying Web Search Privacy, at INRIA Saclay, Ecole Polytechnique, Sep 2014
Quantifying and Protecting Location Privacy, at Dagstuhl GI-Dissertationspreis 2013 Kolloquium, 4 May 2014
Computational Privacy: Two Fundamental Problems, at CS Department, University of Luxembourg, 15 April 2014
Computational Location Privacy, at TDW Conference on Enabling the Economics of Trust, Vienna, 8 April 2014
Computational Privacy: Two Fundamental Problems, at IS Department, McGill University, 14 March 2014
Computational Privacy: Two Fundamental Problems, at CS Department, University of Toronto, 6 March 2014
Computational Privacy: Two Fundamental Problems, at NEC Germany, 19 February 2014
Towards Intelligent Location-Privacy Preserving Mechanisms, at LIX, Ecole Polytechnique, 2013
Towards Intelligent Location-Privacy Preserving Mechanisms, at MSR Cambridge, UK, 2013
Quantifying Location Privacy, at Palo Alto Research Center (PARC), USA, 2011
Quantifying Location Privacy, at Computer Science Department, UIUC, USA, 2011
Location Privacy: Threats and Countermeasures, at COSIC, K.U.Leuven, Belgium, 2010
Location-Privacy Metrics, at WINLAB, ECE Department, Rutgers University, NJ, USA, 2009
Anonymous Routing in Mobile Networks, at INRIA, LIX, Ecole Polytechnique, France, 2006

Teaching

(Guest lecturer) for Security and Privacy Technologies, Cornell Tech, 2015
(Guest Lecturer) Location Privacy: Privacy in the Digital Ageat, Cornell Tech, 2015
(Guest Lecturer) Anonymous Communication: Computer Security, ETH Zurich, 2014
(TA) Mobile Networks, and Security and Cooperation in Wireless Networks, EPFL, 2009-13
(Lecturer) Operating System Laboratory: Linux kernel programming, University of Tehran. 2005-06
(TA) Computer Networks, Operating Systems, and Compilers, University of Isfahan. 2001

Supervised Students

PhD. research project. Nauman Shahid, Data-sharing: User Behavior Modeling and Analysis, Fall 2013
PhD. research project. Alexandra Mihaela Olteanu, Social aspects of Location Privacy, Fall 2013
Master semester project. Pierre Pfister, Impact of Human Mobility on Location Privacy, Fall 2012
Master thesis project. Vincent Bindschaedler, Impact of Human Mobility on Location Privacy, Spring 2012
Master semester project. Saeid Sahraei, Lower Bounds on Location Privacy, Spring 2012
Master semester project. Ypatia Tsavliri, and Vasileios Agrafiotis, Location-tagged Information in Facebook, Fall 2011
Master semester project. David Freiburghaus, Lower Bounds on Location Privacy, Fall 2011
Bachelor semester project. Quentin Alban Hounkpatin, Evaluating Location Obfuscation Mechanisms, Fall 2011
Internship project. Arun Mallya, Reconstructing Noisy Trajectories, Spring 2011
Master semester project. Vincent Bindschaedler, Developing the Location-Privacy Meter Tool, Spring 2011
PhD. research project. Ehsan Kazemi, Location-Privacy in Peer-to-Peer Wireless Networks, Spring 2011
Master semester project. Francisco Santos, Game Theoretic Analysis of MobiCrowd, Spring 2011
Master semester project. Jean Biollay, Privacy-Preserving Mobile Recommender Systems, Fall 2010
PhD. research project. Selma Chouaki, Privacy vs. Trust in Participatory Sensing Systems, Fall 2010
Master semester project. Acacio Martins, and Emanuel Cino, A Privacy-Preserving Friend-Finder, Spring 2010
Master semester project. Hai Ly Hoang, Evaluating Location-Privacy Preserving Mechanisms, Fall 2009
Master semester project. Loic Pfister, Implementing A Collaborative Privacy Protection Method, Fall 2009
Bachelor semester project. Frederico Venturieri, Wireless Peer-to-Peer Communication Helps Privacy, Fall 2009
Master semester project. Antoine Parisod, Privacy Preserving Recommender Systems, Spring 2009
Bachelor semester project. Laurent Bindschaedler, and Marc Bailly, Secure Communication over SMS, Spring 2009
Master semester project. Hai Ly Hoang, Group Trust in Mobile Networks, Spring 2009
Bachelor semester project. Nawfal Cherqui, Secure Communication in Ad-hoc Networks, Spring 2009
PhD. research project. Seyyd Hasan Mirjalili, Privacy-Preserving People-centric Sensing, Fall 2008
Bachelor semester project. Loic Pfister, Wormhole Attack Prevention in Sensor Networks, Fall 2008
Internship project. Gael Ravot, Secure Neighbor-Verification in Sensor Networks, Spring 2008

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