Reza Shokri Curriculum Vitae [1 of 5] Reza Shokri Department of Computer Science, The University of Texas at Austin Visiting Cornell NYC Tech lastname@cs.utexas.edu http://www.shokri.org RESEARCH INTERESTS Privacy-Enhancing Technologies; Computational Privacy Privacy-Preserving Machine Learning Economics of Security and Privacy Game Theory Quantitative Analysis of Security and Privacy Bayesian Inference Probabilistic Graphical Models Machine Learning Mobile Networks; Pervasive Computing ACADEMIC POSITIONS Post-Doctoral Researcher Oct. 2014 present, CS Department, UT Austin; Visiting Cornell NYC Tech Oct. 2013 Sep. 2014, Institute of Information Security, ETH Zurich, Switzerland Research Assistant Oct. 2007 Sep. 2013, Sep. 2005 Jul. 2007, Laboratory for Communications and Applications, EPFL, Switzerland Router Laboratory, University of Tehran, Iran EDUCATION Oct. 2007 Mar. 2013, PhD. in Computer and Communication Sciences, EPFL, Switzerland - PhD. Thesis: Quantifying and Protecting Location Privacy - Advisor: Prof. Jean-Pierre Hubaux - Committee: Prof. G. Danezis, Prof. V. Shmatikov, Prof. J.-Y. Le Boudec, Prof. M. Grossglauser Sep. 2004 Jul. 2007, MSc. in Software Computer Engineering, University of Tehran, Iran - Master Thesis: Anonymous Routing in Mobile Ad Hoc Networks Sep. 1999 Mar. 2003, BSc. in Software Computer Engineering, University of Isfahan, Iran - Bachelor Project: Scanning and Detecting Security Vulnerabilities
Reza Shokri Curriculum Vitae [2 of 5] HONORS and AWARDS Swiss National Science Foundation post-doctoral fellowship, 87 000 USD, 2013 Runner-up for the annual Award for Outstanding Research in Privacy Enhancing Technologies (PET Award) 2012 SELECTED PUBLICATIONS Reza Shokri, and Vitaly Shmatikov. Privacy-Preserving Deep Learning. In ACM Conference on Computer and Communications Security (CCS), Denver, Colorado, USA, 2015. Reza Shokri. Privacy Games: Optimal User-Centric Data Obfuscation. In Proceedings on Privacy Enhancing Technologies (PoPETs) 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. 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 Privacy Enhancing Technologies Symposium (PETS), Amsterdam, The Netherlands, 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), Special Issue on Security and Privacy in Mobile Platforms, 2014. Reza Shokri, George Theodorakopoulos, Carmela Troncoso, Jean-Pierre Hubaux, and Jean-Yves Le Boudec. Protecting Location Privacy: Optimal Strategy against Localization Attacks. In ACM Conference on Computer and Communications Security (CCS), Raleigh, NC, USA, 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), CA, USA, 2011. Reza Shokri, George Theodorakopoulos, George Danezis, Jean-Pierre Hubaux, and Jean-Yves Le Boudec. Quantifying Location Privacy: The Case of Sporadic Location Exposure. In Privacy Enhancing Technologies Symposium (PETS), Waterloo, Canada, 2011. Julien Freudiger, Reza Shokri, and Jean-Pierre Hubaux. On the Optimal Placement of Mix Zones. In Privacy Enhancement Technologies Symposium (PETS), Seattle, WA, USA, 2009.
Reza Shokri Curriculum Vitae [3 of 5] Reza Shokri, Pedram Pedarsani, George Theodorakopoulos, and Jean-Pierre Hubaux. Preserving Privacy in Collaborative Filtering through Distributed Aggregation of Offline Profiles. In ACM Conference on Recommender Systems (RecSys), NY, USA, 2009. Reza Shokri, Marcin Poturalski, Gael Ravot, Panos Papadimitratos, and Jean-Pierre Hubaux. A Practical Secure Neighbor Verification Protocol for Wireless Sensor Networks. In ACM Conference on Wireless Network Security (WiSec), Zurich, Switzerland, 2009. Reza Shokri, Panos Papadimitratos, George Theodorakopoulos, and Jean-Pierre Hubaux. Collaborative Location Privacy. In IEEE International Conference on Mobile Ad-hoc and Sensor Systems (MASS), Valencia, Spain, 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, IL, USA, 2010. Reza Shokri, Julien Freudiger, and Jean-Pierre Hubaux. A Unified Framework for Location Privacy. In Workshop on Hot Topics in Privacy Enhancing Technologies (HotPETs), Berlin, Germany, 2010. Reza Shokri, Julien Freudiger, Murtuza Jadliwala, and Jean-Pierre Hubaux. A Distortion-based Metric for Location Privacy. In ACM Workshop on Privacy in the Electronic Society (WPES), Chicago, IL, USA, 2009. Julien Freudiger, Reza Shokri, and Jean-Pierre Hubaux. Evaluating the Privacy Risk of Location-Based Services. In Financial Cryptography and Data Security (FC), St. Lucia, 2011. Francisco Santos, Mathias Humbert, Reza Shokri and Jean-Pierre Hubaux. Collaborative Location Privacy with Rational Users. In ACM Conference on Decision and Game Theory for Security (GameSec), Maryland, USA, 2011. Maxim Raya, Reza Shokri, and Jean-Pierre Hubaux. On the Tradeoff between Trust and Privacy in Wireless Ad Hoc Networks. In ACM Conference on Wireless Network Security (WiSec), Hoboken, NJ, USA, 2010. BIBLIOMETRICS 1 h-index : 14 citations: 942 peak rate: 266 citations/year in 2014 PROFESSIONAL ACTIVITIES Program co-chair of Hot Topics in Privacy Enhancing Technologies (HotPETs 2013 & 2014) Program committee member of - Network and Distributed System Security Symposium (NDSS 2016) 1 Google Scholar
Reza Shokri Curriculum Vitae [4 of 5] - International World Wide Web Conference (WWW 2016) - USENIX Security Symposium 2015 - Privacy Enhancing Technologies Symposium (PETS 2013 & 2014 & 2015) - ACM Conference on Security and Privacy in Wireless and Mobile Networks (WiSec 2014 & 2015) - Conference on Decision and Game Theory for Security (GameSec 2015) - ACM Workshop on Privacy in the Electronic Society (WPES 2012 & 2015) - ASIACCS Workshop on IoT Privacy, Trust, and Security (IoTPTS 2015) - International Conference on Privacy, Security and Trust (PST 2014) External reviewer for ACM CCS, IEEE S&P, NDSS, Usenix Security, IEEE CSF, PETS, ESORICS, FC, ACM WiSec, ACM SenSys, and ACM UbiComp conferences, and ACM TISSEC, IEEE TMC, IEEE TWC, IEEE TDSC, IEEE TIFS, IEEE TPDS, and IEEE Vehicular Technology journals TEACHING and STUDENT SUPERVISION Guest lecturer for Privacy in the Digital Age at Cornell NYC Tech (2015) Guest lecturer for Computer Security course at ETH Zurich (2014) Teaching assistant for master level course Mobile Networks (2009-2013), and PhD. level course Security and Cooperation in Wireless Networks (2009-2012), EPFL. Co-supervised 4 PhD. research projects on user behavior analysis in data sharing applications (2013), social aspects of location privacy (2013), tradeoff between privacy and trust (2010), privacypreserving people-centric sensing (2008), and one Master thesis on impact of human mobility on location privacy (2012), EPFL. Co-supervised 13 Master semester projects, 6 undergraduate semester projects, and 2 internship projects, on different security and privacy problems in mobile networks, web, and recommender systems (2008-2013), EPFL. 2 Lecturer of undergraduate level course Operating System Laboratory: Linux kernel programming (2005 & 2006), University of Tehran. Teaching assistant for undergraduate level courses Computer Networks, Operating Systems, and Compilers (2001), University of Isfahan. INVITED TALKS Privacy through Fake yet Semantically Real Traces at CS George Washington University, 2015 Quantifying Web Search Privacy at Inria Saclay, Paris, 2014 Quantifying and Protecting Location Privacy at GI-Dissertationspreis 2013 Kolloquium, 2014 Computational Privacy: Two Fundamental Problems at Luxembourg University, 2014 Computational Location Privacy at TDW Conf.: Enabling the Economics of Trust, Vienna, 2014 2 Details are available at http://www.shokri.org
Reza Shokri Curriculum Vitae [5 of 5] Computational Privacy: Two Fundamental Problems at McGill University, 2014 Computational Privacy: Two Fundamental Problems at University of Waterloo, 2014 Computational Privacy: Two Fundamental Problems at the University of Toronto, 2014 Computational Privacy: Two Fundamental Problems at NEC Germany, 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 TOOLS Location Privacy and Mobility Meter (LPM) is an open-source tool for learning and analyzing predictability and similarity of human mobilities as well as quantifying privacy of mobile users against identification, localization, proximity disclosure, and tracking attacks. The tool is used as a benchmark for comparing different location-privacy preserving mechanisms. The software plus documentations are available online through: http://icapeople.epfl.ch/rshokri/lpm. 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 through: https://edit.ethz.ch/syssec/people/agervais/web-search-privacy-quantification-framework August 2015