M. Emre Gursoy

      Ph.D. Candidate
      School of Computer Science
      Georgia Institute of Technology

      Email: memregursoy at gatech dot edu
      Office: Klaus Advanced Computing Building (KACB) 3319
                  266 Ferst Dr NW, Atlanta, GA 30332


Short Bio

I am a PhD candidate in the School of Computer Science at Georgia Tech. Before coming to Georgia Tech, I obtained my MS in Computer Science from UCLA and my BS in Computer Science and Engineering from Sabanci University, Turkey.

My research interests include:

  • Data privacy and security
  • Cybersecurity
  • Data analytics and data mining
  • Security and privacy in machine learning (ML) and artificial intelligence (AI)
  • Adversarial machine learning
  • Internet of Things
My research in these areas have led to numerous publications in prestigious international conferences and journals, including: ACM CCS, IEEE S&P, IEEE Big Data, ESORICS, ECML-PKDD, IEEE TDSC, IEEE TMC, IEEE TSC, ACM TOPS, and DMKD.

I regularly serve as an invited reviewer for high-impact international journals, including IEEE and ACM Transactions journals. I am currently also serving as the Information Director of ACM Transactions on Internet Technology (TOIT).

I have received several awards and scholarships throughout my education, including three merit scholarships, two conference travel/registration grants, as well as a Best Paper Award from EdgeSys 2020.

Here is my CV (last updated: January 2020). I'm also on Google Scholar.


Education

2020 Georgia Institute of Technology, Atlanta, GA, USA
PhD in Computer Science
2015 University of California Los Angeles (UCLA), Los Angeles, CA, USA
MS in Computer Science
2013 Sabanci University, Istanbul, Turkey
BS in Computer Science and Engineering
2009 Robert College, Istanbul, Turkey
High school

Publications

Journals

Secure and utility-aware data collection with condensed local differential privacy  [pdf]
Mehmet Emre Gursoy, Acar Tamersoy, Stacey Truex, Wenqi Wei, and Ling Liu
IEEE Transactions on Dependable and Secure Computing (TDSC)

Demystifying membership inference attacks in machine learning as a service  [pdf]
Stacey Truex, Ling Liu, Mehmet Emre Gursoy, Lei Yu, and Wenqi Wei
IEEE Transactions on Services Computing (TSC)

Differentially private and utility preserving publication of trajectory data  [pdf]
Mehmet Emre Gursoy, Ling Liu, Stacey Truex, and Lei Yu
IEEE Transactions on Mobile Computing (TMC)

Sensitivity analysis for non-interactive differential privacy: bounds and efficient algorithms  [pdf]
Ali Inan, Mehmet Emre Gursoy, and Yucel Saygin
IEEE Transactions on Dependable and Secure Computing (TDSC)

Known sample attacks on relation preserving data transformations  [pdf]
Emre Kaplan, Mehmet Emre Gursoy, Mehmet Ercan Nergiz, and Yucel Saygin
IEEE Transactions on Dependable and Secure Computing (TDSC)

Differentially private nearest neighbor classification  [pdf]
Mehmet Emre Gursoy, Ali Inan, Mehmet Ercan Nergiz, and Yucel Saygin
2017 European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases (ECML-PKDD 2017)
Accepted to the Journal Track, published in: Data Mining and Knowledge Discovery, 31 (5), 1544-1575

Location disclosure risks of releasing trajectory distances  [pdf]
Emre Kaplan, Mehmet Emre Gursoy, Mehmet Ercan Nergiz, and Yucel Saygin
Data & Knowledge Engineering (DKE)

Privacy-preserving learning analytics: challenges and techniques  [pdf]
Mehmet Emre Gursoy, Ali Inan, Mehmet Ercan Nergiz, and Yucel Saygin
IEEE Transactions on Learning Technologies (TLT), 10 (1), 68-81.

Privacy-preserving publishing of hierarchical data  [pdf]
Ismet Ozalp, Mehmet Emre Gursoy, Mehmet Ercan Nergiz, and Yucel Saygin
ACM Transactions on Privacy and Security (TOPS), 19 (3), 7.

Conferences and Workshops

Data poisoning attacks against federated learning systems  [pdf]
Vale Tolpegin, Stacey Truex, Mehmet Emre Gursoy, and Ling Liu
25th European Symposium on Research in Computer Security (ESORICS 2020) -- Acceptance rate: 19.6%

Understanding object detection through an adversarial lens  [pdf]
Ka-Ho Chow, Ling Liu, Mehmet Emre Gursoy, Stacey Truex, Wenqi Wei and Yanzhao Wu
25th European Symposium on Research in Computer Security (ESORICS 2020) -- Acceptance rate: 19.6%

LDP-Fed: Federated learning with local differential privacy  [pdf]
Stacey Truex, Ling Liu, Ka-Ho Chow, Mehmet Emre Gursoy, and Wenqi Wei
2020 ACM International Workshop on Edge Systems, Analytics and Networking (EdgeSys 2020) -- Best Paper Award!

Cross-layer strategic ensemble defense against adversarial examples  [pdf]
Wenqi Wei, Ling Liu, Margaret Loper, Ka-Ho Chow, Mehmet Emre Gursoy, Stacey Truex, and Yanzhao Wu
2020 International Conference on Computing, Networking and Communications (ICNC 2020)

Effects of differential privacy and data skewness on membership inference vulnerability  [pdf]
Stacey Truex, Ling Liu, Mehmet Emre Gursoy, Wenqi Wei, and Lei Yu
2019 IEEE International Conference on Trust, Privacy and Security in Intelligent Systems and Applications (TPS 2019)

GRAHIES: Multi-scale graph representation learning with latent hierarchical structure  [pdf]
Lei Yu, Ling Liu, Calton Pu, Ka-Ho Chow, Mehmet Emre Gursoy, Stacey Truex, Hong Min, Arun Iyengar, Gong Su,
Qi Zhang, and Donna Dillenberger
2019 IEEE International Conference on Cognitive Machine Intelligence (CogMI 2019)

Classification of driving behavior events utilizing kinematic classification and machine learning for down sampled
time series data
  [pdf]
Vikram Krishnamurthy, Kusha Nezafati, Juhyun Bae, Mehmet Emre Gursoy, Mian Zhong, and Vikrant Singh
2019 International Workshop on Big Data for Intelligent Transportation Systems (BITS 2019)

Deep neural network ensembles against deception: ensemble diversity, accuracy and robustness  [pdf]
Ling Liu, Wenqi Wei, Ka-Ho Chow, Margaret Loper, Mehmet Emre Gursoy, Stacey Truex, and Yanzhao Wu
2019 IEEE International Conference on Mobile Ad-Hoc and Smart Systems (MASS 2019)

Differentially private model publishing for deep learning  [pdf]  [code]
Lei Yu, Ling Liu, Calton Pu, Mehmet Emre Gursoy, and Stacey Truex
2019 IEEE Symposium on Security and Privacy (S&P 2019) -- Acceptance rate: 12%

Utility-aware synthesis of differentially private and attack-resilient location traces  [pdf]  [code]
Mehmet Emre Gursoy, Ling Liu, Stacey Truex, Lei Yu, and Wenqi Wei
2018 ACM Conference on Computer and Communications Security (CCS 2018) -- Acceptance rate: 16.6%

PrivacyZone: A novel approach to protecting location privacy of mobile users  [pdf]
Emre Yigitoglu, Mehmet Emre Gursoy, Ling Liu, Margaret Loper, Bhuvan Bamba, and Kisung Lee
2018 IEEE International Conference on Big Data (Big Data 2018) -- Acceptance rate: 19.7%

Privacy-preserving inductive learning with decision trees  [pdf]
Stacey Truex, Ling Liu, Mehmet Emre Gursoy, and Lei Yu
2017 IEEE International Congress on Big Data (BigData Congress 2017)

Graph-based modelling of query sets for differential privacy  [pdf]
Ali Inan, Mehmet Emre Gursoy, Emir Esmerdag, and Yucel Saygin
28th International Conference on Scientific and Statistical Database Management (SSDBM 2016)

Congestion attacks to autonomous cars using vehicular botnets  [pdf]
Mevlut Turker Garip, Mehmet Emre Gursoy, Peter Reiher, and Mario Gerla
NDSS Workshop on Security of Emerging Networking Technologies (SENT 2015)

Scalable, reactive, vehicle-to-vehicle congestion avoidance mechanism  [pdf]
Mevlut Turker Garip, Mehmet Emre Gursoy, Peter Reiher, and Mario Gerla
Proceedings of the 12th Annual IEEE Consumer Communications and Networking Conference (CCNC 2015)

Demos, Posters, and Abstracts (Peer-Reviewed)

AdaTrace: Utility-aware synthesis of differentially private and attack-resilient location traces  [pdf]
Mehmet Emre Gursoy, Ling Liu, and Margaret Loper
Southern Data Science Conference (SDSC), April 2018.
Also presented at: Institute of Information Security and Privacy Demo Day, October 2018.

Explode: An extensible platform for differentially private data mining  [pdf]
Emir Esmerdag, Mehmet Emre Gursoy, Ali Inan, and Yucel Saygin
IEEE International Conference on Data Mining (ICDM), 2016. (demo paper)

Preprints

A framework for evaluating gradient leakage attacks in federated learning  [pdf]
Wenqi Wei, Ling Liu, Margaret Loper, Ka-Ho Chow, Mehmet Emre Gursoy, Stacey Truex, and Yanzhao Wu
Available on arXiv

TOG: Targeted adversarial objectness gradient attacks on real-time object detection systems  [pdf]
Ka-Ho Chow, Ling Liu, Mehmet Emre Gursoy, Stacey Truex, Wenqi Wei, and Yanzhao Wu
Available on arXiv

Utility-aware and privacy-preserving mobile query services  [pdf]
Emre Yigitoglu, Mehmet Emre Gursoy, and Ling Liu
Available on arXiv

Towards demystifying membership inference attacks  [pdf]
Stacey Truex, Ling Liu, Mehmet Emre Gursoy, Lei Yu, and Wenqi Wei
Available on arXiv

Adversarial examples in deep learning: characterization and divergence  [pdf]
Wenqi Wei, Ling Liu, Margaret Loper, Stacey Truex, Lei Yu, Mehmet Emre Gursoy, and Yanzhao Wu
Available on arXiv

Patents

Driver scoring and safe driving notifications
Vikram Krishnamurthy and Mehmet Emre Gursoy
US Patent 10,556,596 (granted)


Work Experience

Fall 2016 - Spring 2020 Graduate Research Assistant, Georgia Institute of Technology
Advisor: Prof. Ling Liu
Distributed Data Intensive Systems Lab (DiSL)
Fall 2017 - Fall 2018 Graduate Teaching Assistant, Georgia Institute of Technology
CS 6220: Big Data Systems and Analytics (Fall 2018)
CS 6675: Advanced Internet Computing Systems and Application Development (Spring 2018)
CS 8803BDS: Big Data Systems and Analytics (Fall 2017)
Summer 2018 Summer Research Intern, Symantec Corporation
Symantec Research Labs (SRL), Culver City, CA
Local differential privacy for cybersecurity applications
Summer 2017 Research Intern, Nissan Research Center Silicon Valley
Connected Vehicle Services Team
Manager: Dr. Vikram Krishnamurthy
Classification of driving behavior events for usage-based vehicle insurance using machine learning
Fall 2012 Undergraduate Teaching Assistant, Sabanci University
CS307: Operating Systems
Instructor: Prof. Yucel Saygin
Summer 2012 Software Developer Intern, Akbank
Mandatory industry internship
Front-end and back-end application development for banking operations

Professional Services

Information Director:

  • ACM Transactions on Internet Technology (TOIT)

Journal Reviewer:

  • IEEE Transactions on Dependable and Secure Computing (TDSC)
  • IEEE Transactions on Information Forensics and Security (TIFS)
  • IEEE Transactions on Mobile Computing (TMC)
  • ACM Transactions on Internet Technology (TOIT)
  • IEEE Transactions on Services Computing (TSC)
  • IEEE/ACM Transactions on Networking (TON)
  • IEEE Vehicular Technology Magazine (VTC)
  • IEEE Sensors Journal
  • Computers & Security
  • Data and Knowledge Engineering (DKE)
  • IEEE Access
  • IEEE Communications Letters

Program Committee Member:

  • International Conference on Cognitive Computing (ICCC 2020)
  • International Workshop on Machine Learning Security and Privacy: Experiences and Applications (WiSecML) @ MASS 2019

External Reviewer / Subreviewer:

  • IEEE International Conference on Data Engineering (ICDE) 2018
  • IEEE International Conference on Distributed Computing Systems (ICDCS) 2017
  • IEEE International Workshop on Privacy and Discrimination in Data Mining (PDDM 2016), co-located with ICDM 2016
  • Machine Learning

Awards & Scholarships

  • Best paper award in EdgeSys 2020 for paper titled: "LDP-Fed: Federated learning with local differential privacy"
  • Student travel grant for ACM Conference on Computer and Communications Security (CCS) 2018
  • Symantec Research Labs Graduate Fellowship Finalist 2018
  • Registration grant for Southern Data Science Conference (SDSC) 2018
  • Dilek Sabanci Scholarship (2011-2013)
  • Sakip Sabanci Encouragement Scholarship (2010-2011)
  • Sabanci University Merit Scholarship (2009-2010)

Invited Talks and Guest Lectures

  • Trajectory analytics and compression for location-based systems
    CS 4220/6235 in Fall 2018 and Fall 2019, CS 4365/6365 in Spring 2019
  • Utility-aware synthesis of differentially private and attack-resilient location traces
    CS 6220 in Fall 2019
  • Location-based services and spatial alarms
    CS 6675 in Spring 2019
  • Preserving user privacy in location-based services
    CS 6220 in Fall 2018
  • Introduction to Emulab and Amazon Web Services (AWS)
    CS 8803 in Fall 2017, CS 6675 in Spring 2018, CS 6220 in Fall 2018