Stacey Truex

PhD Student
Research Interests: Data Privacy, Privacy-Preserving Data Mining, Adversarial Machine Learning

School of Computer Science
Georgia Institute of Technology

About Me

I am a fifth year PhD student in the School of Computer Science at the Georgia Institute of Technology's College of Computing. I am a graduate researcher in the Distributed Data Intensive Systems Lab directed by Professor Ling Liu where my research focuses on two complementary perspectives: (1) privacy, security, and trust in machine learning models and algorithmic decision making, and (2) secure, privacy-preserving artificial intelligence systems, services, and applications. My PhD research has been generously supported through the IBM PhD Fellowship, the Microsoft Research Women's Fellowship, and the Georgia Tech Presidential, Haley, and Institute for Information Security & Privacy Cybersecurity Fellowships.

Prior to starting at Georgia Tech, I received my Bachelor's degree in Computer Science (B.S.) and Mathematics (B.A.) from Wake Forest University. I then spent some time in industry as a software developer before returning to school at the University of Washington where I received my Master's of Computer Science and Systems. While pursuing my Master's I was also a researcher in the University of Washington Institute of Technology's Center for Data Science as a member of both the Healthcare Analytics and Security research groups.

When I'm not working in the lab you can find me cheering on the New England Patriots or the Wake Forest Demon Deacons or showing off pictures of my adorable dog, Penny, or her predecessor Lincoln.

Selected Publications


  • LDP-Fed: Federated Learning with Local Differential Privacy. Slides.
  • Effects of Differential Privacy & Data Skewness on Membership Inference. Slides.
  • Exposing Membership Inference Vulnerability & Mitigation Effectiveness. Poster.
  • Privacy-Preserving Decision Tree Learning: Evaluation to Collaboration. Poster.
  • Trust and Privacy in Big Data Driven Machine Learning Algorithms. Poster.
  • Privacy-Preserving Decision Tree Ensembles. Poster.
  • Privacy-Preserving Inductive Learning with Decision Trees. Slides.
  • Private Predictive Modeling Power. Video.

Fellowships & Awards

  • IBM PhD Fellow, 2019-2021
  • Georgia Institute of Technology Presidential Fellow, 2016-2020
  • Georgia Institute of Technology Haley Fellow, 2019-2020
  • IEEE TPS Student Travel Award, 2019
  • ACM FAT* Conference Scholarship Award, 2019
  • Georgia Institute of Technology's Institute for Information Security & Privacy
    Cybersecurity Fellow, Spring 2017
  • Microsoft Research Women's Fellow, 2016-2017
  • NCWIT Collegiate Award Honorable Mention, 2017
  • Women in CyberSecurity Conference Student Scholarship, 2018
  • NDSS Student Travel Grant, 2017
  • CRA-W Graduate Cohort, 2017
  • Grace Hopper Scholarship, 2010 and 2016
  • KDD Student Travel Award, 2015

Contact Information

School of Computer Science
College of Computing
Georgia Institute of Technology

Distributed Data Intensive Systems Lab
Klaus Advanced Computing Building, Room 3319
266 Ferst Drive
Atlanta, GA 30313