Privacy-Preserving Inductive Learning with Decision Trees. - Stacey Truex; Ling Liu 001; Mehmet Emre Gursoy; Lei Yu 002 (BigData Congress, 2017)

Utility-Aware Synthesis of Differentially Private and Attack-Resilient Location Traces. - Mehmet Emre Gursoy; Ling Liu 001; Stacey Truex; Lei Yu 002; Wenqi Wei 001 (CCS, 2018)

Adversarial Examples in Deep Learning: Characterization and Divergence. - Wenqi Wei 001; Ling Liu 001; Stacey Truex; Lei Yu 002; Mehmet Emre Gursoy (CoRR, 2018)

Towards Demystifying Membership Inference Attacks. - Stacey Truex; Ling Liu 001; Mehmet Emre Gursoy; Lei Yu 002; Wenqi Wei 001 (CoRR, 2018)

A Hybrid Approach to Privacy-Preserving Federated Learning. - Stacey Truex; Nathalie Baracaldo; Ali Anwar 001; Thomas Steinke 002; Heiko Ludwig; Rui Zhang 028 (CoRR, 2018)

A Hybrid Approach to Privacy-Preserving Federated Learning. - Stacey Truex; Nathalie Baracaldo; Ali Anwar 001; Thomas Steinke 002; Heiko Ludwig; Rui Zhang 028; Yi Zhou 015 (AISec@CCS, 2019)

GRAHIES: Multi-Scale Graph Representation Learning with Latent Hierarchical Structure. - Lei Yu 002; Qi Zhang 009; Donna Dillenberger; Ling Liu 001; Calton Pu; Ka Ho Chow; Mehmet Emre Gursoy; Stacey Truex; Hong Min; Arun Iyengar; Gong Su (CogMI, 2019)

Deep Neural Network Ensembles Against Deception: Ensemble Diversity, Accuracy and Robustness. - Ling Liu 001; Wenqi Wei 001; Ka Ho Chow; Margaret Loper; Mehmet Emre Gursoy; Stacey Truex; Yanzhao Wu 001 (MASS, 2019)

Differentially Private Model Publishing for Deep Learning. - Lei Yu 002; Ling Liu 001; Calton Pu; Mehmet Emre Gursoy; Stacey Truex (IEEE Symposium on Security and Privacy, 2019)

Effects of Differential Privacy and Data Skewness on Membership Inference Vulnerability. - Stacey Truex; Ling Liu 001; Mehmet Emre Gursoy; Wenqi Wei 001; Lei Yu 002 (TPS-ISA, 2019)

A Hybrid Approach to Privacy-Preserving Federated Learning - (Extended Abstract). - Stacey Truex; Nathalie Baracaldo; Ali Anwar 001; Thomas Steinke 002; Heiko Ludwig; Rui Zhang 028; Yi Zhou 015 (Inform. Spektrum, 2019)

Efficient and Private Scoring of Decision Trees, Support Vector Machines and Logistic Regression Models Based on Pre-Computation. - Martine De Cock; Rafael Dowsley; Caleb Horst; Raj S. Katti; Anderson C. A. Nascimento; Wing-Sea Poon; Stacey Truex (IEEE Trans. Dependable Secur. Comput., 2019)

Differentially Private and Utility Preserving Publication of Trajectory Data. - Mehmet Emre Gursoy; Ling Liu 001; Stacey Truex; Lei Yu 002 (IEEE Trans. Mob. Comput., 2019)

Understanding Object Detection Through an Adversarial Lens. - Ka Ho Chow; Ling Liu 001; Mehmet Emre Gursoy; Stacey Truex; Wenqi Wei 001; Yanzhao Wu 001 (ESORICS (2), 2020)

Data Poisoning Attacks Against Federated Learning Systems. - Vale Tolpegin; Stacey Truex; Mehmet Emre Gursoy; Ling Liu 001 (ESORICS (1), 2020)

A Framework for Evaluating Client Privacy Leakages in Federated Learning. - Wenqi Wei 001; Ling Liu 001; Margaret Loper; Ka Ho Chow; Mehmet Emre Gursoy; Stacey Truex; Yanzhao Wu 001 (ESORICS (1), 2020)

LDP-Fed: federated learning with local differential privacy. - Stacey Truex; Ling Liu 001; Ka Ho Chow; Mehmet Emre Gursoy; Wenqi Wei 001 (EdgeSys@EuroSys, 2020)

TiFL: A Tier-based Federated Learning System. - Zheng Chai; Ahsan Ali; Syed Zawad; Stacey Truex; Ali Anwar 001; Nathalie Baracaldo; Yi Zhou 015; Heiko Ludwig; Feng Yan 001; Yue Cheng 001 (HPDC, 2020)

Cross-Layer Strategic Ensemble Defense Against Adversarial Examples. - Wenqi Wei 001; Ling Liu 001; Margaret Loper; Ka Ho Chow; Mehmet Emre Gursoy; Stacey Truex; Yanzhao Wu 001 (ICNC, 2020)

Adversarial Objectness Gradient Attacks in Real-time Object Detection Systems. - Ka Ho Chow; Ling Liu 001; Margaret Loper; Juhyun Bae; Mehmet Emre Gursoy; Stacey Truex; Wenqi Wei 001; Yanzhao Wu 001 (TPS-ISA, 2020)

Adversarial Deception in Deep Learning: Analysis and Mitigation. - Wenqi Wei 001; Ling Liu 001; Margaret Loper; Ka Ho Chow; Mehmet Emre Gursoy; Stacey Truex; Yanzhao Wu 001 (TPS-ISA, 2020)

TOG: Targeted Adversarial Objectness Gradient Attacks on Real-time Object Detection Systems. - Ka Ho Chow; Ling Liu 001; Mehmet Emre Gursoy; Stacey Truex; Wenqi Wei 001; Yanzhao Wu 001 (CoRR, 2020)

A Framework for Evaluating Gradient Leakage Attacks in Federated Learning. - Wenqi Wei 001; Ling Liu 001; Margaret Loper; Ka Ho Chow; Mehmet Emre Gursoy; Stacey Truex; Yanzhao Wu 001 (CoRR, 2020)

The TSC-PFed Architecture for Privacy-Preserving FL. - Stacey Truex; Ling Liu 001; Mehmet Emre Gursoy; Wenqi Wei 001; Ka Ho Chow (TPS-ISA, 2021)

Secure and Utility-Aware Data Collection with Condensed Local Differential Privacy. - Mehmet Emre Gursoy; Acar Tamersoy; Stacey Truex; Wenqi Wei 001; Ling Liu 001 (IEEE Trans. Dependable Secur. Comput., 2021)

Demystifying Membership Inference Attacks in Machine Learning as a Service. - Stacey Truex; Ling Liu 001; Mehmet Emre Gursoy; Lei Yu 002; Wenqi Wei 001 (IEEE Trans. Serv. Comput., 2021)

PSLotto: A Privacy-Enhanced COVID Lottery System. - Stacey Truex; Giorgi Alavidze (CogMI, 2022)

An Adversarial Approach to Protocol Analysis and Selection in Local Differential Privacy. - Mehmet Emre Gursoy; Ling Liu 001; Ka Ho Chow; Stacey Truex; Wenqi Wei 001 (IEEE Trans. Inf. Forensics Secur., 2022)

Data Privacy in the Modern Machine Learning Ecosystem. - Stacey Truex (2022)

Privacy in Practice: Research Challenges in the Deployment of Privacy-Preserving ML. - Stacey Truex; Margaret Malan (TPS-ISA, 2024)