Stacey Truex

Publication Activity (10 Years)

Years Active: 2017-2022
Publications (10 Years): 37

Top Topics

Differential Privacy

Differentially Private

Extended Abstract

Top Venues

Publications

Stacey Truex, Giorgi Alavidze
PSLotto: A Privacy-Enhanced COVID Lottery System. CogMI (2022)
Mehmet Emre Gursoy, Ling Liu, Ka Ho Chow, Stacey Truex, Wenqi Wei
An Adversarial Approach to Protocol Analysis and Selection in Local Differential Privacy. IEEE Trans. Inf. Forensics Secur. 17 (2022)
Mehmet Emre Gursoy, Acar Tamersoy, Stacey Truex, Wenqi Wei, Ling Liu
Secure and Utility-Aware Data Collection with Condensed Local Differential Privacy. IEEE Trans. Dependable Secur. Comput. 18 (5) (2021)
Stacey Truex, Ling Liu, Mehmet Emre Gursoy, Lei Yu, Wenqi Wei
Demystifying Membership Inference Attacks in Machine Learning as a Service. IEEE Trans. Serv. Comput. 14 (6) (2021)
Stacey Truex, Ling Liu, Mehmet Emre Gursoy, Wenqi Wei, Ka Ho Chow
The TSC-PFed Architecture for Privacy-Preserving FL. TPS-ISA (2021)
Wenqi Wei, Ling Liu, Margaret Loper, Ka Ho Chow, Mehmet Emre Gursoy, Stacey Truex, Yanzhao Wu
Cross-Layer Strategic Ensemble Defense Against Adversarial Examples. ICNC (2020)
Vale Tolpegin, Stacey Truex, Mehmet Emre Gursoy, Ling Liu
Data Poisoning Attacks Against Federated Learning Systems. ESORICS (1) (2020)
Stacey Truex, Ling Liu, Ka Ho Chow, Mehmet Emre Gursoy, Wenqi Wei
LDP-Fed: Federated Learning with Local Differential Privacy. CoRR (2020)
Wenqi Wei, Ling Liu, Margaret Loper, Ka Ho Chow, Mehmet Emre Gursoy, Stacey Truex, Yanzhao Wu
Adversarial Deception in Deep Learning: Analysis and Mitigation. TPS-ISA (2020)
Zheng Chai, Ahsan Ali, Syed Zawad, Stacey Truex, Ali Anwar, Nathalie Baracaldo, Yi Zhou, Heiko Ludwig, Feng Yan, Yue Cheng
TiFL: A Tier-based Federated Learning System. HPDC (2020)
Zheng Chai, Ahsan Ali, Syed Zawad, Stacey Truex, Ali Anwar, Nathalie Baracaldo, Yi Zhou, Heiko Ludwig, Feng Yan, Yue Cheng
TiFL: A Tier-based Federated Learning System. CoRR (2020)
Wenqi Wei, Ling Liu, Margaret Loper, Ka Ho Chow, Mehmet Emre Gursoy, Stacey Truex, Yanzhao Wu
A Framework for Evaluating Client Privacy Leakages in Federated Learning. ESORICS (1) (2020)
Ka Ho Chow, Ling Liu, Margaret Loper, Juhyun Bae, Mehmet Emre Gursoy, Stacey Truex, Wenqi Wei, Yanzhao Wu
Adversarial Objectness Gradient Attacks in Real-time Object Detection Systems. TPS-ISA (2020)
Ka Ho Chow, Ling Liu, Mehmet Emre Gursoy, Stacey Truex, Wenqi Wei, Yanzhao Wu
Understanding Object Detection Through An Adversarial Lens. CoRR (2020)
Ka Ho Chow, Ling Liu, Mehmet Emre Gursoy, Stacey Truex, Wenqi Wei, Yanzhao Wu
Understanding Object Detection Through an Adversarial Lens. ESORICS (2) (2020)
Wenqi Wei, Ling Liu, Margaret Loper, Ka Ho Chow, Mehmet Emre Gursoy, Stacey Truex, Yanzhao Wu
A Framework for Evaluating Gradient Leakage Attacks in Federated Learning. CoRR (2020)
Ka Ho Chow, Ling Liu, Mehmet Emre Gursoy, Stacey Truex, Wenqi Wei, Yanzhao Wu
TOG: Targeted Adversarial Objectness Gradient Attacks on Real-time Object Detection Systems. CoRR (2020)
Stacey Truex, Ling Liu, Ka Ho Chow, Mehmet Emre Gursoy, Wenqi Wei
LDP-Fed: federated learning with local differential privacy. EdgeSys@EuroSys (2020)
Vale Tolpegin, Stacey Truex, Mehmet Emre Gursoy, Ling Liu
Data Poisoning Attacks Against Federated Learning Systems. CoRR (2020)
Wenqi Wei, Ling Liu, Margaret Loper, Ka Ho Chow, Mehmet Emre Gursoy, Stacey Truex, Yanzhao Wu
Cross-Layer Strategic Ensemble Defense Against Adversarial Examples. CoRR (2019)
Stacey Truex, Nathalie Baracaldo, Ali Anwar, Thomas Steinke, Heiko Ludwig, Rui Zhang, Yi Zhou
A Hybrid Approach to Privacy-Preserving Federated Learning - (Extended Abstract). Inform. Spektrum 42 (5) (2019)
Martine De Cock, Rafael Dowsley, Caleb Horst, Raj S. Katti, Anderson C. A. Nascimento, Wing-Sea Poon, Stacey Truex
Efficient and Private Scoring of Decision Trees, Support Vector Machines and Logistic Regression Models Based on Pre-Computation. IEEE Trans. Dependable Secur. Comput. 16 (2) (2019)
Stacey Truex, Ling Liu, Mehmet Emre Gursoy, Wenqi Wei, Lei Yu
Effects of Differential Privacy and Data Skewness on Membership Inference Vulnerability. CoRR (2019)
Stacey Truex, Ling Liu, Mehmet Emre Gursoy, Wenqi Wei, Lei Yu
Effects of Differential Privacy and Data Skewness on Membership Inference Vulnerability. TPS-ISA (2019)
Lei Yu, Qi Zhang, Donna Dillenberger, Ling Liu, Calton Pu, Ka Ho Chow, Mehmet Emre Gursoy, Stacey Truex, Hong Min, Arun Iyengar, Gong Su
GRAHIES: Multi-Scale Graph Representation Learning with Latent Hierarchical Structure. CogMI (2019)
Ling Liu, Wenqi Wei, Ka Ho Chow, Margaret Loper, Mehmet Emre Gursoy, Stacey Truex, Yanzhao Wu
Deep Neural Network Ensembles against Deception: Ensemble Diversity, Accuracy and Robustness. CoRR (2019)
Stacey Truex, Nathalie Baracaldo, Ali Anwar, Thomas Steinke, Heiko Ludwig, Rui Zhang, Yi Zhou
A Hybrid Approach to Privacy-Preserving Federated Learning. AISec@CCS (2019)
Mehmet Emre Gursoy, Ling Liu, Stacey Truex, Lei Yu
Differentially Private and Utility Preserving Publication of Trajectory Data. IEEE Trans. Mob. Comput. 18 (10) (2019)
Lei Yu, Ling Liu, Calton Pu, Mehmet Emre Gursoy, Stacey Truex
Differentially Private Model Publishing for Deep Learning. CoRR (2019)
Mehmet Emre Gursoy, Acar Tamersoy, Stacey Truex, Wenqi Wei, Ling Liu
Secure and Utility-Aware Data Collection with Condensed Local Differential Privacy. CoRR (2019)
Lei Yu, Ling Liu, Calton Pu, Mehmet Emre Gursoy, Stacey Truex
Differentially Private Model Publishing for Deep Learning. IEEE Symposium on Security and Privacy (2019)
Ling Liu, Wenqi Wei, Ka Ho Chow, Margaret Loper, Mehmet Emre Gursoy, Stacey Truex, Yanzhao Wu
Deep Neural Network Ensembles Against Deception: Ensemble Diversity, Accuracy and Robustness. MASS (2019)
Mehmet Emre Gursoy, Ling Liu, Stacey Truex, Lei Yu, Wenqi Wei
Utility-Aware Synthesis of Differentially Private and Attack-Resilient Location Traces. CCS (2018)
Stacey Truex, Nathalie Baracaldo, Ali Anwar, Thomas Steinke, Heiko Ludwig, Rui Zhang
A Hybrid Approach to Privacy-Preserving Federated Learning. CoRR (2018)
Wenqi Wei, Ling Liu, Stacey Truex, Lei Yu, Mehmet Emre Gursoy
Adversarial Examples in Deep Learning: Characterization and Divergence. CoRR (2018)
Stacey Truex, Ling Liu, Mehmet Emre Gursoy, Lei Yu, Wenqi Wei
Towards Demystifying Membership Inference Attacks. CoRR (2018)
Stacey Truex, Ling Liu, Mehmet Emre Gursoy, Lei Yu
Privacy-Preserving Inductive Learning with Decision Trees. BigData Congress (2017)