Stacey Truex

According to our database, Stacey Truex authored at least 29 papers between 2017 and 2022.

Collaborative distances:

• Dijkstra number of three.
• Erdős number of four.

2022

Data Privacy in the Modern Machine Learning Ecosystem.

Stacey Truex

PhD thesis, 2022

An Adversarial Approach to Protocol Analysis and Selection in Local Differential Privacy.

Mehmet Emre Gursoy, Ling Liu, Ka Ho Chow, Stacey Truex, Wenqi Wei

IEEE Trans. Inf. Forensics Secur., 2022

PSLotto: A Privacy-Enhanced COVID Lottery System.

Stacey Truex, Giorgi Alavidze

Proceedings of the 4th IEEE International Conference on Cognitive Machine Intelligence, 2022

2021

Demystifying Membership Inference Attacks in Machine Learning as a Service.

Stacey Truex, Ling Liu, Mehmet Emre Gursoy, Lei Yu, Wenqi Wei

IEEE Trans. Serv. Comput., 2021

Secure and Utility-Aware Data Collection with Condensed Local Differential Privacy.

Mehmet Emre Gursoy, Acar Tamersoy, Stacey Truex, Wenqi Wei, Ling Liu

IEEE Trans. Dependable Secur. Comput., 2021

The TSC-PFed Architecture for Privacy-Preserving FL.

Stacey Truex, Ling Liu, Mehmet Emre Gursoy, Wenqi Wei, Ka Ho Chow

Proceedings of the 3rd IEEE International Conference on Trust, 2021

2020

A Framework for Evaluating Gradient Leakage Attacks in Federated Learning.

Wenqi Wei, Ling Liu, Margaret Loper, Ka Ho Chow, Mehmet Emre Gursoy, Stacey Truex, Yanzhao Wu

CoRR, 2020

TOG: Targeted Adversarial Objectness Gradient Attacks on Real-time Object Detection Systems.

Ka Ho Chow, Ling Liu, Mehmet Emre Gursoy, Stacey Truex, Wenqi Wei, Yanzhao Wu

CoRR, 2020

Adversarial Deception in Deep Learning: Analysis and Mitigation.

Wenqi Wei, Ling Liu, Margaret Loper, Ka Ho Chow, Mehmet Emre Gursoy, Stacey Truex, Yanzhao Wu

Proceedings of the Second IEEE International Conference on Trust, 2020

Adversarial Objectness Gradient Attacks in Real-time Object Detection Systems.

Ka Ho Chow, Ling Liu, Margaret Loper, Juhyun Bae, Mehmet Emre Gursoy, Stacey Truex, Wenqi Wei, Yanzhao Wu

Proceedings of the Second IEEE International Conference on Trust, 2020

Cross-Layer Strategic Ensemble Defense Against Adversarial Examples.

Wenqi Wei, Ling Liu, Margaret Loper, Ka Ho Chow, Mehmet Emre Gursoy, Stacey Truex, Yanzhao Wu

Proceedings of the International Conference on Computing, Networking and Communications, 2020

TiFL: A Tier-based Federated Learning System.

Zheng Chai, Ahsan Ali, Syed Zawad, Stacey Truex, Ali Anwar, Nathalie Baracaldo, Yi Zhou, Heiko Ludwig, Feng Yan, Yue Cheng

Proceedings of the HPDC '20: The 29th International Symposium on High-Performance Parallel and Distributed Computing, 2020

LDP-Fed: federated learning with local differential privacy.

Stacey Truex, Ling Liu, Ka Ho Chow, Mehmet Emre Gursoy, Wenqi Wei

Proceedings of the 3rd International Workshop on Edge Systems, Analytics and Networking, 2020

A Framework for Evaluating Client Privacy Leakages in Federated Learning.

Wenqi Wei, Ling Liu, Margaret Loper, Ka Ho Chow, Mehmet Emre Gursoy, Stacey Truex, Yanzhao Wu

Proceedings of the Computer Security - ESORICS 2020, 2020

Data Poisoning Attacks Against Federated Learning Systems.

Vale Tolpegin, Stacey Truex, Mehmet Emre Gursoy, Ling Liu

Proceedings of the Computer Security - ESORICS 2020, 2020

Understanding Object Detection Through an Adversarial Lens.

Ka Ho Chow, Ling Liu, Mehmet Emre Gursoy, Stacey Truex, Wenqi Wei, Yanzhao Wu

Proceedings of the Computer Security - ESORICS 2020, 2020

2019

Differentially Private and Utility Preserving Publication of Trajectory Data.

Mehmet Emre Gursoy, Ling Liu, Stacey Truex, Lei Yu

IEEE Trans. Mob. Comput., 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

A Hybrid Approach to Privacy-Preserving Federated Learning - (Extended Abstract).

Stacey Truex, Nathalie Baracaldo, Ali Anwar, Thomas Steinke, Heiko Ludwig, Rui Zhang, Yi Zhou

Inform. Spektrum, 2019

Effects of Differential Privacy and Data Skewness on Membership Inference Vulnerability.

Stacey Truex, Ling Liu, Mehmet Emre Gursoy, Wenqi Wei, Lei Yu

Proceedings of the First IEEE International Conference on Trust, 2019

Differentially Private Model Publishing for Deep Learning.

Lei Yu, Ling Liu, Calton Pu, Mehmet Emre Gursoy, Stacey Truex

Proceedings of the 2019 IEEE Symposium on Security and Privacy, 2019

Deep Neural Network Ensembles Against Deception: Ensemble Diversity, Accuracy and Robustness.

Ling Liu, Wenqi Wei, Ka Ho Chow, Margaret Loper, Mehmet Emre Gursoy, Stacey Truex, Yanzhao Wu

Proceedings of the 16th IEEE International Conference on Mobile Ad Hoc and Sensor Systems, 2019

GRAHIES: Multi-Scale Graph Representation Learning with Latent Hierarchical Structure.

Lei Yu, Qi Zhang, Donna Dillenberger, Ling Liu, Calton Pu, Ka Ho Chow, Mehmet Emre Gursoy, Stacey Truex, Hong Min, Arun Iyengar, Gong Su

Proceedings of the 2019 IEEE First International Conference on Cognitive Machine Intelligence (CogMI), 2019

A Hybrid Approach to Privacy-Preserving Federated Learning.

Stacey Truex, Nathalie Baracaldo, Ali Anwar, Thomas Steinke, Heiko Ludwig, Rui Zhang, Yi Zhou

Proceedings of the 12th ACM Workshop on Artificial Intelligence and Security, 2019

2018

A Hybrid Approach to Privacy-Preserving Federated Learning.

Stacey Truex, Nathalie Baracaldo, Ali Anwar, Thomas Steinke, Heiko Ludwig, Rui Zhang

CoRR, 2018

Towards Demystifying Membership Inference Attacks.

Stacey Truex, Ling Liu, Mehmet Emre Gursoy, Lei Yu, Wenqi Wei

CoRR, 2018

Adversarial Examples in Deep Learning: Characterization and Divergence.

Wenqi Wei, Ling Liu, Stacey Truex, Lei Yu, Mehmet Emre Gursoy

CoRR, 2018

Utility-Aware Synthesis of Differentially Private and Attack-Resilient Location Traces.

Mehmet Emre Gursoy, Ling Liu, Stacey Truex, Lei Yu, Wenqi Wei

Proceedings of the 2018 ACM SIGSAC Conference on Computer and Communications Security, 2018

2017

Privacy-Preserving Inductive Learning with Decision Trees.

Stacey Truex, Ling Liu, Mehmet Emre Gursoy, Lei Yu

Proceedings of the 2017 IEEE International Congress on Big Data, 2017