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Stacey Truex
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2020 – today
- 2022
- [b1]Stacey Truex:
Data Privacy in the Modern Machine Learning Ecosystem. Georgia Institute of Technology, Atlanta, GA, USA, 2022 - [j6]Mehmet Emre Gursoy
, Ling Liu
An Adversarial Approach to Protocol Analysis and Selection in Local Differential Privacy. IEEE Trans. Inf. Forensics Secur. 17: 1785-1799 (2022) - [c17]Stacey Truex, Giorgi Alavidze:
PSLotto: A Privacy-Enhanced COVID Lottery System. CogMI 2022: 59-68 - 2021
- [j5]Mehmet Emre Gursoy
Secure and Utility-Aware Data Collection with Condensed Local Differential Privacy. IEEE Trans. Dependable Secur. Comput. 18(5): 2365-2378 (2021) - [j4]Stacey Truex
Demystifying Membership Inference Attacks in Machine Learning as a Service. IEEE Trans. Serv. Comput. 14(6): 2073-2089 (2021) - [c16]Stacey Truex, Ling Liu
The TSC-PFed Architecture for Privacy-Preserving FL. TPS-ISA 2021: 207-216 - 2020
- [c15]Ka Ho Chow, Ling Liu, Mehmet Emre Gursoy, Stacey Truex, Wenqi Wei, Yanzhao Wu
Understanding Object Detection Through an Adversarial Lens. ESORICS (2) 2020: 460-481 - [c14]Vale Tolpegin, Stacey Truex, Mehmet Emre Gursoy, Ling Liu:
Data Poisoning Attacks Against Federated Learning Systems. ESORICS (1) 2020: 480-501 - [c13]Wenqi Wei
A Framework for Evaluating Client Privacy Leakages in Federated Learning. ESORICS (1) 2020: 545-566 - [c12]Stacey Truex, Ling Liu, Ka Ho Chow, Mehmet Emre Gursoy, Wenqi Wei:
LDP-Fed: federated learning with local differential privacy. EdgeSys@EuroSys 2020: 61-66 - [c11]Zheng Chai, Ahsan Ali, Syed Zawad, Stacey Truex, Ali Anwar
TiFL: A Tier-based Federated Learning System. HPDC 2020: 125-136 - [c10]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: 456-460 - [c9]Wenqi Wei
Adversarial Deception in Deep Learning: Analysis and Mitigation. TPS-ISA 2020: 236-245 - [c8]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: 263-272 - [i14]Zheng Chai, Ahsan Ali
TiFL: A Tier-based Federated Learning System. CoRR abs/2001.09249 (2020) - [i13]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 abs/2004.04320 (2020) - [i12]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 abs/2004.10397 (2020) - [i11]Stacey Truex, Ling Liu, Ka Ho Chow, Mehmet Emre Gursoy, Wenqi Wei:
LDP-Fed: Federated Learning with Local Differential Privacy. CoRR abs/2006.03637 (2020) - [i10]Ka Ho Chow, Ling Liu, Mehmet Emre Gursoy, Stacey Truex, Wenqi Wei, Yanzhao Wu:
Understanding Object Detection Through An Adversarial Lens. CoRR abs/2007.05828 (2020) - [i9]Vale Tolpegin, Stacey Truex, Mehmet Emre Gursoy, Ling Liu:
Data Poisoning Attacks Against Federated Learning Systems. CoRR abs/2007.08432 (2020)
2010 – 2019
- 2019
- [j3]Stacey Truex, Nathalie Baracaldo, Ali Anwar
A Hybrid Approach to Privacy-Preserving Federated Learning - (Extended Abstract). Inform. Spektrum 42(5): 356-357 (2019) - [j2]Martine De Cock
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): 217-230 (2019) - [j1]Mehmet Emre Gursoy
Differentially Private and Utility Preserving Publication of Trajectory Data. IEEE Trans. Mob. Comput. 18(10): 2315-2329 (2019) - [c7]Stacey Truex, Nathalie Baracaldo, Ali Anwar
A Hybrid Approach to Privacy-Preserving Federated Learning. AISec@CCS 2019: 1-11 - [c6]Lei Yu
GRAHIES: Multi-Scale Graph Representation Learning with Latent Hierarchical Structure. CogMI 2019: 8-15 - [c5]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: 274-282 - [c4]Lei Yu
Differentially Private Model Publishing for Deep Learning. IEEE Symposium on Security and Privacy 2019: 332-349 - [c3]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: 82-91 - [i8]Lei Yu, Ling Liu, Calton Pu, Mehmet Emre Gursoy, Stacey Truex:
Differentially Private Model Publishing for Deep Learning. CoRR abs/1904.02200 (2019) - [i7]Mehmet Emre Gursoy, Acar Tamersoy, Stacey Truex, Wenqi Wei, Ling Liu:
Secure and Utility-Aware Data Collection with Condensed Local Differential Privacy. CoRR abs/1905.06361 (2019) - [i6]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 abs/1908.11091 (2019) - [i5]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 abs/1910.01742 (2019) - [i4]Stacey Truex, Ling Liu, Mehmet Emre Gursoy, Wenqi Wei, Lei Yu:
Effects of Differential Privacy and Data Skewness on Membership Inference Vulnerability. CoRR abs/1911.09777 (2019) - 2018
- [c2]Mehmet Emre Gursoy, Ling Liu, Stacey Truex, Lei Yu
Utility-Aware Synthesis of Differentially Private and Attack-Resilient Location Traces. CCS 2018: 196-211 - [i3]Wenqi Wei, Ling Liu, Stacey Truex, Lei Yu, Mehmet Emre Gursoy:
Adversarial Examples in Deep Learning: Characterization and Divergence. CoRR abs/1807.00051 (2018) - [i2]Stacey Truex, Ling Liu, Mehmet Emre Gursoy, Lei Yu, Wenqi Wei:
Towards Demystifying Membership Inference Attacks. CoRR abs/1807.09173 (2018) - [i1]Stacey Truex, Nathalie Baracaldo, Ali Anwar, Thomas Steinke, Heiko Ludwig, Rui Zhang:
A Hybrid Approach to Privacy-Preserving Federated Learning. CoRR abs/1812.03224 (2018) - 2017
- [c1]Stacey Truex, Ling Liu, Mehmet Emre Gursoy, Lei Yu
Privacy-Preserving Inductive Learning with Decision Trees. BigData Congress 2017: 57-64
Coauthor Index
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