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Data Poisoning Attacks Against Federated Learning Systems


Aug 11, 2020
Vale Tolpegin, Stacey Truex, Mehmet Emre Gursoy, Ling Liu

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Understanding Object Detection Through An Adversarial Lens


Jul 11, 2020
Ka-Ho Chow, Ling Liu, Mehmet Emre Gursoy, Stacey Truex, Wenqi Wei, Yanzhao Wu

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LDP-Fed: Federated Learning with Local Differential Privacy


Jun 05, 2020
Stacey Truex, Ling Liu, Ka-Ho Chow, Mehmet Emre Gursoy, Wenqi Wei

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A Framework for Evaluating Gradient Leakage Attacks in Federated Learning


Apr 23, 2020
Wenqi Wei, Ling Liu, Margaret Loper, Ka-Ho Chow, Mehmet Emre Gursoy, Stacey Truex, Yanzhao Wu

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


Apr 09, 2020
Ka-Ho Chow, Ling Liu, Mehmet Emre Gursoy, Stacey Truex, Wenqi Wei, Yanzhao Wu

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TiFL: A Tier-based Federated Learning System


Jan 25, 2020
Zheng Chai, Ahsan Ali, Syed Zawad, Stacey Truex, Ali Anwar, Nathalie Baracaldo, Yi Zhou, Heiko Ludwig, Feng Yan, Yue Cheng

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Effects of Differential Privacy and Data Skewness on Membership Inference Vulnerability


Nov 21, 2019
Stacey Truex, Ling Liu, Mehmet Emre Gursoy, Wenqi Wei, Lei Yu

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Cross-Layer Strategic Ensemble Defense Against Adversarial Examples


Oct 01, 2019
Wenqi Wei, Ling Liu, Margaret Loper, Ka-Ho Chow, Emre Gursoy, Stacey Truex, Yanzhao Wu

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* To appear in IEEE ICNC 2020 
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Deep Neural Network Ensembles against Deception: Ensemble Diversity, Accuracy and Robustness


Aug 29, 2019
Ling Liu, Wenqi Wei, Ka-Ho Chow, Margaret Loper, Emre Gursoy, Stacey Truex, Yanzhao Wu

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* To appear in IEEE MASS 2019 
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