Wenqi Wei
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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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

* 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

* To appear in IEEE MASS 2019 
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Denoising and Verification Cross-Layer Ensemble Against Black-box Adversarial Attacks

Aug 21, 2019
Ka-Ho Chow, Wenqi Wei, Yanzhao Wu, Ling Liu


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Demystifying Learning Rate Polices for High Accuracy Training of Deep Neural Networks

Aug 18, 2019
Yanzhao Wu, Ling Liu, Juhyun Bae, Ka-Ho Chow, Arun Iyengar, Calton Pu, Wenqi Wei, Lei Yu, Qi Zhang


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A Comparative Measurement Study of Deep Learning as a Service Framework

Oct 29, 2018
Yanzhao Wu, Ling Liu, Calton Pu, Wenqi Cao, Semih Sahin, Wenqi Wei, Qi Zhang


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Adversarial Examples in Deep Learning: Characterization and Divergence

Oct 29, 2018
Wenqi Wei, Ling Liu, Stacey Truex, Lei Yu, Mehmet Emre Gursoy, Yanzhao Wu


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