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Computational Morphology with Neural Network Approaches


May 19, 2021
Ling Liu


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De-Pois: An Attack-Agnostic Defense against Data Poisoning Attacks


May 08, 2021
Jian Chen, Xuxin Zhang, Rui Zhang, Chen Wang, Ling Liu

* To be published in IEEE Transactions on Information Forensics and Security 

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Can a Transformer Pass the Wug Test? Tuning Copying Bias in Neural Morphological Inflection Models


Apr 13, 2021
Ling Liu, Mans Hulden


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Promoting High Diversity Ensemble Learning with EnsembleBench


Oct 20, 2020
Yanzhao Wu, Ling Liu, Zhongwei Xie, Juhyun Bae, Ka-Ho Chow, Wenqi Wei


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Robust Deep Learning Ensemble against Deception


Sep 14, 2020
Wenqi Wei, Ling Liu


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Utility-Optimized Synthesis of Differentially Private Location Traces


Sep 14, 2020
Mehmet Emre Gursoy, Vivekanand Rajasekar, Ling Liu


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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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Bitcoin Transaction Forecasting with Deep Network Representation Learning


Jul 15, 2020
Wenqi Wei, Qi Zhang, 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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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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Differentially Private Model Publishing for Deep Learning


May 05, 2019
Lei Yu, Ling Liu, Calton Pu, Mehmet Emre Gursoy, Stacey Truex

* Proceedings of the 40th IEEE Symposium on Security and Privacy (Oakland), 2019 

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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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