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Ka-Ho Chow

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A Survey of Privacy Threats and Defense in Vertical Federated Learning: From Model Life Cycle Perspective

Feb 06, 2024
Lei Yu, Meng Han, Yiming Li, Changting Lin, Yao Zhang, Mingyang Zhang, Yan Liu, Haiqin Weng, Yuseok Jeon, Ka-Ho Chow, Stacy Patterson

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Imperio: Language-Guided Backdoor Attacks for Arbitrary Model Control

Jan 02, 2024
Ka-Ho Chow, Wenqi Wei, Lei Yu

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Hierarchical Pruning of Deep Ensembles with Focal Diversity

Nov 17, 2023
Yanzhao Wu, Ka-Ho Chow, Wenqi Wei, Ling Liu

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Exploring Model Learning Heterogeneity for Boosting Ensemble Robustness

Oct 03, 2023
Yanzhao Wu, Ka-Ho Chow, Wenqi Wei, Ling Liu

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Securing Distributed SGD against Gradient Leakage Threats

May 10, 2023
Wenqi Wei, Ling Liu, Jingya Zhou, Ka-Ho Chow, Yanzhao Wu

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STDLens: Model Hijacking-Resilient Federated Learning for Object Detection

Mar 25, 2023
Ka-Ho Chow, Ling Liu, Wenqi Wei, Fatih Ilhan, Yanzhao Wu

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EENet: Learning to Early Exit for Adaptive Inference

Jan 15, 2023
Fatih Ilhan, Ling Liu, Ka-Ho Chow, Wenqi Wei, Yanzhao Wu, Myungjin Lee, Ramana Kompella, Hugo Latapie, Gaowen Liu

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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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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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