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Ka-Ho Chow

On the Efficiency of Privacy Attacks in Federated Learning

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Apr 15, 2024
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Robust Few-Shot Ensemble Learning with Focal Diversity-Based Pruning

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Apr 05, 2024
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A Survey of Privacy Threats and Defense in Vertical Federated Learning: From Model Life Cycle Perspective

Feb 06, 2024
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Imperio: Language-Guided Backdoor Attacks for Arbitrary Model Control

Jan 02, 2024
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Hierarchical Pruning of Deep Ensembles with Focal Diversity

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Nov 17, 2023
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Exploring Model Learning Heterogeneity for Boosting Ensemble Robustness

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Oct 03, 2023
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Securing Distributed SGD against Gradient Leakage Threats

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May 10, 2023
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STDLens: Model Hijacking-Resilient Federated Learning for Object Detection

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Mar 25, 2023
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EENet: Learning to Early Exit for Adaptive Inference

Jan 15, 2023
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Promoting High Diversity Ensemble Learning with EnsembleBench

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Oct 20, 2020
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