Ka-Ho Chow

This page is a disambiguation page, it actually contains mutiple papers from persons of the same or a similar name.

Bibliography

2024

Hierarchical Pruning of Deep Ensembles with Focal Diversity.

[BibT_eX]

[DOI]

ACM Trans. Intell. Syst. Technol., February, 2024

Robust Learning Frameworks and Algorithms for Scalable Data Systems.

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[DOI]

Ka Ho Chow

PhD thesis, 2024

Demystifying Data Poisoning Attacks in Distributed Learning as a Service.

[BibT_eX]

[DOI]

IEEE Trans. Serv. Comput., 2024

Diversity-driven Privacy Protection Masks Against Unauthorized Face Recognition.

[BibT_eX]

[DOI]

Proc. Priv. Enhancing Technol., 2024

Unharmful Backdoor-based Client-side Watermarking in Federated Learning.

[BibT_eX]

[DOI]

Kaijing Luo

Ka-Ho Chow

CoRR, 2024

On the Robustness of Graph Reduction Against GNN Backdoor.

[BibT_eX]

[DOI]

CoRR, 2024

Visualizing the Shadows: Unveiling Data Poisoning Behaviors in Federated Learning.

[BibT_eX]

[DOI]

CoRR, 2024

Robust Few-Shot Ensemble Learning with Focal Diversity-Based Pruning.

[BibT_eX]

[DOI]

CoRR, 2024

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

[BibT_eX]

[DOI]

CoRR, 2024

ZipZap: Efficient Training of Language Models for Large-Scale Fraud Detection on Blockchain.

[BibT_eX]

[DOI]

Proceedings of the ACM on Web Conference 2024, 2024

Adaptive Deep Neural Network Inference Optimization with EENet.

[BibT_eX]

[DOI]

Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision, 2024

Imperio: Language-Guided Backdoor Attacks for Arbitrary Model Control.

[BibT_eX]

[DOI]

Ka-Ho Chow

Wenqi Wei

Lei Yu

Proceedings of the Thirty-Third International Joint Conference on Artificial Intelligence, 2024

Demo: Visualizing the Shadows: Unveiling Data Poisoning Behaviors in Federated Learning.

[BibT_eX]

[DOI]

Proceedings of the 44th IEEE International Conference on Distributed Computing Systems, 2024

Atlas: Hybrid Cloud Migration Advisor for Interactive Microservices.

[BibT_eX]

[DOI]

Proceedings of the Nineteenth European Conference on Computer Systems, 2024

Personalized Privacy Protection Mask Against Unauthorized Facial Recognition.

[BibT_eX]

[DOI]

Proceedings of the Computer Vision - ECCV 2024, 2024

On the Efficiency of Privacy Attacks in Federated Learning.

[BibT_eX]

[DOI]

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024

On the Robustness of Graph Reduction Against GNN Backdoor.

[BibT_eX]

[DOI]

Proceedings of the 2024 Workshop on Artificial Intelligence and Security, 2024

2023

Securing Distributed SGD Against Gradient Leakage Threats.

[BibT_eX]

[DOI]

IEEE Trans. Parallel Distributed Syst., July, 2023

Implicit Multimodal Crowdsourcing for Joint RF and Geomagnetic Fingerprinting.

[BibT_eX]

[DOI]

IEEE Trans. Mob. Comput., 2023

EENet: Learning to Early Exit for Adaptive Inference.

[BibT_eX]

[DOI]

CoRR, 2023

Hierarchical Deep Neural Network Inference for Device-Edge-Cloud Systems.

[BibT_eX]

[DOI]

Proceedings of the Companion Proceedings of the ACM Web Conference 2023, 2023

SCAD: Scalability Advisor for Interactive Microservices on Hybrid Clouds.

[BibT_eX]

[DOI]

Proceedings of the Companion of the 2023 International Conference on Management of Data, 2023

Lockdown: Backdoor Defense for Federated Learning with Isolated Subspace Training.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Model Cloaking against Gradient Leakage.

[BibT_eX]

[DOI]

Proceedings of the IEEE International Conference on Data Mining, 2023

Exploring Model Learning Heterogeneity for Boosting Ensemble Robustness.

[BibT_eX]

[DOI]

Proceedings of the IEEE International Conference on Data Mining, 2023

STDLens: Model Hijacking-Resilient Federated Learning for Object Detection.

[BibT_eX]

[DOI]

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

2022

An Adversarial Approach to Protocol Analysis and Selection in Local Differential Privacy.

[BibT_eX]

[DOI]

IEEE Trans. Inf. Forensics Secur., 2022

Boosting Object Detection Ensembles with Error Diversity.

[BibT_eX]

[DOI]

Ka Ho Chow

Ling Liu

Proceedings of the IEEE International Conference on Data Mining, 2022

DeepRest: deep resource estimation for interactive microservices.

[BibT_eX]

[DOI]

Proceedings of the EuroSys '22: Seventeenth European Conference on Computer Systems, Rennes, France, April 5, 2022

2021

The TSC-PFed Architecture for Privacy-Preserving FL.

[BibT_eX]

[DOI]

Proceedings of the 3rd IEEE International Conference on Trust, 2021

Perception Poisoning Attacks in Federated Learning.

[BibT_eX]

[DOI]

Ka Ho Chow

Ling Liu

Proceedings of the 3rd IEEE International Conference on Trust, 2021

SRA: Smart Recovery Advisor for Cyber Attacks.

[BibT_eX]

[DOI]

Proceedings of the SIGMOD '21: International Conference on Management of Data, 2021

Robust Object Detection Fusion Against Deception.

[BibT_eX]

[DOI]

Ka Ho Chow

Ling Liu

Proceedings of the KDD '21: The 27th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2021

Boosting Ensemble Accuracy by Revisiting Ensemble Diversity Metrics.

[BibT_eX]

[DOI]

Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2021

Transparent Network Memory Storage for Efficient Container Execution in Big Data Clouds.

[BibT_eX]

[DOI]

Proceedings of the 2021 IEEE International Conference on Big Data (Big Data), 2021

2020

A Framework for Evaluating Gradient Leakage Attacks in Federated Learning.

[BibT_eX]

[DOI]

CoRR, 2020

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

[BibT_eX]

[DOI]

CoRR, 2020

Adversarial Deception in Deep Learning: Analysis and Mitigation.

[BibT_eX]

[DOI]

Proceedings of the Second IEEE International Conference on Trust, 2020

Adversarial Objectness Gradient Attacks in Real-time Object Detection Systems.

[BibT_eX]

[DOI]

Proceedings of the Second IEEE International Conference on Trust, 2020

Cross-Layer Strategic Ensemble Defense Against Adversarial Examples.

[BibT_eX]

[DOI]

Proceedings of the International Conference on Computing, Networking and Communications, 2020

LDP-Fed: federated learning with local differential privacy.

[BibT_eX]

[DOI]

Proceedings of the 3rd International Workshop on Edge Systems, Analytics and Networking, 2020

A Framework for Evaluating Client Privacy Leakages in Federated Learning.

[BibT_eX]

[DOI]

Proceedings of the Computer Security - ESORICS 2020, 2020

Understanding Object Detection Through an Adversarial Lens.

[BibT_eX]

[DOI]

Proceedings of the Computer Security - ESORICS 2020, 2020

Promoting High Diversity Ensemble Learning with EnsembleBench.

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[DOI]

Proceedings of the 2nd IEEE International Conference on Cognitive Machine Intelligence, 2020

2019

Efficient Locality Classification for Indoor Fingerprint-Based Systems.

[BibT_eX]

[DOI]

IEEE Trans. Mob. Comput., 2019

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

[BibT_eX]

[DOI]

CoRR, 2019

DA-LSTM: A Long Short-Term Memory with Depth Adaptive to Non-uniform Information Flow in Sequential Data.

[BibT_eX]

[DOI]

Yifeng Zhang

Ka Ho Chow

S.-H. Gary Chan

CoRR, 2019

Deep Neural Network Ensembles Against Deception: Ensemble Diversity, Accuracy and Robustness.

[BibT_eX]

[DOI]

Proceedings of the 16th IEEE International Conference on Mobile Ad Hoc and Sensor Systems, 2019

GRAHIES: Multi-Scale Graph Representation Learning with Latent Hierarchical Structure.

[BibT_eX]

[DOI]

Proceedings of the 2019 IEEE First International Conference on Cognitive Machine Intelligence (CogMI), 2019

Demystifying Learning Rate Policies for High Accuracy Training of Deep Neural Networks.

[BibT_eX]

[DOI]

Proceedings of the 2019 IEEE International Conference on Big Data (IEEE BigData), 2019

Denoising and Verification Cross-Layer Ensemble Against Black-box Adversarial Attacks.

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[DOI]

Proceedings of the 2019 IEEE International Conference on Big Data (IEEE BigData), 2019

2018

Representation Learning of Pedestrian Trajectories Using Actor-Critic Sequence-to-Sequence Autoencoder.

[BibT_eX]

[DOI]

CoRR, 2018

2014

Impact of information technology on the performance of logistics industry: the case of Hong Kong and Pearl Delta region.

[BibT_eX]

[DOI]

J. Oper. Res. Soc., 2014

2009

A RFID-case-based sample management system for fashion product development.

[BibT_eX]

[DOI]

Eng. Appl. Artif. Intell., 2009

Ka-Ho Chow

Bibliography

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