Ka Ho Chow

According to our database, Ka Ho Chow authored at least 40 papers between 2009 and 2024.

Collaborative distances:

• Dijkstra number of three.
• Erdős number of four.

2024

Hierarchical Pruning of Deep Ensembles with Focal Diversity.

Yanzhao Wu, Ka Ho Chow, Wenqi Wei, Ling Liu

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

Demystifying Data Poisoning Attacks in Distributed Learning as a Service.

Wenqi Wei, Ka Ho Chow, Yanzhao Wu, Ling Liu

IEEE Trans. Serv. Comput., 2024

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

Ka Ho Chow, Wenqi Wei, Lei Yu

CoRR, 2024

2023

Securing Distributed SGD Against Gradient Leakage Threats.

Wenqi Wei, Ling Liu, Jingya Zhou, Ka Ho Chow, Yanzhao Wu

IEEE Trans. Parallel Distributed Syst., July, 2023

Implicit Multimodal Crowdsourcing for Joint RF and Geomagnetic Fingerprinting.

Jiajie Tan, Hang Wu, Ka Ho Chow, S.-H. Gary Chan

IEEE Trans. Mob. Comput., 2023

Atlas: Hybrid Cloud Migration Advisor for Interactive Microservices.

Ka Ho Chow, Umesh Deshpande, Veera Deenadhayalan, Sangeetha Seshadri, Ling Liu

CoRR, 2023

EENet: Learning to Early Exit for Adaptive Inference.

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

CoRR, 2023

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

Fatih Ilhan, Selim Furkan Tekin, Sihao Hu, Tiansheng Huang, Ka Ho Chow, Ling Liu

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

SCAD: Scalability Advisor for Interactive Microservices on Hybrid Clouds.

Ka Ho Chow, Umesh Deshpande, Veera Deenadhayalan, Sangeetha Seshadri, Ling Liu

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

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

Tiansheng Huang, Sihao Hu, Ka Ho Chow, Fatih Ilhan, Selim F. Tekin, Ling Liu

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

Exploring Model Learning Heterogeneity for Boosting Ensemble Robustness.

Yanzhao Wu, Ka Ho Chow, Wenqi Wei, Ling Liu

Proceedings of the IEEE International Conference on Data Mining, 2023

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

Ka Ho Chow, Ling Liu, Wenqi Wei, Fatih Ilhan, Yanzhao Wu

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.

Mehmet Emre Gursoy, Ling Liu, Ka Ho Chow, Stacey Truex, Wenqi Wei

IEEE Trans. Inf. Forensics Secur., 2022

Boosting Object Detection Ensembles with Error Diversity.

Ka Ho Chow, Ling Liu

Proceedings of the IEEE International Conference on Data Mining, 2022

DeepRest: deep resource estimation for interactive microservices.

Ka Ho Chow, Umesh Deshpande, Sangeetha Seshadri, Ling Liu

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.

Stacey Truex, Ling Liu, Mehmet Emre Gursoy, Wenqi Wei, Ka Ho Chow

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

Perception Poisoning Attacks in Federated Learning.

Ka Ho Chow, Ling Liu

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

SRA: Smart Recovery Advisor for Cyber Attacks.

Ka Ho Chow, Umesh Deshpande, Sangeetha Seshadri, Ling Liu

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

Robust Object Detection Fusion Against Deception.

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.

Yanzhao Wu, Ling Liu, Zhongwei Xie, Ka Ho Chow, Wenqi Wei

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

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

Juhyun Bae, Ling Liu, Ka Ho Chow, Yanzhao Wu, Gong Su, Arun Iyengar

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

2020

A Framework for Evaluating Gradient Leakage Attacks in Federated Learning.

Wenqi Wei, Ling Liu, Margaret Loper, Ka Ho Chow, Mehmet Emre Gursoy, Stacey Truex, Yanzhao Wu

CoRR, 2020

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

Ka Ho Chow, Ling Liu, Mehmet Emre Gursoy, Stacey Truex, Wenqi Wei, Yanzhao Wu

CoRR, 2020

Adversarial Deception in Deep Learning: Analysis and Mitigation.

Wenqi Wei, Ling Liu, Margaret Loper, Ka Ho Chow, Mehmet Emre Gursoy, Stacey Truex, Yanzhao Wu

Proceedings of the Second IEEE International Conference on Trust, 2020

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

Ka Ho Chow, Ling Liu, Margaret Loper, Juhyun Bae, Mehmet Emre Gursoy, Stacey Truex, Wenqi Wei, Yanzhao Wu

Proceedings of the Second IEEE International Conference on Trust, 2020

Cross-Layer Strategic Ensemble Defense Against Adversarial Examples.

Wenqi Wei, Ling Liu, Margaret Loper, Ka Ho Chow, Mehmet Emre Gursoy, Stacey Truex, Yanzhao Wu

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

LDP-Fed: federated learning with local differential privacy.

Stacey Truex, Ling Liu, Ka Ho Chow, Mehmet Emre Gursoy, Wenqi Wei

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

A Framework for Evaluating Client Privacy Leakages in Federated Learning.

Wenqi Wei, Ling Liu, Margaret Loper, Ka Ho Chow, Mehmet Emre Gursoy, Stacey Truex, Yanzhao Wu

Proceedings of the Computer Security - ESORICS 2020, 2020

Understanding Object Detection Through an Adversarial Lens.

Ka Ho Chow, Ling Liu, Mehmet Emre Gursoy, Stacey Truex, Wenqi Wei, Yanzhao Wu

Proceedings of the Computer Security - ESORICS 2020, 2020

Promoting High Diversity Ensemble Learning with EnsembleBench.

Yanzhao Wu, Ling Liu, Zhongwei Xie, Juhyun Bae, Ka Ho Chow, Wenqi Wei

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

2019

Efficient Locality Classification for Indoor Fingerprint-Based Systems.

Ka Ho Chow, Suining He, Jiajie Tan, S.-H. Gary Chan

IEEE Trans. Mob. Comput., 2019

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

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

CoRR, 2019

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

Yifeng Zhang, Ka Ho Chow, S.-H. Gary Chan

CoRR, 2019

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

Ling Liu, Wenqi Wei, Ka Ho Chow, Margaret Loper, Mehmet Emre Gursoy, Stacey Truex, Yanzhao Wu

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.

Lei Yu, Qi Zhang, Donna Dillenberger, Ling Liu, Calton Pu, Ka Ho Chow, Mehmet Emre Gursoy, Stacey Truex, Hong Min, Arun Iyengar, Gong Su

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.

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

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

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

Ka Ho Chow, Wenqi Wei, Yanzhao Wu, Ling Liu

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.

Ka Ho Chow, Anish Hiranandani, Yifeng Zhang, S.-H. Gary Chan

CoRR, 2018

2014

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

King Lun Choy, Angappa Gunasekaran, Hoi Yan Lam, Ka Ho Chow, Yick Chi Tsim, Tsz Wing Ng, Ying Kei Tse, Xiao Ang Lu

J. Oper. Res. Soc., 2014

2009

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

King Lun Choy, Ka Ho Chow, Ka Leung Moon, Xin Zeng, Henry C. W. Lau, Felix T. S. Chan, George T. S. Ho

Eng. Appl. Artif. Intell., 2009