Ka Ho Chow

Publication Activity (10 Years)

Years Active: 2009-2024
Publications (10 Years): 48

Top Topics

Neural Network Ensembles

Ensemble Learning

Differential Privacy

Top Venues

IEEE Trans. Mob. Comput.

Publications

Yanzhao Wu, Ka Ho Chow, Wenqi Wei, Ling Liu
Hierarchical Pruning of Deep Ensembles with Focal Diversity. ACM Trans. Intell. Syst. Technol. 15 (1) (2024)
Wenqi Wei, Ka Ho Chow, Yanzhao Wu, Ling Liu
Demystifying Data Poisoning Attacks in Distributed Learning as a Service. IEEE Trans. Serv. Comput. 17 (1) (2024)
Ka Ho Chow, Wenqi Wei, Lei Yu
Imperio: Language-Guided Backdoor Attacks for Arbitrary Model Control. CoRR (2024)
Fatih Ilhan, Ling Liu, Ka Ho Chow, Wenqi Wei, Yanzhao Wu, Myungjin Lee, Ramana Kompella, Hugo Latapie, Gaowen Liu
EENet: Learning to Early Exit for Adaptive Inference. CoRR (2023)
Ka Ho Chow, Umesh Deshpande, Veera Deenadhayalan, Sangeetha Seshadri, Ling Liu
Atlas: Hybrid Cloud Migration Advisor for Interactive Microservices. CoRR (2023)
Yanzhao Wu, Ka Ho Chow, Wenqi Wei, Ling Liu
Exploring Model Learning Heterogeneity for Boosting Ensemble Robustness. ICDM (2023)
Tiansheng Huang, Sihao Hu, Ka Ho Chow, Fatih Ilhan, Selim F. Tekin, Ling Liu
Lockdown: Backdoor Defense for Federated Learning with Isolated Subspace Training. NeurIPS (2023)
Yanzhao Wu, Ka Ho Chow, Wenqi Wei, Ling Liu
Exploring Model Learning Heterogeneity for Boosting Ensemble Robustness. CoRR (2023)
Fatih Ilhan, Selim Furkan Tekin, Sihao Hu, Tiansheng Huang, Ka Ho Chow, Ling Liu
Hierarchical Deep Neural Network Inference for Device-Edge-Cloud Systems. WWW (Companion Volume) (2023)
Ka Ho Chow, Ling Liu, Wenqi Wei, Fatih Ilhan, Yanzhao Wu
STDLens: Model Hijacking-resilient Federated Learning for Object Detection. CoRR (2023)
Wenqi Wei, Ling Liu, Jingya Zhou, Ka Ho Chow, Yanzhao Wu
Securing Distributed SGD Against Gradient Leakage Threats. IEEE Trans. Parallel Distributed Syst. 34 (7) (2023)
Yanzhao Wu, Ka Ho Chow, Wenqi Wei, Ling Liu
Hierarchical Pruning of Deep Ensembles with Focal Diversity. CoRR (2023)
Ka Ho Chow, Umesh Deshpande, Veera Deenadhayalan, Sangeetha Seshadri, Ling Liu
SCAD: Scalability Advisor for Interactive Microservices on Hybrid Clouds. SIGMOD Conference Companion (2023)
Jiajie Tan, Hang Wu, Ka Ho Chow, S.-H. Gary Chan
Implicit Multimodal Crowdsourcing for Joint RF and Geomagnetic Fingerprinting. IEEE Trans. Mob. Comput. 22 (2) (2023)
Wenqi Wei, Ling Liu, Jingya Zhou, Ka Ho Chow, Yanzhao Wu
Securing Distributed SGD against Gradient Leakage Threats. CoRR (2023)
Ka Ho Chow, Ling Liu, Wenqi Wei, Fatih Ilhan, Yanzhao Wu
STDLens: Model Hijacking-Resilient Federated Learning for Object Detection. CVPR (2023)
Mehmet Emre Gursoy, Ling Liu, Ka Ho Chow, Stacey Truex, Wenqi Wei
An Adversarial Approach to Protocol Analysis and Selection in Local Differential Privacy. IEEE Trans. Inf. Forensics Secur. 17 (2022)
Ka Ho Chow, Ling Liu
Boosting Object Detection Ensembles with Error Diversity. ICDM (2022)
Ka Ho Chow, Umesh Deshpande, Sangeetha Seshadri, Ling Liu
DeepRest: deep resource estimation for interactive microservices. EuroSys (2022)
Yanzhao Wu, Ling Liu, Zhongwei Xie, Ka Ho Chow, Wenqi Wei
Boosting Ensemble Accuracy by Revisiting Ensemble Diversity Metrics. CVPR (2021)
Ka Ho Chow, Umesh Deshpande, Sangeetha Seshadri, Ling Liu
SRA: Smart Recovery Advisor for Cyber Attacks. SIGMOD Conference (2021)
Juhyun Bae, Ling Liu, Ka Ho Chow, Yanzhao Wu, Gong Su, Arun Iyengar
Transparent Network Memory Storage for Efficient Container Execution in Big Data Clouds. IEEE BigData (2021)
Ka Ho Chow, Ling Liu
Perception Poisoning Attacks in Federated Learning. TPS-ISA (2021)
Ka Ho Chow, Ling Liu
Robust Object Detection Fusion Against Deception. KDD (2021)
Stacey Truex, Ling Liu, Mehmet Emre Gursoy, Wenqi Wei, Ka Ho Chow
The TSC-PFed Architecture for Privacy-Preserving FL. TPS-ISA (2021)
Wenqi Wei, Ling Liu, Margaret Loper, Ka Ho Chow, Mehmet Emre Gursoy, Stacey Truex, Yanzhao Wu
Cross-Layer Strategic Ensemble Defense Against Adversarial Examples. ICNC (2020)
Yanzhao Wu, Ling Liu, Zhongwei Xie, Juhyun Bae, Ka Ho Chow, Wenqi Wei
Promoting High Diversity Ensemble Learning with EnsembleBench. CogMI (2020)
Stacey Truex, Ling Liu, Ka Ho Chow, Mehmet Emre Gursoy, Wenqi Wei
LDP-Fed: Federated Learning with Local Differential Privacy. CoRR (2020)
Wenqi Wei, Ling Liu, Margaret Loper, Ka Ho Chow, Mehmet Emre Gursoy, Stacey Truex, Yanzhao Wu
Adversarial Deception in Deep Learning: Analysis and Mitigation. TPS-ISA (2020)
Wenqi Wei, Ling Liu, Margaret Loper, Ka Ho Chow, Mehmet Emre Gursoy, Stacey Truex, Yanzhao Wu
A Framework for Evaluating Client Privacy Leakages in Federated Learning. ESORICS (1) (2020)
Ka Ho Chow, Ling Liu, Margaret Loper, Juhyun Bae, Mehmet Emre Gursoy, Stacey Truex, Wenqi Wei, Yanzhao Wu
Adversarial Objectness Gradient Attacks in Real-time Object Detection Systems. TPS-ISA (2020)
Ka Ho Chow, Ling Liu, Mehmet Emre Gursoy, Stacey Truex, Wenqi Wei, Yanzhao Wu
Understanding Object Detection Through An Adversarial Lens. CoRR (2020)
Yanzhao Wu, Ling Liu, Zhongwei Xie, Juhyun Bae, Ka Ho Chow, Wenqi Wei
Promoting High Diversity Ensemble Learning with EnsembleBench. CoRR (2020)
Ka Ho Chow, Ling Liu, Mehmet Emre Gursoy, Stacey Truex, Wenqi Wei, Yanzhao Wu
Understanding Object Detection Through an Adversarial Lens. ESORICS (2) (2020)
Wenqi Wei, Ling Liu, Margaret Loper, Ka Ho Chow, Mehmet Emre Gursoy, Stacey Truex, Yanzhao Wu
A Framework for Evaluating Gradient Leakage Attacks in Federated Learning. CoRR (2020)
Ka Ho Chow, Ling Liu, Mehmet Emre Gursoy, Stacey Truex, Wenqi Wei, Yanzhao Wu
TOG: Targeted Adversarial Objectness Gradient Attacks on Real-time Object Detection Systems. CoRR (2020)
Stacey Truex, Ling Liu, Ka Ho Chow, Mehmet Emre Gursoy, Wenqi Wei
LDP-Fed: federated learning with local differential privacy. EdgeSys@EuroSys (2020)
Wenqi Wei, Ling Liu, Margaret Loper, Ka Ho Chow, Mehmet Emre Gursoy, Stacey Truex, Yanzhao Wu
Cross-Layer Strategic Ensemble Defense Against Adversarial Examples. CoRR (2019)
Yanzhao Wu, Ling Liu, Juhyun Bae, Ka Ho Chow, Arun Iyengar, Calton Pu, Wenqi Wei, Lei Yu, Qi Zhang
Demystifying Learning Rate Polices for High Accuracy Training of Deep Neural Networks. CoRR (2019)
Yifeng Zhang, Ka Ho Chow, S.-H. Gary Chan
DA-LSTM: A Long Short-Term Memory with Depth Adaptive to Non-uniform Information Flow in Sequential Data. CoRR (2019)
Ka Ho Chow, Wenqi Wei, Yanzhao Wu, Ling Liu
Denoising and Verification Cross-Layer Ensemble Against Black-box Adversarial Attacks. IEEE BigData (2019)
Lei Yu, Qi Zhang, Donna Dillenberger, Ling Liu, Calton Pu, Ka Ho Chow, Mehmet Emre Gursoy, Stacey Truex, Hong Min, Arun Iyengar, Gong Su
GRAHIES: Multi-Scale Graph Representation Learning with Latent Hierarchical Structure. CogMI (2019)
Ling Liu, Wenqi Wei, Ka Ho Chow, Margaret Loper, Mehmet Emre Gursoy, Stacey Truex, Yanzhao Wu
Deep Neural Network Ensembles against Deception: Ensemble Diversity, Accuracy and Robustness. CoRR (2019)
Ka Ho Chow, Suining He, Jiajie Tan, S.-H. Gary Chan
Efficient Locality Classification for Indoor Fingerprint-Based Systems. IEEE Trans. Mob. Comput. 18 (2) (2019)
Yanzhao Wu, Ling Liu, Juhyun Bae, Ka Ho Chow, Arun Iyengar, Calton Pu, Wenqi Wei, Lei Yu, Qi Zhang
Demystifying Learning Rate Policies for High Accuracy Training of Deep Neural Networks. IEEE BigData (2019)
Ling Liu, Wenqi Wei, Ka Ho Chow, Margaret Loper, Mehmet Emre Gursoy, Stacey Truex, Yanzhao Wu
Deep Neural Network Ensembles Against Deception: Ensemble Diversity, Accuracy and Robustness. MASS (2019)
Ka Ho Chow, Wenqi Wei, Yanzhao Wu, Ling Liu
Denoising and Verification Cross-Layer Ensemble Against Black-box Adversarial Attacks. CoRR (2019)
Ka Ho Chow, Anish Hiranandani, Yifeng Zhang, S.-H. Gary Chan
Representation Learning of Pedestrian Trajectories Using Actor-Critic Sequence-to-Sequence Autoencoder. CoRR (2018)
King Lun Choy, Angappa Gunasekaran, Hoi Yan Lam, Ka Ho Chow, Yick Chi Tsim, Tsz Wing Ng, Ying Kei Tse, Xiao Ang Lu
Impact of information technology on the performance of logistics industry: the case of Hong Kong and Pearl Delta region. J. Oper. Res. Soc. 65 (6) (2014)
King Lun Choy, Ka Ho Chow, Ka Leung Moon, Xin Zeng, Henry C. W. Lau, Felix T. S. Chan, George T. S. Ho
A RFID-case-based sample management system for fashion product development. Eng. Appl. Artif. Intell. 22 (6) (2009)