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ORCIDKa-Ho Chow
This is just a disambiguation page, and is not intended to be the bibliography of an actual person. Any publication listed on this page has not been assigned to an actual author yet. If you know the true author of one of the publications listed below, you are welcome to contact us.
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2020 – today
- 2024
[b1]Ka Ho Chow:
Robust Learning Frameworks and Algorithms for Scalable Data Systems. Georgia Institute of Technology, Atlanta, GA, USA, 2024- [j9]Ka-Ho Chow, Sihao Hu, Tiansheng Huang, Fatih Ilhan
, Wenqi Wei, Ling Liu:
Diversity-driven Privacy Protection Masks Against Unauthorized Face Recognition. Proc. Priv. Enhancing Technol. 2024(4): 381-392 (2024) - [j8]Yanzhao Wu, Ka Ho Chow, Wenqi Wei, Ling Liu:
Hierarchical Pruning of Deep Ensembles with Focal Diversity. ACM Trans. Intell. Syst. Technol. 15(1): 15:1-15:24 (2024) - [j7]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): 237-250 (2024) - [c33]Yuxuan Zhu, Michael Mandulak, Kerui Wu, George M. Slota, Yuseok Jeon, Ka-Ho Chow, Lei Yu:
On the Robustness of Graph Reduction Against GNN Backdoor. AISec@CCS 2024: 65-76 - [c32]Nawrin Tabassum, Ka-Ho Chow, Xuyu Wang, Wenbin Zhang, Yanzhao Wu:
On the Efficiency of Privacy Attacks in Federated Learning. CVPR Workshops 2024: 4226-4235 - [c31]Ka-Ho Chow, Sihao Hu, Tiansheng Huang, Ling Liu:
Personalized Privacy Protection Mask Against Unauthorized Facial Recognition. ECCV (82) 2024: 434-450 - [c30]Ka-Ho Chow, Umesh Deshpande, Veera Deenadhayalan, Sangeetha Seshadri, Ling Liu:
Atlas: Hybrid Cloud Migration Advisor for Interactive Microservices. EuroSys 2024: 870-887 - [c29]Xueqing Zhang, Junkai Zhang, Ka-Ho Chow, Juntao Chen, Ying Mao, Mohamed Rahouti, Xiang Li, Yuchen Liu, Wenqi Wei:
Demo: Visualizing the Shadows: Unveiling Data Poisoning Behaviors in Federated Learning. ICDCS 2024: 1431-1434 - [c28]Ka-Ho Chow, Wenqi Wei, Lei Yu:
Imperio: Language-Guided Backdoor Attacks for Arbitrary Model Control. IJCAI 2024: 704-712 - [c27]Fatih Ilhan, Ka-Ho Chow, Sihao Hu, Tiansheng Huang, Selim F. Tekin, Wenqi Wei, Yanzhao Wu, Myungjin Lee, Ramana Kompella, Hugo Latapie, Gaowen Liu, Ling Liu:
Adaptive Deep Neural Network Inference Optimization with EENet. WACV 2024: 1362-1371 - [c26]Sihao Hu, Tiansheng Huang, Ka-Ho Chow, Wenqi Wei, Yanzhao Wu, Ling Liu:
ZipZap: Efficient Training of Language Models for Large-Scale Fraud Detection on Blockchain. WWW 2024: 2807-2816 - [i25]Ka Ho Chow, Wenqi Wei, Lei Yu:
Imperio: Language-Guided Backdoor Attacks for Arbitrary Model Control. CoRR abs/2401.01085 (2024) - [i24]Lei Yu, Meng Han, Yiming Li, Changting Lin, Yao Zhang, Mingyang Zhang, Yan Liu, Haiqin Weng, Yuseok Jeon, Ka-Ho Chow, Stacy Patterson:
A Survey of Privacy Threats and Defense in Vertical Federated Learning: From Model Life Cycle Perspective. CoRR abs/2402.03688 (2024) - [i23]Selim Furkan Tekin, Fatih Ilhan, Tiansheng Huang, Sihao Hu, Ka-Ho Chow, Margaret L. Loper, Ling Liu:
Robust Few-Shot Ensemble Learning with Focal Diversity-Based Pruning. CoRR abs/2404.04434 (2024) - [i22]Nawrin Tabassum, Ka-Ho Chow, Xuyu Wang, Wenbin Zhang, Yanzhao Wu:
On the Efficiency of Privacy Attacks in Federated Learning. CoRR abs/2404.09430 (2024) - [i21]Xueqing Zhang, Junkai Zhang, Ka-Ho Chow, Juntao Chen, Ying Mao, Mohamed Rahouti, Xiang Li, Yuchen Liu, Wenqi Wei:
Visualizing the Shadows: Unveiling Data Poisoning Behaviors in Federated Learning. CoRR abs/2405.16707 (2024) - [i20]Yuxuan Zhu, Michael Mandulak, Kerui Wu, George M. Slota, Yuseok Jeon, Ka-Ho Chow, Lei Yu:
On the Robustness of Graph Reduction Against GNN Backdoor. CoRR abs/2407.02431 (2024) - [i19]Ka-Ho Chow, Sihao Hu, Tiansheng Huang, Ling Liu:
Personalized Privacy Protection Mask Against Unauthorized Facial Recognition. CoRR abs/2407.13975 (2024) - [i18]Kaijing Luo, Ka-Ho Chow:
Unharmful Backdoor-based Client-side Watermarking in Federated Learning. CoRR abs/2410.21179 (2024) - 2023
- [j6]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): 935-950 (2023) - [j5]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): 2040-2054 (2023) - [c25]Ka Ho Chow, Ling Liu, Wenqi Wei, Fatih Ilhan, Yanzhao Wu:
STDLens: Model Hijacking-Resilient Federated Learning for Object Detection. CVPR 2023: 16343-16351 - [c24]Yanzhao Wu, Ka Ho Chow, Wenqi Wei, Ling Liu:
Exploring Model Learning Heterogeneity for Boosting Ensemble Robustness. ICDM 2023: 648-657 - [c23]Wenqi Wei, Ka-Ho Chow, Fatih Ilhan, Yanzhao Wu, Ling Liu:
Model Cloaking against Gradient Leakage. ICDM 2023: 1403-1408 - [c22]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 - [c21]Ka Ho Chow, Umesh Deshpande, Veera Deenadhayalan, Sangeetha Seshadri, Ling Liu:
SCAD: Scalability Advisor for Interactive Microservices on Hybrid Clouds. SIGMOD Conference Companion 2023: 127-130 - [c20]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: 302-305 - [i17]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 abs/2301.07099 (2023) - [i16]Ka Ho Chow, Ling Liu, Wenqi Wei, Fatih Ilhan, Yanzhao Wu:
STDLens: Model Hijacking-Resilient Federated Learning for Object Detection. CoRR abs/2303.11511 (2023) - [i15]Wenqi Wei, Ling Liu, Jingya Zhou, Ka Ho Chow, Yanzhao Wu:
Securing Distributed SGD against Gradient Leakage Threats. CoRR abs/2305.06473 (2023) - [i14]Yanzhao Wu, Ka Ho Chow, Wenqi Wei, Ling Liu:
Exploring Model Learning Heterogeneity for Boosting Ensemble Robustness. CoRR abs/2310.02237 (2023) - [i13]Ka Ho Chow, Umesh Deshpande, Veera Deenadhayalan, Sangeetha Seshadri, Ling Liu:
Atlas: Hybrid Cloud Migration Advisor for Interactive Microservices. CoRR abs/2311.06962 (2023) - [i12]Yanzhao Wu, Ka Ho Chow, Wenqi Wei, Ling Liu:
Hierarchical Pruning of Deep Ensembles with Focal Diversity. CoRR abs/2311.10293 (2023) - 2022
- [j4]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: 1785-1799 (2022) - [c19]Ka Ho Chow, Umesh Deshpande, Sangeetha Seshadri, Ling Liu:
DeepRest: deep resource estimation for interactive microservices. EuroSys 2022: 181-198 - [c18]Ka Ho Chow, Ling Liu:
Boosting Object Detection Ensembles with Error Diversity. ICDM 2022: 903-908 - 2021
- [c17]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: 76-85 - [c16]Yanzhao Wu, Ling Liu, Zhongwei Xie, Ka Ho Chow, Wenqi Wei:
Boosting Ensemble Accuracy by Revisiting Ensemble Diversity Metrics. CVPR 2021: 16469-16477 - [c15]Ka Ho Chow, Ling Liu:
Robust Object Detection Fusion Against Deception. KDD 2021: 2703-2713 - [c14]Ka Ho Chow, Umesh Deshpande, Sangeetha Seshadri, Ling Liu:
SRA: Smart Recovery Advisor for Cyber Attacks. SIGMOD Conference 2021: 2691-2695 - [c13]Ka Ho Chow, Ling Liu:
Perception Poisoning Attacks in Federated Learning. TPS-ISA 2021: 146-155 - [c12]Stacey Truex, Ling Liu, Mehmet Emre Gursoy, Wenqi Wei, Ka Ho Chow:
The TSC-PFed Architecture for Privacy-Preserving FL. TPS-ISA 2021: 207-216 - 2020
- [c11]Yanzhao Wu, Ling Liu, Zhongwei Xie, Juhyun Bae, Ka Ho Chow, Wenqi Wei:
Promoting High Diversity Ensemble Learning with EnsembleBench. CogMI 2020: 208-217 - [c10]Ka Ho Chow, Ling Liu, Mehmet Emre Gursoy, Stacey Truex, Wenqi Wei, Yanzhao Wu:
Understanding Object Detection Through an Adversarial Lens. ESORICS (2) 2020: 460-481 - [c9]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: 545-566 - [c8]Stacey Truex, Ling Liu, Ka Ho Chow, Mehmet Emre Gursoy, Wenqi Wei:
LDP-Fed: federated learning with local differential privacy. EdgeSys@EuroSys 2020: 61-66 - [c7]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: 456-460 - [c6]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: 236-245 - [c5]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: 263-272 - [i11]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 abs/2004.04320 (2020) - [i10]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 abs/2004.10397 (2020) - [i9]Stacey Truex, Ling Liu, Ka Ho Chow, Mehmet Emre Gursoy, Wenqi Wei:
LDP-Fed: Federated Learning with Local Differential Privacy. CoRR abs/2006.03637 (2020) - [i8]Ka Ho Chow, Ling Liu, Mehmet Emre Gursoy, Stacey Truex, Wenqi Wei, Yanzhao Wu:
Understanding Object Detection Through An Adversarial Lens. CoRR abs/2007.05828 (2020) - [i7]Yanzhao Wu, Ling Liu, Zhongwei Xie, Juhyun Bae, Ka Ho Chow, Wenqi Wei:
Promoting High Diversity Ensemble Learning with EnsembleBench. CoRR abs/2010.10623 (2020)
2010 – 2019
- 2019
- [j3]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): 290-304 (2019) - [c4]Ka Ho Chow, Wenqi Wei, Yanzhao Wu, Ling Liu:
Denoising and Verification Cross-Layer Ensemble Against Black-box Adversarial Attacks. IEEE BigData 2019: 1282-1291 - [c3]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: 1971-1980 - [c2]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: 8-15 - [c1]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: 274-282 - [i6]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 abs/1903.02082 (2019) - [i5]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 abs/1908.06477 (2019) - [i4]Ka Ho Chow, Wenqi Wei, Yanzhao Wu, Ling Liu:
Denoising and Verification Cross-Layer Ensemble Against Black-box Adversarial Attacks. CoRR abs/1908.07667 (2019) - [i3]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 abs/1908.11091 (2019) - [i2]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 abs/1910.01742 (2019) - 2018
- [i1]Ka Ho Chow, Anish Hiranandani, Yifeng Zhang, S.-H. Gary Chan:
Representation Learning of Pedestrian Trajectories Using Actor-Critic Sequence-to-Sequence Autoencoder. CoRR abs/1811.08069 (2018) - 2014
- [j2]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): 904-916 (2014)
2000 – 2009
- 2009
- [j1]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): 882-896 (2009)
Coauthor Index
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