Chow, Ka-Ho

9 publications

ICCV 2025 Geminio: Language-Guided Gradient Inversion Attacks in Federated Learning Junjie Shan, Ziqi Zhao, Jialin Lu, Rui Zhang, Siu Ming Yiu, Ka-Ho Chow

ICCV 2025 OCR Hinders RAG: Evaluating the Cascading Impact of OCR on Retrieval-Augmented Generation Junyuan Zhang, Qintong Zhang, Bin Wang, Linke Ouyang, Zichen Wen, Ying Li, Ka-Ho Chow, Conghui He, Wentao Zhang

WACV 2024 Adaptive Deep Neural Network Inference Optimization with EENet Fatih Ilhan, Ka-Ho Chow, Sihao Hu, Tiansheng Huang, Selim Tekin, Wenqi Wei, Yanzhao Wu, Myungjin Lee, Ramana Kompella, Hugo Latapie, Gaowen Liu, Ling Liu

IJCAI 2024 Imperio: Language-Guided Backdoor Attacks for Arbitrary Model Control Ka-Ho Chow, Wenqi Wei, Lei Yu

CVPRW 2024 On the Efficiency of Privacy Attacks in Federated Learning Nawrin Tabassum, Ka-Ho Chow, Xuyu Wang, Wenbin Zhang, Yanzhao Wu

ECCV 2024 Personalized Privacy Protection Mask Against Unauthorized Facial Recognition Ka-Ho Chow, Sihao Hu, Tiansheng Huang, Ling Liu

NeurIPS 2023 Lockdown: Backdoor Defense for Federated Learning with Isolated Subspace Training Tiansheng Huang, Sihao Hu, Ka-Ho Chow, Fatih Ilhan, Selim Tekin, Ling Liu

CVPR 2023 STDLens: Model Hijacking-Resilient Federated Learning for Object Detection Ka-Ho Chow, Ling Liu, Wenqi Wei, Fatih Ilhan, Yanzhao Wu

CVPR 2021 Boosting Ensemble Accuracy by Revisiting Ensemble Diversity Metrics Yanzhao Wu, Ling Liu, Zhongwei Xie, Ka-Ho Chow, Wenqi Wei