Ka-Ho Chow

28 papers A* 3A 4Journal 17Unranked 4
YearRankTypeTitle / Venue / Authors
2026 J jnl
Confundo: Learning to Generate Robust Poison for Practical RAG Systems.
CoRR
Haoyang Hu, Zhejun Jiang, Yueming Lyu, Junyuan Zhang, Yi Liu, Ka-Ho Chow
2025 J jnl
DOCR-Inspector: Fine-Grained and Automated Evaluation of Document Parsing with VLM.
CoRR
Qintong Zhang, Junyuan Zhang, Zhifei Ren, Linke Ouyang, Zichen Wen, Junbo Niu, Yuan Qu, Bin Wang, Ka-Ho Chow, Conghui He, Wentao Zhang
2025 A conf
Harmless Backdoor-based Client-side Watermarking in Federated Learning.
EuroS&P
Kaijing Luo, Ka-Ho Chow
2025 — conf
On the Adversarial Robustness of Graph Neural Networks with Graph Reduction.
ESORICS (1)
Kerui Wu, Ka-Ho Chow, Wenqi Wei, Lei Yu
2025 J jnl
Protego: User-Centric Pose-Invariant Privacy Protection Against Face Recognition-Induced Digital Footprint Exposure.
CoRR
Ziling Wang, Shuya Yang, Jialin Lu, Ka-Ho Chow
2025 J jnl
TRivia: Self-supervised Fine-tuning of Vision-Language Models for Table Recognition.
CoRR
Junyuan Zhang, Bin Wang, Qintong Zhang, Fan Wu, Zichen Wen, Jialin Lu, Junjie Shan, Ziqi Zhao, Shuya Yang, Ziling Wang, Ziyang Miao, Huaping Zhong, Yuhang Zang, Xiaoyi Dong, Ka-Ho Chow, Conghui He
2024 J jnl
A Survey of Privacy Threats and Defense in Vertical Federated Learning: From Model Life Cycle Perspective.
CoRR
Lei Yu, Meng Han, Yiming Li, Changting Lin, Yao Zhang, Mingyang Zhang, Yan Liu, Haiqin Weng, Yuseok Jeon, Ka-Ho Chow, Stacy Patterson
2024 A conf
Adaptive Deep Neural Network Inference Optimization with EENet.
WACV
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
2024 J jnl
AnywhereDoor: Multi-Target Backdoor Attacks on Object Detection.
CoRR
Jialin Lu, Junjie Shan, Ziqi Zhao, Ka-Ho Chow
2024 A conf
Atlas: Hybrid Cloud Migration Advisor for Interactive Microservices.
EuroSys
Ka-Ho Chow, Umesh Deshpande, Veera Deenadhayalan, Sangeetha Seshadri, Ling Liu
2024 J jnl
Building Gradient Bridges: Label Leakage from Restricted Gradient Sharing in Federated Learning.
CoRR
Rui Zhang, Ka-Ho Chow, Ping Li
2024 A conf
Demo: Visualizing the Shadows: Unveiling Data Poisoning Behaviors in Federated Learning.
ICDCS
Xueqing Zhang, Junkai Zhang, Ka-Ho Chow, Juntao Chen, Ying Mao, Mohamed Rahouti, Xiang Li, Yuchen Liu, Wenqi Wei
2024 J jnl
Diversity-driven Privacy Protection Masks Against Unauthorized Face Recognition.
Proc. Priv. Enhancing Technol.
Ka-Ho Chow, Sihao Hu, Tiansheng Huang, Fatih Ilhan, Wenqi Wei, Ling Liu
2024 J jnl
Geminio: Language-Guided Gradient Inversion Attacks in Federated Learning.
CoRR
Junjie Shan, Ziqi Zhao, Jialin Lu, Rui Zhang, Siu Ming Yiu, Ka-Ho Chow
2024 A* conf
Imperio: Language-Guided Backdoor Attacks for Arbitrary Model Control.
IJCAI
Ka-Ho Chow, Wenqi Wei, Lei Yu
2024 J jnl
OCR Hinders RAG: Evaluating the Cascading Impact of OCR on Retrieval-Augmented Generation.
CoRR
Junyuan Zhang, Qintong Zhang, Bin Wang, Linke Ouyang, Zichen Wen, Ying Li, Ka-Ho Chow, Conghui He, Wentao Zhang
2024 — conf
On the Efficiency of Privacy Attacks in Federated Learning.
CVPR Workshops
Nawrin Tabassum, Ka-Ho Chow, Xuyu Wang, Wenbin Zhang, Yanzhao Wu
2024 J jnl
On the Efficiency of Privacy Attacks in Federated Learning.
CoRR
Nawrin Tabassum, Ka-Ho Chow, Xuyu Wang, Wenbin Zhang, Yanzhao Wu
2024 — conf
On the Robustness of Graph Reduction Against GNN Backdoor.
AISec@CCS
Yuxuan Zhu, Michael Mandulak, Kerui Wu, George M. Slota, Yuseok Jeon, Ka-Ho Chow, Lei Yu
2024 J jnl
On the Robustness of Graph Reduction Against GNN Backdoor.
CoRR
Yuxuan Zhu, Michael Mandulak, Kerui Wu, George M. Slota, Yuseok Jeon, Ka-Ho Chow, Lei Yu
2024 — conf
Personalized Privacy Protection Mask Against Unauthorized Facial Recognition.
ECCV (82)
Ka-Ho Chow, Sihao Hu, Tiansheng Huang, Ling Liu
2024 J jnl
Personalized Privacy Protection Mask Against Unauthorized Facial Recognition.
CoRR
Ka-Ho Chow, Sihao Hu, Tiansheng Huang, Ling Liu
2024 J jnl
Robust Few-Shot Ensemble Learning with Focal Diversity-Based Pruning.
CoRR
Selim Furkan Tekin, Fatih Ilhan, Tiansheng Huang, Sihao Hu, Ka-Ho Chow, Margaret L. Loper, Ling Liu
2024 J jnl
Understanding the Impact of Graph Reduction on Adversarial Robustness in Graph Neural Networks.
CoRR
Kerui Wu, Ka-Ho Chow, Wenqi Wei, Lei Yu
2024 J jnl
Unharmful Backdoor-based Client-side Watermarking in Federated Learning.
CoRR
Kaijing Luo, Ka-Ho Chow
2024 J jnl
Visualizing the Shadows: Unveiling Data Poisoning Behaviors in Federated Learning.
CoRR
Xueqing Zhang, Junkai Zhang, Ka-Ho Chow, Juntao Chen, Ying Mao, Mohamed Rahouti, Xiang Li, Yuchen Liu, Wenqi Wei
2024 A* conf
ZipZap: Efficient Training of Language Models for Large-Scale Fraud Detection on Blockchain.
WWW
Sihao Hu, Tiansheng Huang, Ka-Ho Chow, Wenqi Wei, Yanzhao Wu, Ling Liu
2023 A* conf
Model Cloaking against Gradient Leakage.
ICDM
Wenqi Wei, Ka-Ho Chow, Fatih Ilhan, Yanzhao Wu, Ling Liu