Ka-Ho Chow

Identifiers

• name variant Ka-Ho Chow 0.60 · backfill

Papers (32)

1. Protego: User-Centric Pose-Invariant Privacy Protection Against Face Recognition-Induced Digital Footprint Exposure cs.CV · 2025 · author #4
2. AnywhereDoor: Multi-Target Backdoor Attacks on Object Detection cs.CR · 2025 · author #4
3. Building Gradient Bridges: Label Leakage from Restricted Gradient Sharing in Federated Learning cs.LG · 2024 · author #2
4. On the Adversarial Robustness of Graph Neural Networks with Graph Reduction cs.LG · 2024 · author #2
5. OCR Hinders RAG: Evaluating the Cascading Impact of OCR on Retrieval-Augmented Generation cs.CV · 2024 · author #7
6. Geminio: Language-Guided Gradient Inversion Attacks in Federated Learning cs.LG · 2024 · author #6
7. AnywhereDoor: Multi-Target Backdoor Attacks on Object Detection cs.CR · 2024 · author #4
8. Harmless Backdoor-based Client-side Watermarking in Federated Learning cs.CR · 2024 · author #2
9. Personalized Privacy Protection Mask Against Unauthorized Facial Recognition cs.CV · 2024 · author #1
10. On the Robustness of Graph Reduction Against GNN Backdoor cs.LG · 2024 · author #6
11. Visualizing the Shadows: Unveiling Data Poisoning Behaviors in Federated Learning cs.CR · 2024 · author #3
12. On the Efficiency of Privacy Attacks in Federated Learning cs.CR · 2024 · author #2
13. Robust Few-Shot Ensemble Learning with Focal Diversity-Based Pruning cs.CV · 2024 · author #5
14. A Survey of Privacy Threats and Defense in Vertical Federated Learning: From Model Life Cycle Perspective cs.CR · 2024 · author #10
15. Imperio: Language-Guided Backdoor Attacks for Arbitrary Model Control cs.CR · 2024 · author #1
16. Hierarchical Pruning of Deep Ensembles with Focal Diversity cs.LG · 2023 · author #2
17. Atlas: Hybrid Cloud Migration Advisor for Interactive Microservices cs.DC · 2023 · author #1
18. Exploring Model Learning Heterogeneity for Boosting Ensemble Robustness cs.CV · 2023 · author #2
19. Securing Distributed SGD against Gradient Leakage Threats cs.LG · 2023 · author #4
20. STDLens: Model Hijacking-Resilient Federated Learning for Object Detection cs.CR · 2023 · author #1
21. Adaptive Deep Neural Network Inference Optimization with EENet cs.LG · 2023 · author #2
22. Promoting High Diversity Ensemble Learning with EnsembleBench cs.LG · 2020 · author #5
23. Understanding Object Detection Through An Adversarial Lens cs.CR · 2020 · author #1
24. LDP-Fed: Federated Learning with Local Differential Privacy cs.LG · 2020 · author #3
25. A Framework for Evaluating Gradient Leakage Attacks in Federated Learning cs.LG · 2020 · author #4
26. TOG: Targeted Adversarial Objectness Gradient Attacks on Real-time Object Detection Systems cs.LG · 2020 · author #1
27. Cross-Layer Strategic Ensemble Defense Against Adversarial Examples cs.LG · 2019 · author #4
28. Deep Neural Network Ensembles against Deception: Ensemble Diversity, Accuracy and Robustness cs.LG · 2019 · author #3
29. Denoising and Verification Cross-Layer Ensemble Against Black-box Adversarial Attacks cs.LG · 2019 · author #1
30. Demystifying Learning Rate Policies for High Accuracy Training of Deep Neural Networks cs.LG · 2019 · author #4
31. DA-LSTM: A Long Short-Term Memory with Depth Adaptive to Non-uniform Information Flow in Sequential Data cs.NE · 2019 · author #2
32. Representation Learning of Pedestrian Trajectories Using Actor-Critic Sequence-to-Sequence Autoencoder cs.LG · 2018 · author #1

Mentions

• 2412.02592 #7 · arxiv_oai · confidence 0.70 Ka-Ho Chow
• 2508.02034 #4 · arxiv_oai · confidence 0.70 Ka-Ho Chow
• 2411.14937 #6 · arxiv_oai · confidence 0.70 Ka-Ho Chow
• 2412.05883 #2 · arxiv_oai · confidence 0.70 Ka-Ho Chow
• 2410.21179 #2 · arxiv_oai · confidence 0.70 Ka-Ho Chow
• 2411.14243 #4 · arxiv_oai · confidence 0.70 Ka-Ho Chow
• 2503.06529 #4 · arxiv_oai · confidence 0.70 Ka-Ho Chow
• 2412.12640 #2 · arxiv_oai · confidence 0.70 Ka-Ho Chow
• 2407.13975 #1 · arxiv_oai · confidence 0.70 Ka-Ho Chow
• 2407.02431 #6 · arxiv_oai · confidence 0.70 Ka-Ho Chow
• 2405.16707 #3 · arxiv_oai · confidence 0.70 Ka-Ho Chow
• 2404.09430 #2 · arxiv_oai · confidence 0.70 Ka-Ho Chow
• 2404.04434 #5 · arxiv_oai · confidence 0.70 Ka-Ho Chow
• 2401.01085 #1 · arxiv_oai · confidence 0.70 Ka-Ho Chow
• 2402.03688 #10 · arxiv_oai · confidence 0.70 Ka-Ho Chow
• 2301.07099 #2 · arxiv_oai · confidence 0.70 Ka-Ho Chow
• 2311.10293 #2 · arxiv_oai · confidence 0.70 Ka-Ho Chow
• 2311.06962 #1 · arxiv_oai · confidence 0.70 Ka-Ho Chow
• 2310.02237 #2 · arxiv_oai · confidence 0.70 Ka-Ho Chow
• 2303.11511 #1 · arxiv_oai · confidence 0.70 Ka-Ho Chow
• 2305.06473 #4 · arxiv_oai · confidence 0.70 Ka-Ho Chow
• 2010.10623 #5 · arxiv_oai · confidence 0.70 Ka-Ho Chow
• 2007.05828 #1 · arxiv_oai · confidence 0.70 Ka-Ho Chow
• 2006.03637 #3 · arxiv_oai · confidence 0.70 Ka-Ho Chow
• 2004.10397 #4 · arxiv_oai · confidence 0.70 Ka-Ho Chow
• 2004.04320 #1 · arxiv_oai · confidence 0.70 Ka-Ho Chow
• 1908.07667 #1 · arxiv_oai · confidence 0.70 Ka-Ho Chow
• 1908.06477 #4 · arxiv_oai · confidence 0.70 Ka-Ho Chow
• 1910.01742 #4 · arxiv_oai · confidence 0.70 Ka-Ho Chow
• 1908.11091 #3 · arxiv_oai · confidence 0.70 Ka-Ho Chow
• 1903.02082 #2 · arxiv_oai · confidence 0.70 Ka-Ho Chow
• 1811.08069 #1 · arxiv_oai · confidence 0.70 Ka-Ho Chow

Frequent Coauthors

• Ling Liu 17 shared papers
• Wenqi Wei 17 shared papers
• Yanzhao Wu 14 shared papers
• Stacey Truex 6 shared papers
• Lei Yu 5 shared papers
• Jialin Lu 4 shared papers
• Mehmet Emre Gursoy 4 shared papers
• Fatih Ilhan 3 shared papers
• Junjie Shan 3 shared papers
• Margaret Loper 3 shared papers
• Sihao Hu 3 shared papers
• Tiansheng Huang 3 shared papers
• Ziqi Zhao 3 shared papers
• Emre Gursoy 2 shared papers
• Juhyun Bae 2 shared papers
• Kerui Wu 2 shared papers
• Rui Zhang 2 shared papers
• S.-H. Gary Chan 2 shared papers
• Yifeng Zhang 2 shared papers
• Yuseok Jeon 2 shared papers