Ka-Ho Chow
8 papers · 2021–2025 · 6 conferences · across top CS/AI conferences
Achievements
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π Conference Polyglot (6) π Renaissance Researcher (6) π Interdisciplinary Bridge πΊοΈ Taxonomy Completionist (19) π§ Keyword Pioneer
π£
Hot Topic Early Bird
π
Cross-Pollinator
(15)
Conferences
CVPR (2)
ICCV (2)
ECCV (1)
IJCAI (1)
NIPS (1)
WACV (1)
Top co-authors
Research topics
Keywords
federated learning
(2)
privacy attack
(1)
model selection
(1)
ensemble learning
(1)
object detection
(1)
document understanding
(1)
efficient computing
(1)
knowledge base
(1)
early exit
(1)
adaptive inference
(1)
classification accuracy
(1)
backdoor attack
(1)
adversarial attack
(1)
deep neural network
(1)
language model
(1)
vision-language model
(1)
inference optimization
(1)
trigger generation
(1)
retrieval-augmented generation
(1)
model optimization
(1)
Papers
Geminio: Language-Guided Gradient Inversion Attacks in Federated Learning
ICCV 2025
OCR Hinders RAG: Evaluating the Cascading Impact of OCR on Retrieval-Augmented Generation
ICCV 2025
Adaptive Deep Neural Network Inference Optimization With EENet
WACV 2024
Personalized Privacy Protection Mask Against Unauthorized Facial Recognition
ECCV 2024
Imperio: Language-Guided Backdoor Attacks for Arbitrary Model Control
IJCAI 2024
Lockdown: Backdoor Defense for Federated Learning with Isolated Subspace Training
NIPS 2023
STDLens: Model Hijacking-Resilient Federated Learning for Object Detection
CVPR 2023
Boosting Ensemble Accuracy by Revisiting Ensemble Diversity Metrics
CVPR 2021