Yongbin Zhou
7 papers · 2024–2026 · 5 venues · across top CS/AI venues
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Achievements
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Conference Polyglot · Silver
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Interdisciplinary Bridge · Bronze
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Taxonomy Completionist
(18)
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Research topics
Keywords
adversarial robustness
(2)
knowledge distillation
(2)
adversarial defense
(2)
benchmark evaluation
(1)
transfer learning
(1)
model robustness
(1)
multimodal learning
(1)
point cloud
(1)
prompt learning
(1)
corruption robustness
(1)
distribution shift
(1)
shape features
(1)
adversarial attack
(1)
black-box attack
(1)
image corruption
(1)
multimodal large language model
(1)
adversarial example
(1)
large vision-language model
(1)
3d point cloud
(1)
contrastive decoding
(1)
Papers
Multimodal Robust Prompt Distillation for 3D Point Cloud Models
AAAI 2026
Revisiting Visual Corruptions in LVLMs: A Shape-Texture Perspective on Model Failures
CVPR 2026
Benchmarking Multimodal Large Language Models Against Image Corruptions
ICCV 2025
CIARD: Cyclic Iterative Adversarial Robustness Distillation
ICCV 2025
Towards a 3D Transfer-based Black-box Attack via Critical Feature Guidance
ICCV 2025
Shape-Biased CNNs Are Not Always Superior in Out-of-Distribution Robustness
WACV 2024
"Veil Privacy on Visual Data: Concealing Privacy for Humans, Unveiling for DNNs"
ECCV 2024