Weibin Wu
15 papers · 2020–2026 · 4 venues · across top CS/AI venues
Authors are matched by name, so researchers who share a name ("Yang Liu", "Wei Wang") appear as a single profile and their paper counts, venues and achievements are combined. How identity is handled.
Achievements
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πΊοΈ Taxonomy Completionist (32) π Academic Marathon Β· Sprint π Conference Polyglot Β· Bronze π Interdisciplinary Bridge Β· Bronze π€ Dynamic Duo (10)
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Dynamic Duo
(10)
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(10)
ποΈ
Keyword Collector
(69)
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Unstoppable Β· Bronze
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Century Club Β· Bronze
Venues
Top co-authors
Research topics
Deep Learning
(13)
Machine Learning
(12)
Learning Types Β· Machine Learning
(11)
Artificial Intelligence
(10)
Learning Types Β· Deep Learning
(10)
Core AI Β· Artificial Intelligence
(9)
Computer Vision
(4)
Application Areas
(4)
Analysis
(2)
Core AI Β· Computer Vision
(2)
Learning Paradigms
(2)
Optimization & Theory
(2)
Natural Language Processing
(1)
Applications
(1)
Architectures
(1)
Keywords
adversarial attack
(11)
adversarial example
(4)
transfer-based attack
(3)
adversarial sample
(3)
black-box attack
(3)
transferable attack
(2)
adversarial transferability
(2)
vision transformer
(2)
gradient regularization
(2)
feature extraction
(1)
data augmentation
(1)
knowledge distillation
(1)
point cloud
(1)
3d vision
(1)
domain adaptation
(1)
adversarial learning
(1)
attention mechanism
(1)
gradient descent
(1)
self-supervised learning
(1)
adversarial robustness
(1)
Papers
Masked Representation Modeling for Domain-Adaptive Segmentation
CVPR 2026
QRShield: Exploiting Vulnerabilities of Latent Diffusion Models for Preventing AI Art Plagiarism
AAAI 2026
Ref4D-VideoBench: Four-Dimensional Reference-Based Evaluation of Text-to-Video Generative Models
CVPR 2026
Curvature-Invariant Adversarial Attacks for 3D Point Clouds
AAAI 2024
Improving the Adversarial Transferability of Vision Transformers with Virtual Dense Connection
AAAI 2024
Improving Transferable Targeted Adversarial Attacks with Model Self-Enhancement
CVPR 2024
Blurred-Dilated Method for Adversarial Attacks
NeurIPS 2023
CDTA: A Cross-Domain Transfer-Based Attack with Contrastive Learning
AAAI 2023
Improving the Transferability of Adversarial Samples by Path-Augmented Method
CVPR 2023
Towards Semantics- and Domain-Aware Adversarial Attacks
IJCAI 2023
Transferable Adversarial Attacks on Vision Transformers With Token Gradient Regularization
CVPR 2023
Improving Adversarial Transferability via Neuron Attribution-Based Attacks
CVPR 2022
Improving the Transferability of Adversarial Samples With Adversarial Transformations
CVPR 2021
Boosting the Transferability of Adversarial Samples via Attention
CVPR 2020
Towards Global Explanations of Convolutional Neural Networks With Concept Attribution
CVPR 2020