Zhuoer Xu
9 papers · 2022–2025 · 6 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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🌍
Conference Polyglot · Silver
🌉
Interdisciplinary Bridge · Bronze
🗺️
Taxonomy Completionist
(22)
🐣
Hot Topic Early Bird
Top co-authors
Research topics
Machine Learning
(9)
Learning Types · Machine Learning
(7)
Deep Learning
(5)
Artificial Intelligence
(3)
Computer Vision
(3)
Core AI · Artificial Intelligence
(3)
Learning Types · Deep Learning
(3)
Optimization & Theory · Machine Learning
(3)
Analysis
(2)
Application Areas
(2)
Models
(2)
Architectures
(1)
Core AI · Computer Vision
(1)
Core Methods
(1)
Optimization & Theory · Deep Learning
(1)
Keywords
adversarial transferability
(2)
vision-language model
(2)
adversarial attack
(2)
adversarial robustness
(2)
transfer learning
(1)
object detection
(1)
vision transformer
(1)
text editing
(1)
few-shot learning
(1)
feature embedding
(1)
image editing
(1)
adversarial training
(1)
prompt learning
(1)
parameter efficient
(1)
diffusion model
(1)
self-supervised learning
(1)
bayesian optimization
(1)
adversarial defense
(1)
adversarial perturbation
(1)
open-vocabulary detection
(1)
Papers
Efficient Transfer Learning for Video-language Foundation Models
CVPR 2025
Parameter-free and Accessible Prompt Learning to Enhance Adversarial Robustness for Pre-trained Vision-Language Models
NAACL 2025
Adversarial Robust Safeguard for Evading Deep Facial Manipulation
AAAI 2024
Improving the Adversarial Transferability of Vision Transformers with Virtual Dense Connection
AAAI 2024
Backpropagation Path Search On Adversarial Transferability
ICCV 2023
DiffUTE: Universal Text Editing Diffusion Model
NeurIPS 2023
Mobile User Interface Element Detection via Adaptively Prompt Tuning
CVPR 2023
A2: Efficient Automated Attacker for Boosting Adversarial Training
NeurIPS 2022
DIFER: Differentiable Automated Feature Engineering
AutoML 2022