Research Explorer
Papers
Conferences
Authors
Topics
Keywords
Trends
Achievements
Explore
← Back to papers
2025
ICML
ICML 2025
Improving Zero-Shot Adversarial Robustness in Vision-Language Models by Closed-form Alignment of Adversarial Path Simplices
Authors
Junhao Dong
,
Piotr Koniusz
,
Yifei Zhang
,
Hao Zhu
,
Weiming Liu
,
Xinghua Qu
,
Yew-Soon Ong
Download PDF
Related papers
Scaling Sparse Feature Circuits For Studying In-Context Learning
2025
Incremental Gradient Descent with Small Epoch Counts is Surprisingly Slow on Ill-Conditioned Problems
2025
SToFM: a Multi-scale Foundation Model for Spatial Transcriptomics
2025
Batch List-Decodable Linear Regression via Higher Moments
2025
GS-Bias: Global-Spatial Bias Learner for Single-Image Test-Time Adaptation of Vision-Language Models
2025