3 papers
cs.LG2025
Unsupervised Robust Domain Adaptation: Paradigm, Theory and Algorithm
Fuxiang Huang, Xiaowei Fu, Shiyu Ye +5
Unsupervised domain adaptation (UDA) aims to transfer knowledge from a label-rich source domain to an unlabeled target domain by addressing domain shifts. Most UDA approaches empha…
cs.CV2025
Rectifying Adversarial Sample with Low Entropy Prior for Test-Time Defense
Lina Ma, Xiaowei Fu, Fuxiang Huang +2
Existing defense methods fail to defend against unknown attacks and thus raise generalization issue of adversarial robustness. To remedy this problem, we attempt to delve into some…
cs.CV2024
Invariance-powered Trustworthy Defense via Remove Then Restore
Xiaowei Fu, Yuhang Zhou, Lina Ma +1
Adversarial attacks pose a challenge to the deployment of deep neural networks (DNNs), while previous defense models overlook the generalization to various attacks. Inspired by tar…