3 papers
cs.LG2025
Efficient Semi-Supervised Adversarial Training via Latent Clustering-Based Data Reduction
Somrita Ghosh, Yuelin Xu, Xiao Zhang
Learning robust models under adversarial settings is widely recognized as requiring a considerably large number of training samples. Recent work proposes semi-supervised adversaria…
cs.LG2024
How Learning Dynamics Drive Adversarially Robust Generalization?
Yuelin Xu, Xiao Zhang
Despite being widely adopted as a canonical framework for learning robust models, adversarial training suffers from robust overfitting. Existing empirical and theoretical explorati…
cs.CV2019
Normalized Diversification
Shaohui Liu, Xiao Zhang, Jianqiao Wangni +1
Generating diverse yet specific data is the goal of the generative adversarial network (GAN), but it suffers from the problem of mode collapse. We introduce the concept of normaliz…