5 citations · 5 across the 1 of their papers we have counts for
2 papers
cs.LG2022★ 5 cited
Improving Out-of-Distribution Generalization by Adversarial Training with Structured Priors
Qixun Wang, Yifei Wang, Hong Zhu +1
Deep models often fail to generalize well in test domains when the data distribution differs from that in the training domain. Among numerous approaches to address this Out-of-Dist…
cs.CV2018
Seeing isn't Believing: Practical Adversarial Attack Against Object Detectors
Yue Zhao, Hong Zhu, Ruigang Liang +3
In this paper, we presented systematic solutions to build robust and practical AEs against real world object detectors. Particularly, for Hiding Attack (HA), we proposed the featur…