3 citations · 4 across the 3 of their papers we have counts for
3 papers
cs.CV2019
Learning To Characterize Adversarial Subspaces
Xiaofeng Mao, Yuefeng Chen, Yuhong Li +2
Deep Neural Networks (DNNs) are known to be vulnerable to the maliciously generated adversarial examples. To detect these adversarial examples, previous methods use artificially de…
cs.LG2019★ 3 cited
Self-supervised Adversarial Training
Kejiang Chen, Hang Zhou, Yuefeng Chen +6
Recent work has demonstrated that neural networks are vulnerable to adversarial examples. To escape from the predicament, many works try to harden the model in various ways, in whi…
cs.CV2019★ 1 cited
Robust Visual Tracking Using Dynamic Classifier Selection with Sparse Representation of Label Noise
Yuefeng Chen, Qing Wang
Recently a category of tracking methods based on "tracking-by-detection" is widely used in visual tracking problem. Most of these methods update the classifier online using the sam…