10 citations · 10 across the 1 of their papers we have counts for
4 papers
Generative Adversarial Nets for Robust Scatter Estimation: A Proper Scoring Rule Perspective
Chao Gao, Yuan Yao, Weizhi Zhu
Robust scatter estimation is a fundamental task in statistics. The recent discovery on the connection between robust estimation and generative adversarial nets (GANs) by Gao et al.…
Rethinking Breiman's Dilemma in Neural Networks: Phase Transitions of Margin Dynamics
Weizhi Zhu, Yifei Huang, Yuan Yao
Margin enlargement over training data has been an important strategy since perceptrons in machine learning for the purpose of boosting the robustness of classifiers toward a good g…
Robust Estimation and Generative Adversarial Nets
Chao Gao, Jiyi Liu, Yuan Yao +1
Robust estimation under Huber's -contamination model has become an important topic in statistics and theoretical computer science. Statistically optimal procedures such as Tukey…
Adversarial Defense via Data Dependent Activation Function and Total Variation Minimization
Bao Wang, Alex T. Lin, Wei Zhu +3
We improve the robustness of Deep Neural Net (DNN) to adversarial attacks by using an interpolating function as the output activation. This data-dependent activation remarkably imp…