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cs.LG2020★ 3 cited
Adversarial Robustness of Stabilized NeuralODEs Might be from Obfuscated Gradients
Yifei Huang, Yaodong Yu, Hongyang Zhang +2
In this paper we introduce a provably stable architecture for Neural Ordinary Differential Equations (ODEs) which achieves non-trivial adversarial robustness under white-box advers…
cs.LG2018★ 1 cited
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…