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On adversarial robustness and the use of Wasserstein ascent-descent dynamics to enforce it
These interacting particle dynamics are shown to converge toward appropriate mean-field limit equations in certain large number of particles regimes.
On the regularized risk of distributionally robust learning over deep neural networks
In this paper we explore the relation between distributionally robust learning and different forms of regularization to enforce robustness of deep neural networks.
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