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A principled approach for generating adversarial images under non-smooth dissimilarity metrics

Aug 05, 2019
Aram-Alexandre Pooladian, Chris Finlay, Tim Hoheisel, Adam Oberman

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Improved robustness to adversarial examples using Lipschitz regularization of the loss

Oct 23, 2018
Chris Finlay, Adam Oberman, Bilal Abbasi

* Updated version with additional results measured in L-infinity norm; typos corrected 

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Stochastic Backward Euler: An Implicit Gradient Descent Algorithm for $k$-means Clustering

May 21, 2018
Penghang Yin, Minh Pham, Adam Oberman, Stanley Osher

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Parle: parallelizing stochastic gradient descent

Sep 10, 2017
Pratik Chaudhari, Carlo Baldassi, Riccardo Zecchina, Stefano Soatto, Ameet Talwalkar, Adam Oberman

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