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cs.LG2019
Robust Neural Networks using Randomized Adversarial Training
Alexandre Araujo, Laurent Meunier, Rafael Pinot +1
This paper tackles the problem of defending a neural network against adversarial attacks crafted with different norms (in particular and bounded adversarial…
cs.LG2019
Understanding and Training Deep Diagonal Circulant Neural Networks
Alexandre Araujo, Benjamin Negrevergne, Yann Chevaleyre +1
In this paper, we study deep diagonal circulant neural networks, that is deep neural networks in which weight matrices are the product of diagonal and circulant ones. Besides makin…