most citedAchieving Generalizable Robustness of Deep Neural Networks by Stability Training

9 citations · 9 across the 1 of their papers we have counts for

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cs.LG2019★ 9 cited

Achieving Generalizable Robustness of Deep Neural Networks by Stability Training

Jan Laermann, Wojciech Samek, Nils Strodthoff

We study the recently introduced stability training as a general-purpose method to increase the robustness of deep neural networks against input perturbations. In particular, we ex…