Fortified Networks: Improving the Robustness of Deep Networks by Modeling the Manifold of Hidden Representations

ICLR 2019 Alex LambJonathan BinasAnirudh GoyalDmitriy SerdyukSandeep SubramanianIoannis MitliagkasYoshua Bengio

Deep networks have achieved impressive results across a variety of important tasks. However a known weakness is a failure to perform well when evaluated on data which differ from the training distribution, even if these differences are very small, as is the case with adversarial examples... (read more)

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