Adversarial Training with Voronoi Constraints

ICLR 2020 Marc KhouryDylan Hadfield-Menell

Adversarial examples are a pervasive phenomenon of machine learning models where seemingly imperceptible perturbations to the input lead to misclassifications for otherwise statistically accurate models. We propose a geometric framework, drawing on tools from the manifold reconstruction literature, to analyze the high-dimensional geometry of adversarial examples... (read more)

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