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[R] Adversarial Training with Voronoi Constraints

Paper: https://arxiv.org/abs/1905.01019

We analyze adversarial examples using techniques from high-dimensional geometry. We demonstrate several problems with the standard formulation of adversarial training using Lp-balls centered on the data, which occur in high-dimensional space. From these insights, we propose a new geometric constraint to replace the Lp-balls which gives improved robustness in some settings.

I’m the lead author of this article and would be happy to answer any questions!

submitted by /u/marckkhoury
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Toronto AI is a social and collaborative hub to unite AI innovators of Toronto and surrounding areas. We explore AI technologies in digital art and music, healthcare, marketing, fintech, vr, robotics and more. Toronto AI was founded by Dave MacDonald and Patrick O'Mara.