31 citations · 83 across the 9 of their papers we have counts for
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cs.LG2019★ 19 cited
Provable Certificates for Adversarial Examples: Fitting a Ball in the Union of Polytopes
Matt Jordan, Justin Lewis, Alexandros G. Dimakis
We propose a novel method for computing exact pointwise robustness of deep neural networks for all convex norms. Our algorithm, GeoCert, finds the largest ball ce…
stat.ML2019★ 31 cited
Quantifying Perceptual Distortion of Adversarial Examples
Matt Jordan, Naren Manoj, Surbhi Goel +1
Recent work has shown that additive threat models, which only permit the addition of bounded noise to the pixels of an image, are insufficient for fully capturing the space of impe…