31 citations · 51 across the 5 of their papers we have counts for
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stat.ML2020
Exactly Computing the Local Lipschitz Constant of ReLU Networks
Matt Jordan, Alexandros G. Dimakis
The local Lipschitz constant of a neural network is a useful metric with applications in robustness, generalization, and fairness evaluation. We provide novel analytic results rela…
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…