Related papers: Certified Robustness via Randomized Smoothing over Multiplicative Parameters

Certified Robustness via Randomized Smoothing over Multiplicative Parameters

URL: http://arxiv.org/abs/2106.14432v1
Date: Mon, 28 Jun 2021 07:35:15 GMT
Title: Certified Robustness via Randomized Smoothing over Multiplicative Parameters
Authors: Nikita Muravev, Aleksandr Petiushko
Abstract summary: We construct certifiably robust classifiers with respect to a gamma-correction perturbation. To the best of our knowledge it is the first work concerning certified robustness against the multiplicative gamma-correction transformation.
Score: 78.42152902652215
License: http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Abstract: We propose a novel approach of randomized smoothing over multiplicative parameters. Using this method we construct certifiably robust classifiers with respect to a gamma-correction perturbation and compare the result with classifiers obtained via Gaussian smoothing. To the best of our knowledge it is the first work concerning certified robustness against the multiplicative gamma-correction transformation.

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