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  • title: Fast Minimum-norm Adversarial Attacks through Adaptive Norm Constraints
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            Fast Minimum-norm Adversarial Attacks through Adaptive Norm Constraints
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            Fast Minimum-norm Adversarial Attacks through Adaptive Norm Constraints

            Dec 6, 2021

            Speakers

            MP

            Maura Pintor

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            FR

            Fabio Roli

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            WB

            Wieland Brendel

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            About

            Evaluating adversarial robustness amounts to finding the minimum perturbation needed to have an input sample misclassified. The inherent complexity of the underlying optimization requires current gradient-based attacks to be carefully tuned, initialized, and possibly executed for many computationally-demanding iterations, even if specialized to a given perturbation model.In this work, we overcome these limitations by proposing a fast minimum-norm (FMN) attack that works with different ℓ_p-norm p…

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            NeurIPS 2021

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