Search Results for author: Jakob Thaddäus Wiedemer

Found 1 papers, 0 papers with code

Interpretable and Fine-Grained Visual Explanations for Convolutional Neural Networks

no code implementations7 Aug 2019 Jörg Wagner, Jan Mathias Köhler, Tobias Gindele, Leon Hetzel, Jakob Thaddäus Wiedemer, Sven Behnke

Our approach is based on a novel technique to defend against adversarial evidence (i. e. faulty evidence due to artefacts) by filtering gradients during optimization.

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