Search Results for author: Paula Harder

Found 4 papers, 3 papers with code

Detecting AutoAttack Perturbations in the Frequency Domain

1 code implementation ICML Workshop AML 2021 Peter Lorenz, Paula Harder, Dominik Strassel, Margret Keuper, Janis Keuper

Recently, adversarial attacks on image classification networks by the AutoAttack (Croce and Hein, 2020b) framework have drawn a lot of attention.

Image Classification

Emulating Aerosol Microphysics with Machine Learning

no code implementations22 Sep 2021 Paula Harder, Duncan Watson-Parris, Dominik Strassel, Nicolas Gauger, Philip Stier, Janis Keuper

This is done in the ECHAM-HAM global climate aerosol model using the M7 microphysics model, but increased computational costs make it very expensive to run at higher resolutions or for a longer time.

SpectralDefense: Detecting Adversarial Attacks on CNNs in the Fourier Domain

2 code implementations4 Mar 2021 Paula Harder, Franz-Josef Pfreundt, Margret Keuper, Janis Keuper

Despite the success of convolutional neural networks (CNNs) in many computer vision and image analysis tasks, they remain vulnerable against so-called adversarial attacks: Small, crafted perturbations in the input images can lead to false predictions.

Adversarial Attack

NightVision: Generating Nighttime Satellite Imagery from Infra-Red Observations

1 code implementation13 Nov 2020 Paula Harder, William Jones, Redouane Lguensat, Shahine Bouabid, James Fulton, Dánell Quesada-Chacón, Aris Marcolongo, Sofija Stefanović, Yuhan Rao, Peter Manshausen, Duncan Watson-Parris

The recent explosion in applications of machine learning to satellite imagery often rely on visible images and therefore suffer from a lack of data during the night.


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