176 citations · 336 across the 51 of their papers we have counts for
8 papers · 1 filter
Investigating Shifts in GAN Output-Distributions
Ricard Durall, Janis Keuper
A fundamental and still largely unsolved question in the context of Generative Adversarial Networks is whether they are truly able to capture the real data distribution and, conseq…
Is RobustBench/AutoAttack a suitable Benchmark for Adversarial Robustness?
Peter Lorenz, Dominik Strassel, Margret Keuper +1
Recently, RobustBench (Croce et al. 2020) has become a widely recognized benchmark for the adversarial robustness of image classification networks. In its most commonly reported su…
Detecting AutoAttack Perturbations in the Frequency Domain
Peter Lorenz, Paula Harder, Dominik Strassel +2
Recently, adversarial attacks on image classification networks by the AutoAttack (Croce and Hein, 2020b) framework have drawn a lot of attention. While AutoAttack has shown a very…
FacialGAN: Style Transfer and Attribute Manipulation on Synthetic Faces
Ricard Durall, Jireh Jam, Dominik Strassel +2
Facial image manipulation is a generation task where the output face is shifted towards an intended target direction in terms of facial attribute and styles. Recent works have achi…
Estimating the Robustness of Classification Models by the Structure of the Learned Feature-Space
Kalun Ho, Franz-Josef Pfreundt, Janis Keuper +1
Over the last decade, the development of deep image classification networks has mostly been driven by the search for the best performance in terms of classification accuracy on sta…
Combining Transformer Generators with Convolutional Discriminators
Ricard Durall, Stanislav Frolov, Jörn Hees +4
Transformer models have recently attracted much interest from computer vision researchers and have since been successfully employed for several problems traditionally addressed wit…
A Retail Product Categorisation Dataset
Febin Sebastian Elayanithottathil, Janis Keuper
Most eCommerce applications, like web-shops have millions of products. In this context, the identification of similar products is a common sub-task, which can be utilized in the im…
SpectralDefense: Detecting Adversarial Attacks on CNNs in the Fourier Domain
Paula Harder, Franz-Josef Pfreundt, Margret Keuper +1
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, c…