7 papers
Structured Adversarial Camouflage via Voronoi Diagrams
Jens Bayer, Stefan Becker, David Münch +2
Pixel-wise adversarial patches are computationally heavy and often visually detectable, limiting utility in security-critical systems. We present adversarial Voronoi camouflage tha…
A Causally Grounded Taxonomy for Image Degradation Robustness Evaluation
Stefan Becker, Simon Weiss, Wolfgang Hübner +1
Image degradations can occur during acquisition, processing, and transmission, altering visual appearance and affecting downstream vision tasks. They are studied in several communi…
Self-Aware Object Detection via Degradation Manifolds
Stefan Becker, Simon Weiss, Wolfgang Hübner +1
Object detectors achieve strong performance under nominal imaging conditions but can fail silently when exposed to blur, noise, compression, adverse weather, or resolution changes.…
Higher-Order Adversarial Patches for Real-Time Object Detectors
Jens Bayer, Stefan Becker, David Münch +4
Higher-order adversarial attacks can directly be considered the result of a cat-and-mouse game -- an elaborate action involving constant pursuit, near captures, and repeated escape…
Semantic Neural Radiance Fields for Multi-Date Satellite Data
Valentin Wagner, Sebastian Bullinger, Christoph Bodensteiner +1
In this work we propose a satellite specific Neural Radiance Fields (NeRF) model capable to obtain a three-dimensional semantic representation (neural semantic field) of the scene.…
Traversing the Subspace of Adversarial Patches
Jens Bayer, Stefan Becker, David Münch +2
Despite ongoing research on the topic of adversarial examples in deep learning for computer vision, some fundamentals of the nature of these attacks remain unclear. As the manifold…