2 papers
eess.IV2026
Triggering hallucinations in model-based MRI reconstruction via adversarial perturbations
Suna BuÄday, Yvan Saeys, Jonathan Peck
Generative models are increasingly used to improve the quality of medical imaging, such as reconstruction of magnetic resonance images and computed tomography. However, it is well-…
cs.LG2024
Robust width: A lightweight and certifiable adversarial defense
Jonathan Peck, Bart Goossens
Deep neural networks are vulnerable to so-called adversarial examples: inputs which are intentionally constructed to cause the model to make incorrect predictions or classification…