2 papers
cs.CV2026
Robust Detection of Directional Adversarial Attacks in Deep Neural Networks for Radiological Imaging
Tristan Malatyński, Joanna Jaworek-Korjakowska
Deep learning is now central to radiology, helping detect changes on X-rays, CTs, and MRIs. However, these systems are highly vulnerable to adversarial attacks - small, crafted per…
cs.CV2026
Statistical Adversaries: Natural Backdoor-like Adversarial Features in Clean Vision Datasets
Paul K. Mandal, Pavan Reddy, Tristan Malatynski
Model-specific adversarial attacks have been extensively studied. We study a different failure mode: naturally occurring statistical signals in vision data that can behave as backd…