12 citations · 14 across the 6 of their papers we have counts for
4 papers · 1 filter
TESTNAV: Pareto-Guided Search for Compositional Robustness Testing
Arooj Arif, Tobias Hartung, Elena Botoeva +1
Deep learning models remain vulnerable to real-world input perturbations, especially when multiple corruptions co-occur in the same input (e.g., brightness shifts and motion blur).…
TestifAI: Tomography-Based Testing for Deep Learning Systems
Arooj Arif, Tobias Hartung, Elena Botoeva +1
As AI systems are increasingly deployed in safety-critical application domains (e.g., autonomous driving), associated risks increase too. Deep learning models underlying modern AI…
Air Quality Downscaling with Station-Guided Pseudo-Supervision
Guorun Wang, Simone Foti, Andreas D. Demou +5
Super-resolving coarse atmospheric fields to local PM variations is uniquely challenged by a mismatch in spatial support: while pixels represent regional averages, ground-t…
DermaFlux: Synthetic Skin Lesion Generation with Rectified Flows for Enhanced Image Classification
Stathis Galanakis, Alexandros Koliousis, Stefanos Zafeiriou
Despite recent advances in deep generative modeling, skin lesion classification systems remain constrained by the limited availability of large, diverse, and well-annotated clinica…