3 papers
cs.CV2026
DifFoundMAD: Foundation Models meet Differential Morphing Attack Detection
Lazaro J. Gonzalez-Soler, André Dörsch, Christian Rathgeb +1
In this work, we introduce DifFoundMAD, a parameter-efficient D-MAD framework that exploits the generalisation capabilities of vision foundation models (FM) to capture discrepancie…
cs.CV2025
Second FRCSyn-onGoing: Winning Solutions and Post-Challenge Analysis to Improve Face Recognition with Synthetic Data
Ivan DeAndres-Tame, Ruben Tolosana, Pietro Melzi +56
Synthetic data is gaining increasing popularity for face recognition technologies, mainly due to the privacy concerns and challenges associated with obtaining real data, including…
cs.CV2024
Multi-Channel Cross Modal Detection of Synthetic Face Images
M. Ibsen, C. Rathgeb, S. Marcel +1
Synthetically generated face images have shown to be indistinguishable from real images by humans and as such can lead to a lack of trust in digital content as they can, for instan…