collaborators

5 papers

cs.CV2026

PIU: Proximity-guided Identity Unlearning in ID-Conditioned Diffusion Models

Jose Edgar Hernandez Cancino Estrada, Mauro Díaz Lupone, Žiga Emeršič +3

Identity-conditioned diffusion models enable high-quality and identity-consistent face generation, but they also raise severe privacy concerns, as models may continue to synthesize…

cs.CV2026

FunFace: Feature Utility and Norm Estimation for Face Recognition

Žiga Babnik, Fadi Boutros, Naser Damer +3

Face Recognition (FR) is used in a variety of application domains, from entertainment and banking to security and surveillance. Such applications rely on the FR model to be robust…

cs.CV2025

ID-Booth: Identity-consistent Face Generation with Diffusion Models

Darian Tomašević, Fadi Boutros, Chenhao Lin +3

Recent advances in generative modeling have enabled the generation of high-quality synthetic data that is applicable in a variety of domains, including face recognition. Here, stat…

cs.CV2025

Second Competition on Presentation Attack Detection on ID Card

Juan E. Tapia, Mario Nieto, Juan M. Espin +30

This work summarises and reports the results of the second Presentation Attack Detection competition on ID cards. This new version includes new elements compared to the previous on…

cs.CV2025

SelfMAD: Enhancing Generalization and Robustness in Morphing Attack Detection via Self-Supervised Learning

Marija Ivanovska, Leon Todorov, Naser Damer +3

With the continuous advancement of generative models, face morphing attacks have become a significant challenge for existing face verification systems due to their potential use in…