activity
20212024
most citedOrthoMAD: Morphing Attack Detection Through Orthogonal Identity Disentanglement

1 citations · 3 across the 10 of their papers we have counts for

collaborators

10 papers

cs.CV2024

Beyond Spatial Explanations: Explainable Face Recognition in the Frequency Domain

Marco Huber, Naser Damer

The need for more transparent face recognition (FR), along with other visual-based decision-making systems has recently attracted more attention in research, society, and industry.…

cs.CV2023

SynFacePAD 2023: Competition on Face Presentation Attack Detection Based on Privacy-aware Synthetic Training Data

Meiling Fang, Marco Huber, Julian Fierrez +21

This paper presents a summary of the Competition on Face Presentation Attack Detection Based on Privacy-aware Synthetic Training Data (SynFacePAD 2023) held at the 2023 Internation…

cs.CV2023

Bias and Diversity in Synthetic-based Face Recognition

Marco Huber, Anh Thi Luu, Fadi Boutros +2

Synthetic data is emerging as a substitute for authentic data to solve ethical and legal challenges in handling authentic face data. The current models can create real-looking face…

cs.CV20231 cited

Liveness Detection Competition -- Noncontact-based Fingerprint Algorithms and Systems (LivDet-2023 Noncontact Fingerprint)

Sandip Purnapatra, Humaira Rezaie, Bhavin Jawade +19

Liveness Detection (LivDet) is an international competition series open to academia and industry with the objec-tive to assess and report state-of-the-art in Presentation Attack De…

cs.CV2023

SynthASpoof: Developing Face Presentation Attack Detection Based on Privacy-friendly Synthetic Data

Meiling Fang, Marco Huber, Naser Damer

Recently, significant progress has been made in face presentation attack detection (PAD), which aims to secure face recognition systems against presentation attacks, owing to the a…

cs.CV2023

Are Explainability Tools Gender Biased? A Case Study on Face Presentation Attack Detection

Marco Huber, Meiling Fang, Fadi Boutros +1

Face recognition (FR) systems continue to spread in our daily lives with an increasing demand for higher explainability and interpretability of FR systems that are mainly based on…