18 citations · 72 across the 26 of their papers we have counts for
8 papers · 1 filter
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…
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…
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…
Self-supervised Optimization of Hand Pose Estimation using Anatomical Features and Iterative Learning
Christian Jauch, Timo Leitritz, Marco F. Huber
Manual assembly workers face increasing complexity in their work. Human-centered assistance systems could help, but object recognition as an enabling technology hinders sophisticat…
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…
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…
Efficient Explainable Face Verification based on Similarity Score Argument Backpropagation
Marco Huber, Anh Thi Luu, Philipp Terhörst +1
Explainable Face Recognition is gaining growing attention as the use of the technology is gaining ground in security-critical applications. Understanding why two faces images are m…
MorDIFF: Recognition Vulnerability and Attack Detectability of Face Morphing Attacks Created by Diffusion Autoencoders
Naser Damer, Meiling Fang, Patrick Siebke +3
Investigating new methods of creating face morphing attacks is essential to foresee novel attacks and help mitigate them. Creating morphing attacks is commonly either performed on…