Generating Automatically Print/Scan Textures for Morphing Attack Detection Applications
Fuente:
arXiv
Saved in:
| Main Authors: | Tapia, Juan E., Russo, Maximilian, Busch, Christoph |
|---|---|
| Format: | Preprint |
| Published: |
2024
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
Impact of Synthetic Images on Morphing Attack Detection Using a Siamese Network
by: Tapia, Juan, et al.
Published: (2024)
by: Tapia, Juan, et al.
Published: (2024)
Towards minimizing efforts for Morphing Attacks -- Deep embeddings for morphing pair selection and improved Morphing Attack Detection
by: Kessler, Roman, et al.
Published: (2023)
by: Kessler, Roman, et al.
Published: (2023)
Can Foundation Models Generalise the Presentation Attack Detection Capabilities on ID Cards?
by: Tapia, Juan E., et al.
Published: (2025)
by: Tapia, Juan E., et al.
Published: (2025)
On the Feasibility of Creating Iris Periocular Morphed Images
by: Tapia, Juan E., et al.
Published: (2024)
by: Tapia, Juan E., et al.
Published: (2024)
Morphing Attack Potential
by: Ferrara, Matteo, et al.
Published: (2022)
by: Ferrara, Matteo, et al.
Published: (2022)
Towards Iris Presentation Attack Detection with Foundation Models
by: Tapia, Juan E., et al.
Published: (2025)
by: Tapia, Juan E., et al.
Published: (2025)
DifFoundMAD: Foundation Models meet Differential Morphing Attack Detection
by: Gonzalez-Soler, Lazaro J., et al.
Published: (2026)
by: Gonzalez-Soler, Lazaro J., et al.
Published: (2026)
Are Foundation Models All You Need for Zero-shot Face Presentation Attack Detection?
by: Gonzalez-Sole, Lazaro Janier, et al.
Published: (2025)
by: Gonzalez-Sole, Lazaro Janier, et al.
Published: (2025)
The Impact of Print-Scanning in Heterogeneous Morph Evaluation Scenarios
by: Neddo, Richard E., et al.
Published: (2024)
by: Neddo, Richard E., et al.
Published: (2024)
Generalized Single-Image-Based Morphing Attack Detection Using Deep Representations from Vision Transformer
by: Zhang, Haoyu, et al.
Published: (2025)
by: Zhang, Haoyu, et al.
Published: (2025)
SynID: Passport Synthetic Dataset for Presentation Attack Detection
by: Tapia, Juan E., et al.
Published: (2025)
by: Tapia, Juan E., et al.
Published: (2025)
LADIMO: Face Morph Generation through Biometric Template Inversion with Latent Diffusion
by: Grimmer, Marcel, et al.
Published: (2024)
by: Grimmer, Marcel, et al.
Published: (2024)
Detection of Digital Facial Retouching utilizing Face Beauty Information
by: Srock, Philipp, et al.
Published: (2025)
by: Srock, Philipp, et al.
Published: (2025)
TetraLoss: Improving the Robustness of Face Recognition against Morphing Attacks
by: Ibsen, Mathias, et al.
Published: (2024)
by: Ibsen, Mathias, et al.
Published: (2024)
Identity Card Presentation Attack Detection: A Systematic Review
by: Ruiz, Esteban M., et al.
Published: (2025)
by: Ruiz, Esteban M., et al.
Published: (2025)
Can Foundation Models Predict Fitness for Duty?
by: Tapia, Juan E., et al.
Published: (2025)
by: Tapia, Juan E., et al.
Published: (2025)
StableMorph: High-Quality Face Morph Generation with Stable Diffusion
by: Kabbani, Wassim, et al.
Published: (2025)
by: Kabbani, Wassim, et al.
Published: (2025)
SynMorph: Generating Synthetic Face Morphing Dataset with Mated Samples
by: Zhang, Haoyu, et al.
Published: (2024)
by: Zhang, Haoyu, et al.
Published: (2024)
ChatGPT Encounters Morphing Attack Detection: Zero-Shot MAD with Multi-Modal Large Language Models and General Vision Models
by: Zhang, Haoyu, et al.
Published: (2025)
by: Zhang, Haoyu, et al.
Published: (2025)
Double Trouble? Impact and Detection of Duplicates in Face Image Datasets
by: Schlett, Torsten, et al.
Published: (2024)
by: Schlett, Torsten, et al.
Published: (2024)
ID-Card Synthetic Generation: Toward a Simulated Bona fide Dataset
by: Zeng, Qingwen, et al.
Published: (2025)
by: Zeng, Qingwen, et al.
Published: (2025)
Hierarchical Generative Network for Face Morphing Attacks
by: He, Zuyuan, et al.
Published: (2024)
by: He, Zuyuan, et al.
Published: (2024)
Detection of T-shirt Presentation Attacks in Face Recognition Systems
by: Ibsen, Mathias, et al.
Published: (2026)
by: Ibsen, Mathias, et al.
Published: (2026)
MorphGuard: Morph Specific Margin Loss for Enhancing Robustness to Face Morphing Attacks
by: Medvedev, Iurii, et al.
Published: (2025)
by: Medvedev, Iurii, et al.
Published: (2025)
Multimodal Models Meet Presentation Attack Detection on ID Documents
by: Villanueva, Marina, et al.
Published: (2026)
by: Villanueva, Marina, et al.
Published: (2026)
CogMorph: Cognitive Morphing Attacks for Text-to-Image Models
by: Jing, Zonglei, et al.
Published: (2025)
by: Jing, Zonglei, et al.
Published: (2025)
SFDemorpher: Generalizable Face Demorphing for Operational Morphing Attack Detection
by: Ismayilov, Raul, et al.
Published: (2026)
by: Ismayilov, Raul, et al.
Published: (2026)
First Competition on Presentation Attack Detection on ID Card
by: Tapia, Juan E., et al.
Published: (2024)
by: Tapia, Juan E., et al.
Published: (2024)
Interp3D: Correspondence-aware Interpolation for Generative Textured 3D Morphing
by: Liu, Xiaolu, et al.
Published: (2026)
by: Liu, Xiaolu, et al.
Published: (2026)
In-context Learning of Vision Language Models for Detection of Physical and Digital Attacks against Face Recognition Systems
by: Gonzalez-Soler, Lazaro Janier, et al.
Published: (2025)
by: Gonzalez-Soler, Lazaro Janier, et al.
Published: (2025)
SelfMAD: Enhancing Generalization and Robustness in Morphing Attack Detection via Self-Supervised Learning
by: Ivanovska, Marija, et al.
Published: (2025)
by: Ivanovska, Marija, et al.
Published: (2025)
MorCode: Face Morphing Attack Generation using Generative Codebooks
by: PN, Aravinda Reddy, et al.
Published: (2024)
by: PN, Aravinda Reddy, et al.
Published: (2024)
V-MAD: Video-based Morphing Attack Detection in Operational Scenarios
by: Borghi, Guido, et al.
Published: (2024)
by: Borghi, Guido, et al.
Published: (2024)
Find the Differences: Differential Morphing Attack Detection vs Face Recognition
by: Kelly, Una M., et al.
Published: (2026)
by: Kelly, Una M., et al.
Published: (2026)
Few-Shot Learning: Expanding ID Cards Presentation Attack Detection to Unknown ID Countries
by: Rocamora, Alvaro S., et al.
Published: (2024)
by: Rocamora, Alvaro S., et al.
Published: (2024)
Emergent Morphing Attack Detection in Open Multi-modal Large Language Models
by: Ivanovska, Marija, et al.
Published: (2026)
by: Ivanovska, Marija, et al.
Published: (2026)
SRL-MAD: Structured Residual Latents for One-Class Morphing Attack Detection
by: Paulo, Diogo J., et al.
Published: (2026)
by: Paulo, Diogo J., et al.
Published: (2026)
FD-MAD: Frequency-Domain Residual Analysis for Face Morphing Attack Detection
by: Paulo, Diogo J., et al.
Published: (2026)
by: Paulo, Diogo J., et al.
Published: (2026)
On the Impact of Face Segmentation-Based Background Removal on Recognition and Morphing Attack Detection
by: Caldeira, Eduarda, et al.
Published: (2026)
by: Caldeira, Eduarda, et al.
Published: (2026)
Deceptive Beauty: Evaluating the Impact of Beauty Filters on Deepfake and Morphing Attack Detection
by: Concas, Sara, et al.
Published: (2025)
by: Concas, Sara, et al.
Published: (2025)
Similar Items
-
Impact of Synthetic Images on Morphing Attack Detection Using a Siamese Network
by: Tapia, Juan, et al.
Published: (2024) -
Towards minimizing efforts for Morphing Attacks -- Deep embeddings for morphing pair selection and improved Morphing Attack Detection
by: Kessler, Roman, et al.
Published: (2023) -
Can Foundation Models Generalise the Presentation Attack Detection Capabilities on ID Cards?
by: Tapia, Juan E., et al.
Published: (2025) -
On the Feasibility of Creating Iris Periocular Morphed Images
by: Tapia, Juan E., et al.
Published: (2024) -
Morphing Attack Potential
by: Ferrara, Matteo, et al.
Published: (2022)