Multimodality for Reliable Single Image Based Face Morphing Attack Detection
Author:
Affiliation:
1. Institution of Information Security and Communication Technology (IIK), Norwegian University of Science and Technology (NTNU), Gjøvik, Norway
2. MOBAI AS, Gjøvik, Norway
Funder
European Union’s Horizon 2020 Research and Innovation Program
Publisher
Institute of Electrical and Electronics Engineers (IEEE)
Subject
General Engineering,General Materials Science,General Computer Science,Electrical and Electronic Engineering
Link
http://xplorestaging.ieee.org/ielx7/6287639/9668973/09851419.pdf?arnumber=9851419
Reference36 articles.
1. Face Morphing of Newborns Can Be Threatening Too : Preliminary Study on Vulnerability and Detection
2. On the Influence of Ageing on Face Morph Attacks: Vulnerability and Detection
3. Morphed Face Detection Based on Deep Color Residual Noise
4. Detecting Morphed Face Attacks Using Residual Noise from Deep Multi-scale Context Aggregation Network
5. MIPGAN—Generating Strong and High Quality Morphing Attacks Using Identity Prior Driven GAN
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1. Trans-FD: Transformer-Based Representation Interaction for Face De-Morphing;IEEE Transactions on Biometrics, Behavior, and Identity Science;2024-07
2. Multispectral Imaging for Differential Face Morphing Attack Detection: A Preliminary Study;2024 IEEE/CVF Winter Conference on Applications of Computer Vision (WACV);2024-01-03
3. A Comparative Analysis of Single Image-Based Face Morphing Attack Detection;Signals and Communication Technology;2024
4. Survey on Different Morphology Detection Techniques;International Journal of Scientific Research in Science and Technology;2023-07-07
5. Differential Newborn Face Morphing Attack Detection using Wavelet Scatter Network;2023 5th International Conference on Bio-engineering for Smart Technologies (BioSMART);2023-06-07
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