Privacy-friendly Synthetic Data for the Development of Face Morphing Attack Detectors
Author:
Affiliation:
1. Fraunhofer Institute for Computer Graphics Research IGD,Darmstadt,Germany
2. KU Leuven,Centre for IT & IP Law,Leuven,Belgium
Funder
Ministry of Education
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/9856930/9856648/09857354.pdf?arnumber=9857354
Reference87 articles.
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2. Face Restoration for Morphed Images Retouching;2024 12th International Workshop on Biometrics and Forensics (IWBF);2024-04-11
3. Detect People's Faces and Protect Them by Providing High Privacy Based on Deep Learning;Tehnički glasnik;2024-01-30
4. Bias and Diversity in Synthetic-based Face Recognition;2024 IEEE/CVF Winter Conference on Applications of Computer Vision (WACV);2024-01-03
5. Morphed Face Detection With Wavelet-Based Co-Occurrence Matrices;IEEE Signal Processing Letters;2024
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