Multilevel Fusion of Deep Features for Face Morphing Attack Detection
Author:
Affiliation:
1. Institute of Information Technology and Communication Technology (IIK), Norwegian University of Science and Technology (NTNU),Norway
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/9987724/9987729/09987842.pdf?arnumber=9987842
Reference32 articles.
1. PRNU-based detection of morphed face images
2. Benchmarking face morphing forgery detection: Application of stirtrace for impact simulation of different processing steps;hildebrandt;Biometrics and Forensics (IWBF) 2017 5th International Workshop,2017
3. Detecting Morphed Face Attacks Using Residual Noise from Deep Multi-scale Context Aggregation Network
4. Morphed Face Detection Based on Deep Color Residual Noise
5. Decoupling texture blending and shape warping in face morphing;ferrara;Biometrics Special Interest Group (BIOSIG),2019
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1. Deepfakes as a threat to a speaker and facial recognition: An overview of tools and attack vectors;Heliyon;2023-04
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