mlsanityData to 7 Oct 2026

Impact of Image Context for Single Deep Learning Face Morphing Attack Detection

arXiv 2309.00549 ↗First posted 1 Sep 2023cs.CVcited by 0

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Abstract (arXiv)

The increase in security concerns due to technological advancements has led to the popularity of biometric approaches that utilize physiological or behavioral characteristics for enhanced recognition. Face recognition systems (FRSs) have become prevalent, but they are still vulnerable to image manipulation techniques such as face morphing attacks. This study investigates the impact of the alignment settings of input images on deep learning face morphing detection performance. We analyze the interconnections between the face contour and image context and suggest optimal alignment conditions for face morphing detection.

Key facts. No citing papers in the map yet (data through 7 Oct 2026). Builds on 12 of its 36 references that are in the map. First posted on arXiv 1 Sep 2023.

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References · 12

  1. 2019EfficientNet: Rethinking Model Scaling for Convolutional Neural Networkscited by 6,415
  2. 2018A Style-Based Generator Architecture for Generative Adversarial Networkscited by 5,986
  3. 2022AdaFace: Quality Adaptive Margin for Face Recognitioncited by 390
  4. 2021MagFace: A Universal Representation for Face Recognition and Quality Assessmentcited by 332
  5. 2023MorDIFF: Recognition Vulnerability and Attack Detectability of Face Morphing Attacks Created by Diffusion Autoencoderscited by 44
  6. 2022Are GAN-based Morphs Threatening Face Recognition?cited by 28
  7. 2019Face morphing detection in the presence of printing/scanning and heterogeneous image sourcescited by 22
  8. 2021ReGenMorph: Visibly Realistic GAN Generated Face Morphing Attacks by Attack Re-generationcited by 21
  9. 2021Attention Aware Wavelet-based Detection of Morphed Face Imagescited by 14
  10. 2022OrthoMAD: Morphing Attack Detection Through Orthogonal Identity Disentanglementcited by 10
  11. 2021Single Morphing Attack Detection using Feature Selection and Visualisation based on Mutual Informationcited by 8
  12. 2022MorDeephy: Face Morphing Detection Via Fused Classificationcited by 7

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