mlsanityData to 7 Oct 2026

MorDeephy: Face Morphing Detection Via Fused Classification

arXiv 2208.03110 ↗First posted 5 Aug 2022cs.CVcited by 7

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Abstract (arXiv)

Face morphing attack detection (MAD) is one of the most challenging tasks in the field of face recognition nowadays. In this work, we introduce a novel deep learning strategy for a single image face morphing detection, which implies the discrimination of morphed face images along with a sophisticated face recognition task in a complex classification scheme. It is directed onto learning the deep facial features, which carry information about the authenticity of these features. Our work also introduces several additional contributions: the public and easy-to-use face morphing detection benchmark and the results of our wild datasets filtering strategy. Our method, which we call MorDeephy, achieved the state of the art performance and demonstrated a prominent ability for generalising the task of morphing detection to unseen scenarios.

Key facts. Cited by 7 papers in the map (data through 7 Oct 2026). Builds on 26 of its 75 references that are in the map. First posted on arXiv 5 Aug 2022.

Builds on

26 of 75 references.

References · 26

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14 more
  1. 2020Partial FC: Training 10 Million Identities on a Single Machinecited by 163
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  6. 2018ArcFace: Additive Angular Margin Loss for Deep Face Recognitioncited by 56
  7. 2020Deep Face Representations for Differential Morphing Attack Detectioncited by 46
  8. 2020Can GAN Generated Morphs Threaten Face Recognition Systems Equally as Landmark Based Morphs? -- Vulnerability and Detectioncited by 46
  9. 2020Morphing Attack Detection -- Database, Evaluation Platform and Benchmarkingcited by 38
  10. 2020Vulnerability Analysis of Face Morphing Attacks from Landmarks and Generative Adversarial Networkscited by 36
  11. 2021PW-MAD: Pixel-wise Supervision for Generalized Face Morphing Attack Detectioncited by 29
  12. 2019Face morphing detection in the presence of printing/scanning and heterogeneous image sourcescited by 22
  13. 2021Attention Aware Wavelet-based Detection of Morphed Face Imagescited by 14
  14. 2020MIPGAN -- Generating Strong and High Quality Morphing Attacks Using Identity Prior Driven GANcited by 9

Built on by

Cited by year

Citing papers per year: 2023: 5; 2024: 1; 2025: 1.

7 papers.

  1. 2023Unveiling the Two-Faced Truth: Disentangling Morphed Identities for Face Morphing Detectioncited by 9
  2. 2023Neural Implicit Morphing of Face Imagescited by 9
  3. 2023Multispectral Imaging for Differential Face Morphing Attack Detection: A Preliminary Studycited by 5
  4. 2023Fused Classification For Differential Face Morphing Detectioncited by 1
  5. 2024Quadruplet Loss For Improving the Robustness to Face Morphing Attackscited by 1
  6. 2023Impact of Image Context for Single Deep Learning Face Morphing Attack Detectioncited by 0
  7. 2025MorphGuard: Morph Specific Margin Loss for Enhancing Robustness to Face Morphing Attackscited by 0