Face Morphing Attack Detection

Benchmarks archive 2025-07-28

No benchmark for this task in the archive.

Libraries

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Datasets archive 2025-07-28

3 datasets whose archive record lists this task, ordered by the archive's paper count.

Subtasks archive 2025-07-28

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Most implemented papers archive 2025-07-28

10 shown of 10 papers with code (25 tagged with this task in all), ordered by repositories listed in the archive, not by stars (the archive holds no stars, so PwC's “Social” and “Latest” sorts cannot be reproduced). Papers without a page here are shown as plain text.

• MADation: Face Morphing Attack Detection with Foundation Models
  7 Jan 2025 2 repositories listed
  Despite the considerable performance improvements of face recognition algorithms in recent years, the same scientific advances responsible for this progress can also be used to create efficient ways to attack them,…
• Greedy-DiM: Greedy Algorithms for Unreasonably Effective Face Morphs
  9 Apr 2024 1 repository listed Syntology ran 4 of 5 samples · 1 unverified
  Morphing attacks are an emerging threat to state-of-the-art Face Recognition (FR) systems, which aim to create a single image that contains the biometric information of multiple identities.
• Fast-DiM: Towards Fast Diffusion Morphs
  14 Oct 2023 1 repository listed
  Diffusion Morphs (DiM) are a recent state-of-the-art method for creating high quality face morphs; however, they require a high number of network function evaluations (NFE) to create the morphs.
• Face Morphing Attack Detection with Denoising Diffusion Probabilistic Models
  27 Jun 2023 1 repository listed
  Existing MAD techniques predominantly rely on discriminative models that learn from examples of bona fide and morphed images and, as a result, often exhibit sub-optimal generalization performance when confronted with…
• Unveiling the Two-Faced Truth: Disentangling Morphed Identities for Face Morphing Detection
  5 Jun 2023 1 repository listed
  Over time they have become simpler to perform and more realistic, as such, the usage of deep learning systems to detect these attacks has grown.
• Deep Composite Face Image Attacks: Generation, Vulnerability and Detection
  20 Nov 2022 1 repository listed
  Given the face images corresponding to two unique data subjects, the proposed CFIA method will independently generate the segmented facial attributes, then blend them using transparent masks to generate the CFIA samples.
• SYN-MAD 2022: Competition on Face Morphing Attack Detection Based on Privacy-aware Synthetic Training Data
  15 Aug 2022 1 repository listed
  The competition attracted a total of 12 participating teams, both from academia and industry and present in 11 different countries.
• Unsupervised Face Morphing Attack Detection via Self-paced Anomaly Detection
  11 Aug 2022 1 repository listed
  However, given variations in the morphing attacks, the performance of supervised MAD solutions drops significantly due to the insufficient diversity and quantity of the existing MAD datasets.
• 3D Face Morphing Attacks: Generation, Vulnerability and Detection
  10 Jan 2022 1 repository listed
  To this extent, we introduced a novel approach based on blending 3D face point clouds corresponding to contributory data subjects.
• Vulnerability Analysis of Face Morphing Attacks from Landmarks and Generative Adversarial Networks
  9 Dec 2020 1 repository listed
  Morphing attacks is a threat to biometric systems where the biometric reference in an identity document can be altered.

Syntology lines on 1 of the papers shown; no Syntology record for the others (a paper without an arXiv id cannot be joined to the graph, and absence from the graph layer is not a recorded non-run). “Ran” means the sample executed on a synthesized fixture, not that the paper's result was reproduced. Read from the graph 2026-09-24.