Morphing Attack Potential
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Abstract (arXiv)
In security systems the risk assessment in the sense of common criteria testing is a very relevant topic; this requires quantifying the attack potential in terms of the expertise of the attacker, his knowledge about the target and access to equipment. Contrary to those attacks, the recently revealed morphing attacks against Face Recognition Systems (FRSs) can not be assessed by any of the above criteria. But not all morphing techniques pose the same risk for an operational face recognition system. This paper introduces with the Morphing Attack Potential (MAP) a consistent methodology, that can quantify the risk, which a certain morphing attack creates.
Key facts. Cited by 15 papers in the map (data through 7 Oct 2026). Builds on 2 of its 10 references that are in the map. First posted on arXiv 28 Apr 2022.
Builds on
2 of 10 references.
References · 2
Built on by
Citing papers per year: 2022: 1; 2023: 3; 2024: 7; 2025: 2; 2026: 2.
15 papers.
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- 2024Greedy-DiM: Greedy Algorithms for Unreasonably Effective Face Morphscited by 10
- 2024LADIMO: Face Morph Generation through Biometric Template Inversion with Latent Diffusioncited by 9
- 2022Deep Composite Face Image Attacks: Generation, Vulnerability and Detectioncited by 6
- 2023Fast-DiM: Towards Fast Diffusion Morphscited by 6
- 2024SynMorph: Generating Synthetic Face Morphing Dataset with Mated Samplescited by 3
- 2023Voice Morphing: Two Identities in One Voicecited by 2
- 2023Worst-Case Morphs using Wasserstein ALI and Improved MIPGANcited by 2
- 2024TetraLoss: Improving the Robustness of Face Recognition against Morphing Attackscited by 2
- 2024The Impact of Print-Scanning in Heterogeneous Morph Evaluation Scenarioscited by 2
- 2025StableMorph: High-Quality Face Morph Generation with Stable Diffusioncited by 2
- 2024V-MAD: Video-based Morphing Attack Detection in Operational Scenarioscited by 1
- 2025DOOMGAN:High-Fidelity Dynamic Identity Obfuscation Ocular Generative Morphingcited by 1
- 2026Arc2Morph: Identity-Preserving Facial Morphing with Arc2Face18 Feb 2026
- 2026VoxMorph: Scalable Zero-shot Voice Identity Morphing via Disentangled Embeddings27 Jan 2026
- 2025StableMorph: High-Quality Face Morph Generation with Stable Diffusion11 Nov 2025
- 2025DOOMGAN:High-Fidelity Dynamic Identity Obfuscation Ocular Generative Morphing23 Jul 2025
- 2024LADIMO: Face Morph Generation through Biometric Template Inversion with Latent Diffusion10 Oct 2024
- 2024SynMorph: Generating Synthetic Face Morphing Dataset with Mated Samples9 Sep 2024
- 2024MLSD-GAN -- Generating Strong High Quality Face Morphing Attacks using Latent Semantic Disentanglement19 Apr 2024
- 2024V-MAD: Video-based Morphing Attack Detection in Operational Scenarios10 Apr 2024
- 2024The Impact of Print-Scanning in Heterogeneous Morph Evaluation Scenarios9 Apr 2024
- 2024Greedy-DiM: Greedy Algorithms for Unreasonably Effective Face Morphs9 Apr 2024
- 2024TetraLoss: Improving the Robustness of Face Recognition against Morphing Attacks21 Jan 2024
- 2023Fast-DiM: Towards Fast Diffusion Morphs14 Oct 2023
3 more
- 2023Worst-Case Morphs using Wasserstein ALI and Improved MIPGAN12 Oct 2023
- 2023Voice Morphing: Two Identities in One Voice5 Sep 2023
- 2022Deep Composite Face Image Attacks: Generation, Vulnerability and Detection20 Nov 2022
- 2024Greedy-DiM: Greedy Algorithms for Unreasonably Effective Face Morphscited by 10
- 2022Deep Composite Face Image Attacks: Generation, Vulnerability and Detectioncited by 6
- 2023Fast-DiM: Towards Fast Diffusion Morphscited by 6
- 2024SynMorph: Generating Synthetic Face Morphing Dataset with Mated Samplescited by 3
- 2023Voice Morphing: Two Identities in One Voicecited by 2
- 2023Worst-Case Morphs using Wasserstein ALI and Improved MIPGANcited by 2
- 2024TetraLoss: Improving the Robustness of Face Recognition against Morphing Attackscited by 2
- 2024The Impact of Print-Scanning in Heterogeneous Morph Evaluation Scenarioscited by 2
- 2024V-MAD: Video-based Morphing Attack Detection in Operational Scenarioscited by 1
- 2025DOOMGAN:High-Fidelity Dynamic Identity Obfuscation Ocular Generative Morphingcited by 1
- 2024MLSD-GAN -- Generating Strong High Quality Face Morphing Attacks using Latent Semantic Disentanglementcited by 0
- 2026VoxMorph: Scalable Zero-shot Voice Identity Morphing via Disentangled Embeddingscited by 0
12 most cited of 13 All 13 (JSON)
- 2026Arc2Morph: Identity-Preserving Facial Morphing with Arc2Face18 Feb 2026
- 2026VoxMorph: Scalable Zero-shot Voice Identity Morphing via Disentangled Embeddings27 Jan 2026
- 2025DOOMGAN:High-Fidelity Dynamic Identity Obfuscation Ocular Generative Morphing23 Jul 2025
- 2024SynMorph: Generating Synthetic Face Morphing Dataset with Mated Samples9 Sep 2024
- 2024MLSD-GAN -- Generating Strong High Quality Face Morphing Attacks using Latent Semantic Disentanglement19 Apr 2024
- 2024V-MAD: Video-based Morphing Attack Detection in Operational Scenarios10 Apr 2024
- 2024The Impact of Print-Scanning in Heterogeneous Morph Evaluation Scenarios9 Apr 2024
- 2024Greedy-DiM: Greedy Algorithms for Unreasonably Effective Face Morphs9 Apr 2024
- 2024TetraLoss: Improving the Robustness of Face Recognition against Morphing Attacks21 Jan 2024
- 2023Fast-DiM: Towards Fast Diffusion Morphs14 Oct 2023
- 2023Worst-Case Morphs using Wasserstein ALI and Improved MIPGAN12 Oct 2023
- 2023Voice Morphing: Two Identities in One Voice5 Sep 2023
12 newest of 13 All 13 (JSON)