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It is increasingly easy to automatically swap faces in images and video or morph two faces into one using generative adversarial networks (GANs). The high quality of the resulted deep-morph raises the question of how vulnerable the current…

Computer Vision and Pattern Recognition · Computer Science 2019-10-07 Pavel Korshunov , Sébastien Marcel

Face morphing attacks target to circumvent Face Recognition Systems (FRS) by employing face images derived from multiple data subjects (e.g., accomplices and malicious actors). Morphed images can be verified against contributing data…

Computer Vision and Pattern Recognition · Computer Science 2021-04-08 Haoyu Zhang , Sushma Venkatesh , Raghavendra Ramachandra , Kiran Raja , Naser Damer , Christoph Busch

Automatic border control systems are wide spread in modern airports worldwide. Morphing attacks on face biometrics is a serious threat that undermines the security and reliability of face recognition systems deployed in airports and border…

Computer Vision and Pattern Recognition · Computer Science 2023-10-18 Sherko R. HmaSalah , Aras Asaad

Face morphing attacks pose a substantial risk to the reliability of face recognition systems used in passport issuance, border control, and digital identity verification. Detecting morphing attacks from a single facial image remains…

Computer Vision and Pattern Recognition · Computer Science 2026-04-21 Raghavendra Ramachandra

Morphing is the process of combining two or more subjects in an image in order to create a new identity which contains features of both individuals. Morphed images can fool Facial Recognition Systems (FRS) into falsely accepting multiple…

Computer Vision and Pattern Recognition · Computer Science 2021-11-04 Kelsey O'Haire , Sobhan Soleymani , Baaria Chaudhary , Poorya Aghdaie , Jeremy Dawson , Nasser M. Nasrabadi

Morphing attacks are a threat to biometric systems where the biometric reference in an identity document can be altered. This form of attack presents an important issue in applications relying on identity documents such as border security…

Computer Vision and Pattern Recognition · Computer Science 2022-05-06 Eklavya Sarkar , Pavel Korshunov , Laurent Colbois , Sébastien Marcel

State-of-the-art face recognition (FR) approaches have shown remarkable results in predicting whether two faces belong to the same identity, yielding accuracies between 92% and 100% depending on the difficulty of the protocol. However, the…

Computer Vision and Pattern Recognition · Computer Science 2022-05-30 Stefan Hörmann , Tianlin Kong , Torben Teepe , Fabian Herzog , Martin Knoche , Gerhard Rigoll

Face morphing attacks pose an increasing threat to face recognition (FR) systems. A morphed photo contains biometric information from two different subjects to take advantage of vulnerabilities in FRs. These systems are particularly…

Computer Vision and Pattern Recognition · Computer Science 2024-11-13 Richard E. Neddo , Zander W. Blasingame , Chen Liu

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, posing a threat to their…

Computer Vision and Pattern Recognition · Computer Science 2025-01-28 Eduarda Caldeira , Guray Ozgur , Tahar Chettaoui , Marija Ivanovska , Peter Peer , Fadi Boutros , Vitomir Struc , Naser Damer

Morphing attacks are a form of presentation attacks that gathered increasing attention in recent years. A morphed image can be successfully verified to multiple identities. This operation, therefore, poses serious security issues related to…

Computer Vision and Pattern Recognition · Computer Science 2022-08-15 Biying Fu , Naser Damer

Face morphing, a sophisticated presentation attack technique, poses significant security risks to face recognition systems. Traditional methods struggle to detect morphing attacks, which involve blending multiple face images to create a…

Computer Vision and Pattern Recognition · Computer Science 2023-09-06 Iurii Medvedev , Joana Pimenta , Nuno Gonçalves

Face morphing represents nowadays a big security threat in the context of electronic identity documents as well as an interesting challenge for researchers in the field of face recognition. Despite of the good performance obtained by…

Computer Vision and Pattern Recognition · Computer Science 2021-02-25 Matteo Ferrara , Annalisa Franco , Davide Maltoni

With the continuous advancement of generative models, face morphing attacks have become a significant challenge for existing face verification systems due to their potential use in identity fraud and other malicious activities. Contemporary…

Computer Vision and Pattern Recognition · Computer Science 2025-04-09 Marija Ivanovska , Leon Todorov , Naser Damer , Deepak Kumar Jain , Peter Peer , Vitomir Štruc

A morph is created by combining two (or more) face images from two (or more) identities to create a composite image that is highly similar to all constituent identities, allowing the forged morph to be biometrically associated with more…

Computer Vision and Pattern Recognition · Computer Science 2025-07-29 Nitish Shukla , Arun Ross

Face morphing attacks compromise biometric security by creating document images that verify against multiple identities, posing significant risks from document issuance to border control. Differential Morphing Attack Detection (D-MAD)…

Computer Vision and Pattern Recognition · Computer Science 2026-03-31 Raul Ismayilov , Luuk Spreeuwers

We have witnessed rapid advances in both face presentation attack models and presentation attack detection (PAD) in recent years. Compared to widely studied 2D face presentation attacks (e.g. printed photos and video replays), 3D face…

Computer Vision and Pattern Recognition · Computer Science 2019-10-15 Shan Jia , Xin Li , Chuanbo Hu , Zhengquan Xu

A morphed face image is a synthetically created image that looks so similar to the faces of two subjects that both can use it for verification against a biometric verification system. It can be easily created by aligning and blending face…

Computer Vision and Pattern Recognition · Computer Science 2020-04-27 Clemens Seibold , Anna Hilsmann , Peter Eisert

Investigating new methods of creating face morphing attacks is essential to foresee novel attacks and help mitigate them. Creating morphing attacks is commonly either performed on the image-level or on the representation-level. The…

Computer Vision and Pattern Recognition · Computer Science 2023-03-14 Naser Damer , Meiling Fang , Patrick Siebke , Jan Niklas Kolf , Marco Huber , Fadi Boutros

Face morphing attacks have emerged as a potential threat, particularly in automatic border control scenarios. Morphing attacks permit more than one individual to use travel documents that can be used to cross borders using automatic border…

Computer Vision and Pattern Recognition · Computer Science 2023-03-27 Raghavendra Ramachandra , Sushma Venkatesh , Gaurav Jaswal , Guoqiang Li

Recently, synthetic aperture radar (SAR) image change detection has become an interesting yet challenging direction due to the presence of speckle noise. Although both traditional and modern learning-driven methods attempted to overcome…

Computer Vision and Pattern Recognition · Computer Science 2023-04-25 Gong Chen , Yanan Zhao , Yi Wang , Kim-Hui Yap