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Face morphing attacks circumvent face recognition systems (FRSs) by creating a morphed image that contains multiple identities. However, existing face morphing attack methods either sacrifice image quality or compromise the identity…

Computer Vision and Pattern Recognition · Computer Science 2024-03-19 Zuyuan He , Zongyong Deng , Qiaoyun He , Qijun Zhao

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

Face Recognition systems (FRS) have been found to be vulnerable to morphing attacks, where the morphed face image is generated by blending the face images from contributory data subjects. This work presents a novel direction for generating…

Computer Vision and Pattern Recognition · Computer Science 2023-10-16 Jag Mohan Singh , Raghavendra Ramachandra

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

The vulnerability of Face Recognition System (FRS) to various kind of attacks (both direct and in-direct attacks) and face morphing attacks has received a great interest from the biometric community. The goal of a morphing attack is to…

Computer Vision and Pattern Recognition · Computer Science 2020-11-05 Sushma Venkatesh , Raghavendra Ramachandra , Kiran Raja , Christoph Busch

In this paper, we propose a novel approach for conducting face morphing attacks, which utilizes optimal-landmark-guided image blending. Current face morphing attacks can be categorized into landmark-based and generation-based approaches.…

Computer Vision and Pattern Recognition · Computer Science 2024-01-31 Qiaoyun He , Zongyong Deng , Zuyuan He , Qijun Zhao

Morphing attacks is 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 or…

Computer Vision and Pattern Recognition · Computer Science 2020-12-11 Eklavya Sarkar , Pavel Korshunov , Laurent Colbois , Sébastien Marcel

The primary objective of face morphing is to combine face images of different data subjects (e.g. a malicious actor and an accomplice) to generate a face image that can be equally verified for both contributing data subjects. In this paper,…

Computer Vision and Pattern Recognition · Computer Science 2020-07-08 Sushma Venkatesh , Haoyu Zhang , Raghavendra Ramachandra , Kiran Raja , Naser Damer , Christoph Busch

Face Morphing Attacks pose a threat to the security of identity documents, especially with respect to a subsequent access control process, because it enables both individuals involved to exploit the same document. In this study, face…

Computer Vision and Pattern Recognition · Computer Science 2024-10-21 Roman Kessler , Kiran Raja , Juan Tapia , Christoph Busch

Face-morphing attacks are a growing concern for biometric researchers, as they can be used to fool face recognition systems (FRS). These attacks can be generated at the image level (supervised) or representation level (unsupervised).…

Computer Vision and Pattern Recognition · Computer Science 2024-04-22 Aravinda Reddy PN , Raghavendra Ramachandra , Krothapalli Sreenivasa Rao , Pabitra Mitra

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

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 Attack Detection (MAD) is a relevant topic that aims to detect attempts by unauthorised individuals to access a "valid" identity. One of the main scenarios is printing morphed images and submitting the respective print in a…

Computer Vision and Pattern Recognition · Computer Science 2024-08-20 Juan E. Tapia , Maximilian Russo , Christoph Busch

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 have raised critical concerns as they demonstrate a new vulnerability of Face Recognition Systems (FRS), which are widely deployed in border control applications. The face morphing process uses the images from multiple…

Computer Vision and Pattern Recognition · Computer Science 2020-09-22 Sushma Venkatesh , Kiran Raja , Raghavendra Ramachandra , Christoph Busch

Face Recognition Systems (FRS) are widely used in commercial environments, such as e-commerce and e-banking, owing to their high accuracy in real-world conditions. However, these systems are vulnerable to facial morphing attacks, which are…

Computer Vision and Pattern Recognition · Computer Science 2024-04-25 Jag Mohan Singh , Raghavendra Ramachandra

Face morphing attacks are widely recognized as one of the most challenging threats to face recognition systems used in electronic identity documents. These attacks exploit a critical vulnerability in passport enrollment procedures adopted…

Computer Vision and Pattern Recognition · Computer Science 2026-02-19 Nicolò Di Domenico , Annalisa Franco , Matteo Ferrara , Davide Maltoni

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

Face morphing attacks aim at creating face images that are verifiable to be the face of multiple identities, which can lead to building faulty identity links in operations like border checks. While creating a morphed face detector (MFD),…

Computer Vision and Pattern Recognition · Computer Science 2021-09-27 Naser Damer , Kiran Raja , Marius Süßmilch , Sushma Venkatesh , Fadi Boutros , Meiling Fang , Florian Kirchbuchner , Raghavendra Ramachandra , Arjan Kuijper

Face-morphing attacks have been a cause for concern for a number of years. Striving to remain one step ahead of attackers, researchers have proposed many methods of both creating and detecting morphed images. These detection methods,…

Computer Vision and Pattern Recognition · Computer Science 2020-12-22 Richard T. Marriott , Sami Romdhani , Stéphane Gentric , Liming Chen
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