no code implementations • 7 Nov 2023 • Mahdi Ghafourian, Julian Fierrez, Ruben Vera-Rodriguez, Ruben Tolosana, Aythami Morales
Federated Learning (FL) is a machine learning paradigm to conduct collaborative learning among clients on a joint model.
no code implementations • 4 Oct 2023 • Daile Osorio-Roig, Mahdi Ghafourian, Christian Rathgeb, Ruben Vera-Rodriguez, Christoph Busch, Julian Fierrez
Nowadays, facial recognition systems are still vulnerable to adversarial attacks.
no code implementations • 3 Oct 2023 • Luis F. Gomez, Julian Fierrez, Aythami Morales, Mahdi Ghafourian, Ruben Tolosana, Imanol Solano, Alejandro Garcia, Francisco Zamora-Martinez
Presentation Attack Detection (PAD) is a crucial stage in facial recognition systems to avoid leakage of personal information or spoofing of identity to entities.
no code implementations • 21 Feb 2023 • Mahdi Ghafourian, Bilgesu Sumer, Ruben Vera-Rodriguez, Julian Fierrez, Ruben Tolosana, Aythami Moralez, Els Kindt
Meanwhile, blockchain, the very attractive decentralized ledger technology, has been widely received both by the research and industry in the past years and it is being increasingly deployed nowadays in many different applications, such as money transfer, IoT, healthcare, or logistics.
no code implementations • 17 Feb 2023 • Mahdi Ghafourian, Julian Fierrez, Ruben Vera-Rodriguez, Aythami Morales, Ignacio Serna
Cancelable biometrics are a group of techniques to transform the input biometric to an irreversible feature intentionally using a transformation function and usually a key in order to provide security and privacy in biometric recognition systems.
no code implementations • 7 Feb 2023 • Mahdi Ghafourian, Julian Fierrez, Luis Felipe Gomez, Ruben Vera-Rodriguez, Aythami Morales, Zohra Rezgui, Raymond Veldhuis
The remarkable success of face recognition (FR) has endangered the privacy of internet users particularly in social media.
no code implementations • 25 Nov 2021 • Mahdi Ghafourian, Julian Fierrez, Ruben Vera-Rodriguez, Ignacio Serna, Aythami Morales
Cancelable biometrics refers to a group of techniques in which the biometric inputs are transformed intentionally using a key before processing or storage.