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Found 7 papers, 0 papers with code
SaFL: Sybil-aware Federated Learning with Application to Face Recognition
Federated Learning (FL) is a machine learning paradigm to conduct collaborative learning among clients on a joint model.
Optimizing Key-Selection for Face-based One-Time Biometrics via Morphing
Nowadays, facial recognition systems are still vulnerable to adversarial attacks.
PAD-Phys: Exploiting Physiology for Presentation Attack Detection in Face Biometrics
Presentation Attack Detection (PAD) is a crucial stage in facial recognition systems to avoid leakage of personal information or spoofing of identity to entities.
Combining Blockchain and Biometrics: A Survey on Technical Aspects and a First Legal Analysis
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.
OTB-morph: One-Time Biometrics via Morphing
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.
Toward Face Biometric De-identification using Adversarial Examples
The remarkable success of face recognition (FR) has endangered the privacy of internet users particularly in social media.
OTB-morph: One-Time Biometrics via Morphing applied to Face Templates
Cancelable biometrics refers to a group of techniques in which the biometric inputs are transformed intentionally using a key before processing or storage.
