This paper presents a robust biometric authentication scheme designed to protect against replay attacks using one-time biometric templates. The authors, Tanguy Gernot and Christophe Rosenberger, propose a method that generates unique, non-replayable templates for user authentication, enhancing security and privacy. The scheme is generic and can be applied to any biometric modality, such as face or fingerprint recognition, and is protected by deep learning feature extraction and biohashing, a cancelable biometric scheme. Cryptographic hashing and symmetric encryption ensure the template's one-time use, making it resistant to replay attacks. The method is evaluated on two common biometric datasets, demonstrating its efficiency and robustness against various attacks. The paper also discusses the security and privacy threat model, related works, and experimental results, showing that the proposed scheme meets strong authentication requirements and provides high accuracy in both identification and authentication contexts.This paper presents a robust biometric authentication scheme designed to protect against replay attacks using one-time biometric templates. The authors, Tanguy Gernot and Christophe Rosenberger, propose a method that generates unique, non-replayable templates for user authentication, enhancing security and privacy. The scheme is generic and can be applied to any biometric modality, such as face or fingerprint recognition, and is protected by deep learning feature extraction and biohashing, a cancelable biometric scheme. Cryptographic hashing and symmetric encryption ensure the template's one-time use, making it resistant to replay attacks. The method is evaluated on two common biometric datasets, demonstrating its efficiency and robustness against various attacks. The paper also discusses the security and privacy threat model, related works, and experimental results, showing that the proposed scheme meets strong authentication requirements and provides high accuracy in both identification and authentication contexts.