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Transferability Analysis of an Adversarial Attack on Gender Classification to Face Recognition
BIOSIG 2021 - Proceedings of the 20th International Conference of the Biometrics Special Interest Group
Modern biometric systems establish their decision based on the outcome of machine learning (ML) classifiers trained to make accurate predictions. Such classifiers are vulnerable to diverse adversarial attacks, altering the classifiers' predictions by adding a crafted perturbation. According to ML literature, those attacks ...