The concept of a deepfake detection system of biometric image modifications based on neural networks

V. Dudykevych, H. Mykytyn, Khrystyna Ruda
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Abstract

The concept of a system for detecting deepfake modifications in biometric images is proposed. The concept is deployed based on the functioning of a convolutional neural network and the algorithm of the biometric image classifier according to the structure “sensitivity-Youden's index-optimal threshold-specificity”.
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提出了一种检测生物特征图像中深度假修改的系统概念。该概念基于卷积神经网络的功能和生物特征图像分类器的算法,按照“灵敏度-约登指数-最优阈值-特异性”的结构进行部署。
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