☆ 4.6 Article

Detecting Deepfake Voice Using Explainable Deep Learning Techniques

APPLIED SCIENCES-BASEL (2022)

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Explaining CNN and RNN Using Selective Layer-Wise Relevance Propagation

Yeon-Jee Jung et al.

Summary: Deep learning has shown excellent performance in various AI fields, but the black-box problem complicates the interpretation of models and predictions. With the introduction of explainable AI, various methods have been proposed to visually explain model predictions. In this study, a selective layer-wise relevance propagation method is introduced, which produces a clearer heatmap by combining relevance-based and gradient-based methods.

IEEE ACCESS (2021)

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Article Computer Science, Information Systems