ENHANCING EXPLAINABILITY IN DEEPFAKE DETECTION WITH GRAPH ATTENTION NETWORKS
Understanding how artificial intelligence models make decisions is important, especially for difficult tasks like detecting deepfakes, where it's not enough to just get a result – it needs to know why the model made that choice. Many current methods, like Shapley additive explanations (SHAP) an...
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| Main Authors: | , |
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| Format: | Article |
| Language: | English |
| Published: |
Joint Stock Company "Experimental Scientific and Production Association SPELS
2025-05-01
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| Series: | Безопасность информационных технологий |
| Subjects: | |
| Online Access: | https://bit.spels.ru/index.php/bit/article/view/1776 |
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