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Improving the Perturbation-Based Explanation of Deepfake Detectors Through the Use of Adversarially-Generated Samples

Fuente: arXiv

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Bibliographic Details
Main Authors:	Tsigos, Konstantinos, Apostolidis, Evlampios, Mezaris, Vasileios
Format:	Preprint
Published:	2025
Subjects:	Computer Vision and Pattern Recognition Artificial Intelligence Cryptography and Security
Online Access:	Acceder al recurso
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