Interpretable-through-prototypes deepfake detection for diffusion models
Author:
Affiliation:
1. Lancaster University,Lancaster,United Kingdom
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/10350357/10350360/10350382.pdf?arnumber=10350382
Reference42 articles.
1. Towards explainable deep neural networks (xDNN)
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4. Cifake: Image classification and explainable identification of ai-generated synthetic images;Bird;ArXiv,2023
5. Training Strategies and Data Augmentations in CNN-based DeepFake Video Detection
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