The Framework of Cross-Domain and Model Adversarial Attack against Deepfake
To protect images from the tampering of deepfake, adversarial examples can be made to replace the original images by distorting the output of the deepfake model and disrupting its work. Current studies lack generalizability in that they simply focus on the adversarial examples generated by a model i...
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| Principais autores: | , , |
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| Formato: | Artigo |
| Idioma: | Inglês |
| Publicado: |
MDPI AG
2022-01-01
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| Series: | Future Internet |
| Assuntos: | |
| Acceso en liña: | https://www.mdpi.com/1999-5903/14/2/46 |
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