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De-Fake: Detection and Attribution of Fake Images Generated by Text-to-Image Diffusion Models

The De-Fake dataset is a detection and attribution of fake images generated by text-to-image diffusion models.

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Cite this as

Zheng Li, Ning Yu, Zeyang Sha, Yang Zhang (2024). Dataset: De-Fake: Detection and Attribution of Fake Images Generated by Text-to-Image Diffusion Models. https://doi.org/10.57702/hc2ih6fa

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Additional Info

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Created December 3, 2024
Last update December 3, 2024
Defined In https://doi.org/10.48550/arXiv.2403.18471
Author Zheng Li
More Authors
Ning Yu
Zeyang Sha
Yang Zhang
Homepage https://arxiv.org/abs/2210.06998