Dataset Groups Activity Stream 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. BibTex: @dataset{Zheng_Li_and_Ning_Yu_and_Zeyang_Sha_and_Yang_Zhang_2024, abstract = {The De-Fake dataset is a detection and attribution of fake images generated by text-to-image diffusion models.}, author = {Zheng Li and Ning Yu and Zeyang Sha and Yang Zhang}, doi = {10.57702/hc2ih6fa}, institution = {No Organization}, keyword = {'deep learning', 'face forgery', 'image synthesis', 'text-to-image diffusion models'}, month = {dec}, publisher = {TIB}, title = {De-Fake: Detection and Attribution of Fake Images Generated by Text-to-Image Diffusion Models}, url = {https://service.tib.eu/ldmservice/dataset/de-fake--detection-and-attribution-of-fake-images-generated-by-text-to-image-diffusion-models}, year = {2024} }
