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ResearchFormerly WizWand

Deepfake Detection on Pro GAN

1APWang et al.
0.9150320.9370910.959150.981209Dec 19, 2025
Updated 8mo ago

Evaluation results

MethodLinks
Wang et al.Variant=Blur+JPEG (0.1)2025.121
Wang et al.Variant=Blur+JPEG (0.5)2025.121
Gragn. et al.Variant=ResNet-50 No Downsample2025.121
Corvi et al.Variant=ProGAN/LSUN2025.121
Khan et al.Variant=Fine Tuning2025.121
Khan et al.Variant=Adapter2025.121
Khan et al.Variant=Prompt Tuning2025.121
Ojha et al.Variant=CLIP Linear Probing2025.120.9999
Khan et al.Variant=Linear Probing2025.120.9991
Fine Tuning_v0Method Group=Ours_v02025.120.999
Adapter_v0Method Group=Ours_v02025.120.999
Adapter_v1Method Group=Ours_v12025.120.999
AdaptPrompt_v0Method Group=Ours_v02025.120.9987
AdaptPrompt_v1Method Group=Ours_v12025.120.9987
AdaptPrompt_v2Method Group=Ours_v22025.120.9982
Prompt Tuning_v0Method Group=Ours_v02025.120.9979
Prompt Tuning_v1Method Group=Ours_v12025.120.9979
Prompt Tuning_v2Method Group=Ours_v22025.120.9978
Fine Tuning_v2Method Group=Ours_v22025.120.9977
Adapter_v2Method Group=Ours_v22025.120.9976
Fine Tuning_v1Method Group=Ours_v12025.120.9941
Linear Probing_v2Method Group=Ours_v22025.120.9853
Linear Probing_v0Method Group=Ours_v02025.120.9764
Corvi et al.Variant=Latent/LSUN2025.120.9183