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Deepfake Detection on Generalization Evaluation Suite

100ProGAN Accuracy

Gragn. et al.

Updated 4d ago

Evaluation Results

Method
Gragn. et al. 2025.12	100	93.27	91.75	97.55	94.13	99.65	97.25	89.75	97.47	67.45	60.65	69.38	67.3	62.33	59.7	57.75	65.31	50.02	76.59
Corvi et al. 2025.12	100	95.85	90.35	98.4	92.46	99	97.65	84.9	82.79	65.3	69.3	58.98	53.1	58.83	55.7	52.1	59.38	50.11	72.72
Wang et al. 2025.12	99.9	67.65	79.5	72.65	76.63	89.72	82.1	77.05	80.68	56.45	55.05	61.15	62.9	54.03	52.5	53.4	52.67	49.68	66.09
Khan et al. 2025.12	99.88	94.75	97.45	95.3	95.47	99.12	93.35	78.35	93.11	94.55	92	94.27	81.65	89.18	67.7	71.6	77.11	70.16	88.72
Khan et al. 2025.12	99.83	93.8	95.6	93.5	93.43	99.15	95.25	82.95	93.11	94.95	91.5	92.88	84.3	88.16	76.45	77.8	78.45	74.66	89.45
Wang et al. 2025.12	99.65	58.13	77.8	50.3	75.56	79.99	69.8	62.3	53.42	51.05	51.9	54.33	52.35	51.35	50.15	51	51.46	50.02	59.18
Khan et al. 2025.12	99.6	77.38	71.55	98.4	65.7	100	94.85	95.3	99.89	94.4	93.2	88.78	92.35	95.17	91.75	97.35	76.46	52.11	88.74
Ojha et al. 2025.12	98.94	94.48	94.2	57.75	94.65	87.49	85.55	83.4	75.42	89.45	89.2	82.15	79	87.8	81.9	74.15	62.71	64.3	82.84
Khan et al. 2025.12	98.5	91.75	91	98.2	88.08	94.42	81.4	71.7	94.11	91.05	85.8	90.55	79.05	87.42	77.3	83.85	69.37	68.3	86.26
AdaptPrompt_v2 2025.12	98.46	70.47	70.1	98.1	69.99	97.72	94.35	89.8	97.26	97	95.75	90.7	93.5	92.33	98.1	97.9	57.51	58.18	88.93
AdaptPrompt_v0 2025.12	98.4	69.72	71.35	96.2	66.65	93.87	95.35	91	97.84	94.55	94.65	88.18	89.2	91.75	96.2	96	53.63	54.95	87.34
Adapter_v0 2025.12	98.24	73.95	79.4	98.35	74.52	95.42	95.2	86.75	98.89	96.85	96.45	88.68	91	92.18	98.35	97.85	54.45	57.11	88.88
Prompt Tuning_v2 2025.12	98.2	70.15	72.9	96.15	64.22	97.85	95.2	90.4	99.85	94.25	93.65	87.05	88.9	90.27	96.15	95.7	52.3	54.12	87.11
Adapter_v2 2025.12	97.45	80.67	80.9	99.1	79.98	97.72	90.4	79.45	99.05	95.85	93.5	81.63	85.75	87.73	99.15	98.25	55	54.82	87.31
Prompt Tuning_v0 2025.12	93.76	73.65	73.55	97.6	72.09	90.4	95.05	86.3	98.84	95.5	95.65	84.98	89.85	90.62	97.5	97.1	51.58	52	86.96
Linear Probing_v2 2025.12	93.24	68.58	65.5	93.95	64.83	87.97	93.7	86.7	96.37	94.8	97.7	72.88	89.05	83.52	95.9	95.8	52.43	51.21	82
Fine Tuning_v1 2025.12	92.51	61.23	61.1	94.55	51.83	96.17	88.75	90.4	98.05	93.85	93.05	85.23	90.6	94.28	94.55	94.55	50.19	51.32	84.98
Fine Tuning_v2 2025.12	92.11	64.78	65.55	98.1	53.57	94.2	87.7	87.75	99.26	97.1	96.75	88.23	92.95	97.32	98.1	97.8	50.73	52	87.08
Linear Probing_v0 2025.12	89.14	64.95	66.85	95.1	60.13	79.83	95.15	86.7	97.58	94.15	92.65	71.57	89.45	84.07	95.25	95.25	49.02	51.04	80.59
Fine Tuning_v0 2025.12	88.79	65.12	63.5	98.5	53.78	96.82	87.25	89.8	99.68	97.65	97.7	87.55	94.5	98.05	98.4	98.35	52.43	51.21	87.39
Corvi et al. 2025.12	50.94	51.82	46.2	49.25	50.86	48.02	59.4	50.95	50.05	77.65	87	59.83	50.95	99.25	99.25	93.1	69.87	48.14	66.4