Deepfake Attribution on DF40 and FFHQ (unseen generators)

90.16SimSwap AccuracyGazeCLIP

Evaluation results

Method
GazeCLIP2026.03	90.16	5.12	93.44	79.36	98.48	96.48	98.48	94	92.88	58.24	80.66
CLIP2026.03	78.16	52.4	88	88.72	85.44	68.32	39.6	71.2	74.96	94.24	74.1
Lin et al.2026.03	73.2	18.96	70.85	75.61	68.32	50.79	48.16	50.67	51.14	35.7	54.28
PVLM2025.04	72.05	27.35	87.62	72.53	40.84	73.68	49.46	84.89	88.62	79.03	67.61
MFCLIP2026.03	71.52	14.48	68.32	72.64	61.36	49.2	53.28	39.92	39.28	2	47.2
PVLM2025.04	69.05	—	83.72	66.98	36.72	68.54	47.02	80.72	81.13	64.02	66.43
CPL2025.04	68.38	16.64	75.77	75.49	62.06	74.58	37.99	51.53	45.6	80.51	58.86
CPL2025.04	67.9	—	42.6	56.82	60.04	61.92	38.44	65.4	66.82	63.12	58.12
ViT2026.03	65.52	48	62	64.24	58.48	53.12	63.92	58.72	56.8	58.32	58.91
MFCLIP2025.04	63.2	1.76	64.16	63.84	50.48	63.12	25.84	39.28	33.84	28.32	43.38
DNA-Det2025.04	61.6	15.96	63.84	50.16	77.56	50	34.08	39.32	33.16	79.16	50.48
Xception2026.03	58.08	24.64	70.64	65.28	76.16	49.04	74.32	84.32	83.52	48.64	64.02
CViT2025.04	49.04	7.52	39.04	50	37.04	31.52	42.4	45.68	46.56	8.32	35.71
MFCLIP2025.04	46.72	—	31.12	44.96	57.04	35.76	26.16	30.16	27.12	49.28	38.7
ResNet2026.03	37.44	38.24	48.8	48	65.36	46.24	59.6	60.56	61.44	46.48	51.22
PVLM2025.04	36.89	15.8	54.71	39.07	17.95	34.51	30.91	50.77	50.43	45.68	37.67
CPL2025.04	35.7	8.9	37.03	36.26	28.55	35.69	12.65	24.87	20.21	42.72	28.26
CViT2026.03	34.24	1.28	36.72	31.44	49.76	13.28	49.84	66.64	65.04	36.56	38.48
MFCLIP2025.04	33.68	0.88	35.28	34.08	24.96	34.72	11.76	22	18.88	10.48	22.67
ForAdapter2025.04	32.08	—	22.72	33.12	20.8	11.76	43.84	30.72	31.36	31.04	28.6
ForAdapter2025.04	30	12.48	33.6	33.68	45.2	5.04	34.48	32.8	35.76	48.16	31.12
CViT2025.04	28.24	2.56	19.44	29.84	21.2	16.16	17.6	22.24	22.96	3.36	18.36
DNA-Det2025.04	27.56	7.96	26.28	18.2	39.48	26.32	19.84	16.68	13.2	42.32	23.78
PVLM2025.04	26.32	—	44.16	26.05	12.41	26.59	23.7	42.94	41.79	37.16	31.24
CViT2025.04	25.04	—	20.08	27.04	48	47.04	34.08	39.52	37.44	31.92	34.46
CPL2025.04	22.81	—	14.54	22.67	30.48	30.8	13.74	26.92	22.7	35.28	26.68
CLIP2025.04	21.92	38.8	27.04	21.2	62.8	15.36	42.24	18.72	23.04	88.64	35.98
MFCLIP2025.04	21.36	—	13.76	20.4	29.76	14.88	12.72	13.52	10.64	25.92	18.11
FA2026.03	20.64	13.84	22.56	30.4	36.24	8.24	44.24	31.52	32.88	54	29.46
CLIP2025.04	17.44	—	28.08	28.56	59.52	10.72	36.32	17.76	23.28	77.76	33.27
CLIP2025.04	16.8	25.84	19.12	14.88	40.56	12.16	24.64	14.08	15.92	86.8	27.08
DNA-Det2025.04	16.72	—	10.2	10.16	59.28	58.64	27.2	49.96	44.12	62.36	32.63
ForAdapter2025.04	13.2	—	11.2	15.12	8.72	5.2	22.8	13.52	13.84	14.88	13.16
OmniDFA2026.03	12.78	10.26	23.64	10.51	60.32	11.49	52.64	15.37	22.45	55.72	27.52
ForAdapter2025.04	12.48	5.44	16.88	15.04	21.6	1.76	16.56	15.92	16.24	24.4	14.63
DNA-Net2026.03	12.24	8.16	9.52	4.72	67.04	43.04	28.4	39.2	29.6	89.52	33.14
CAEL2025.04	12.24	10.16	21.6	18	65.36	36.64	64.8	8.08	9.6	62.08	30.86
CDAL2026.03	11.87	8.65	21.09	11.38	50.36	10.67	42.86	13.77	20.69	53.64	24.5
CViT2025.04	11.76	—	8.08	13.44	26.72	25.76	15.84	21.52	20.24	15.04	17.6
CLIP2025.04	9.12	—	20.16	18.24	37.6	7.2	19.52	10.48	14.4	64.88	22.4
CAEL2026.03	9.04	6.8	21.6	8.48	59.92	9.6	51.52	14.32	17.52	58.64	25.74
CAEL2025.04	6.56	—	9.52	9.6	43.04	1.92	61.44	5.44	6.56	49.12	21.46
DNA-Det2025.04	6.04	—	4.2	3.04	28.76	29.08	11.52	25.32	21.88	33.2	18.12
CARZero2025.04	4.9	25.01	3.49	3.09	20.44	7.21	14.03	3.45	5.25	19.02	11.72
CAEL2025.04	4.88	3.92	8.96	6.96	33.12	18.4	31.92	3.52	4.48	30.4	14.66
CARZero2025.04	3.82	—	3.73	3.71	17.04	6.92	17.44	3.59	5.37	20.05	9.07
CAEL2025.04	3.36	—	5.04	5.44	20.48	0.8	36.56	1.92	2.64	23.28	11.06
CARZero2025.04	3.04	13.47	2.76	2.54	10.43	3.73	6.19	1.36	2.88	9.37	6.2
DE-FAKE2025.04	2.32	24.24	2.88	2.48	19.84	5.12	13.28	1.92	3.52	17.44	9.3
CARZero2025.04	2.21	—	2.07	2.43	9.36	3.61	7.91	2.03	3.01	9.36	4.67
DE-FAKE2026.03	1.63	22.46	1.98	2.05	18.63	4.96	12.49	1.85	2.93	15.44	8.44
DE-FAKE2025.04	1.36	—	1.52	2.64	15.36	5.52	15.76	2.24	3.04	19.44	7.43
DE-FAKE2025.04	1.12	11.68	1.36	1.2	8.56	2.4	5.92	0.8	1.6	6.48	4.11
DE-FAKE2025.04	0.48	—	0.48	0.96	7.12	2	6.96	0.72	1.28	8.24	3.14