Within-domain and cross-domain evaluations of various deepfake detectors and backbones using the AUC metric.

All detectors are trained on FF-c23 and evaluated on other datasets. Avg. donates the average AUC for within-domain and cross-domain evaluations, and the best result for each group is highlighted in bord. † represents our reproduced results, while DeepfakeBench provides others. The values reported are accompanied by ±, which represents the margin of error corresponding to the values in the previous row, and the confidence interval is at a 95% confidence level.