COF fuses epistemic, aleatoric, calibration, conformal and distributional uncertainties via simplex optimization of Pearson correlation with errors, outperforming alternatives under distribution shift on CelebDF but collapsing with all methods on cross-dataset tests.
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Architecture-Adaptive Uncertainty Fusion for Deepfake Detection
COF fuses epistemic, aleatoric, calibration, conformal and distributional uncertainties via simplex optimization of Pearson correlation with errors, outperforming alternatives under distribution shift on CelebDF but collapsing with all methods on cross-dataset tests.