A 100-image cross-paradigm benchmark of 36 deepfake detectors reveals that ROC-AUC and MCC diverge sharply, meaning strong class-separation ranking does not guarantee reliable default-threshold decisions.
The advantages of the Matthews correlation coefficient (MCC) over F1 score and accuracy in binary classification evaluation.BMC Genomics, 21(1):6, 2020
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VendorBench-100: A Unified Cross-Paradigm Benchmark for Deepfake Image Detection
A 100-image cross-paradigm benchmark of 36 deepfake detectors reveals that ROC-AUC and MCC diverge sharply, meaning strong class-separation ranking does not guarantee reliable default-threshold decisions.