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.
Drct: Diffusion reconstruction contrastive training towards universal detection of diffusion generated images
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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.