Deepfake detection requires spatial artifact inspection and audio-visual synchronization analysis.
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A deepfake alters or swaps the identity of a real person, often in video. Fully generated images are a different problem. Deepfake detection scores each detected face and must be interpreted together with context and provenance.
Deepfake detection focuses on facial alignment and identity modification artifacts.