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Disentangling forgery cues from environmental noise could revolutionize deepfake detection, leading to models that generalize better across diverse conditions.
Gaze, often overlooked, reveals deepfake origins with surprising accuracy, enabling a new CLIP-based approach that significantly boosts deepfake attribution and detection.
