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Researchers at Keele University developed FDIP-NET, a physics-inspired AI model that distinguishes genuine faces from deepfakes using color and brightness patterns. The tool achieved 98.654% accuracy on the DFRI dataset and 99.669% on RFF-140K. Published in Frontiers in Imaging in 2026, the study highlights the method's potential for combating identity theft and misinformation in digital media.
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