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Department of Mathematics and Computer Science, University of Catania, Catania, Italy
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HexMIL achieves a remarkable +9.1 AUC and +9.4 F1 score improvement in detecting unseen medical deepfakes, setting a new standard for interpretability in AI-driven medical imaging.
Training deepfake detectors solely on real images can lead to significantly better generalization across unseen generator types.
