A multi-agent forensic system integrates multiple evidence sources and debate to detect AI-generated images, reporting 97.05% accuracy on a 6,000-image benchmark while outperforming traditional classifiers.
Tanzib Hosain, Salman Rahman, Md
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Empirical comparison shows APPLE, FedGC, and FedProto outperform other PFL algorithms on MNIST, SignMNIST, and Digit5 using accuracy, precision, recall, and F1 score.
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From Evidence to Verdict: An Agent-Based Forensic Framework for AI-Generated Image Detection
A multi-agent forensic system integrates multiple evidence sources and debate to detect AI-generated images, reporting 97.05% accuracy on a 6,000-image benchmark while outperforming traditional classifiers.