arXiv — cs.AI preprintsInternational9 October 2026
UniShield: An Adaptive Multi-Agent Framework for Unified Forgery Image Detection and Localization
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arXiv:2510.03161v4 Announce Type: replace-cross Abstract: With the rapid advancements in image generation, synthetic images have become increasingly realistic, posing significant societal risks, such as misinformation and fraud. Forgery Image Detection and Localization (FIDL) thus emerges as essential for maintaining information integrity and societal security. Despite impressive performances by existing domain-specific detection methods, their practical applicability remains limited, primarily due to their narrow specialization, poor cross-domain generalization, and the absence of an integrat
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