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arXiv AI By Qing Huang, Zhipei Xu, Xuanyu Zhang, Xiangyu Yu, Jian Zhang

UniShield: An Adaptive Multi-Agent Framework for Unified Forgery Image Detection and Localization

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UniShield is a multi‑agent framework that unifies forgery image detection and localization across diverse domains such as image manipulation, document manipulation, DeepFake, and AI‑generated images. It combines a perception agent that analyzes image features to select appropriate detection models with a detection agent that integrates multiple expert detectors into a single system, producing interpretable reports. Experiments demonstrate that UniShield outperforms existing unified approaches and domain‑specific detectors, achieving state‑of‑the‑art performance and greater practicality, adaptiveness, and scalability.

Machine-generated by The Flow from the publisher's headline and feed description — not written or checked by a human. The full article lives at arXiv AI.

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