AI RESEARCH
Decoupling Semantics and Fingerprints: A Universal Representation for AI-Generated Image Detection
arXiv CS.CV
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ArXi:2605.07074v1 Announce Type: new Detecting AI-generated images across unseen architectures remains challenging, as existing models often overfit to generator-specific fingerprints and semantic content rather than learning universal forgery traces. We attribute this failure to feature entanglement: detectors learn these factors as a single entangled representation, where universal forgery traces are inextricably confounded with both generator-specific fingerprints and semantic content.