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Only Train Once: Uncertainty-Aware One-Class Learning for Face Authenticity Detection
The rapid evolution of generative paradigms has enabled the creation of highly realistic imagery, which escalates the risks of identity fraud and the dissemination of disinformation. Most existing approaches frame face forgery detection as a fully supervised binary classification problem. Consequent
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