The paper introduces a deepfake OOD detector that combines reconstruction residual, latent encoding, and softmax confidence, and shows strong results only when real OOD samples are available for training.
Synthetic Image Verification in the Era of Generative AI: What Works and What Isn't There Yet
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In this work we present an overview of approaches for the detection and attribution of synthetic images and highlight their strengths and weaknesses. We also point out and discuss hot topics in this field and outline promising directions for future research.
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Enhancing Abnormality Identification: Robust Out-of-Distribution Strategies for Deepfake Detection
The paper introduces a deepfake OOD detector that combines reconstruction residual, latent encoding, and softmax confidence, and shows strong results only when real OOD samples are available for training.