A Reptile-based meta-learning framework with adaptive sample synthesis and a multi-agent RAG workflow reports improved cross-dataset deepfake detection accuracy, but the evidence is undermined by evaluation and reproducibility issues.
A review of deep learning-based approaches for deepfake content detection,
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Adaptive Meta-Learning for Robust Deepfake Detection: A Multi-Agent Framework to Data Drift and Model Generalization
A Reptile-based meta-learning framework with adaptive sample synthesis and a multi-agent RAG workflow reports improved cross-dataset deepfake detection accuracy, but the evidence is undermined by evaluation and reproducibility issues.