AINeutralarXiv – CS AI · Jun 236/10
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Towards Reliable Audio Deepfake Attribution and Model Recognition: A Multi-Level Autoencoder-Based Framework
Researchers introduce LAVA, a hierarchical framework using convolutional autoencoders to detect audio deepfakes and identify their source generation models with 95%+ accuracy. The system addresses a critical gap in deepfake attribution, moving beyond detection to pinpoint which specific AI model created fraudulent audio content.
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