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Scalable, Energy-Efficient Optical-Neural Architecture for Multiplexed Deepfake Video Detection

Kashani, Parnian Ghapandar et al.
arXiv (All) · Papers
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applied-physicscomputer-vision-and-pattern-recognitionmachine-learningneural-and-evolutionary-computingoptics
The rapid proliferation of AI-generated visual media has created an urgent need for efficient, trustworthy deepfake detection systems. However, existing deep learning-based detection methods rely on computationally intensive and energy-demanding inference algorithms, limiting their scalability. Here
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