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Study: New deepfake detector designed to be less biased

First-Ever Deepfake Detection System Designed to Be Less Biased Developed by UB Team

A new deepfake detection system was developed to mitigate biases present in existing models. Siwei Lyu, a computer scientist at the University at Buffalo (UB) and an expert in deepfake technology, has introduced novel deepfake detection algorithms designed to mitigate biases present in existing models.

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