Deepfake detection is losing ground to generative models
Deepfake detection has been built around a single question for close to a decade. Given a video or audio clip, is it real or synthetic? Commercial detectors analyze pixels, frequencies, and biometric signals to answer that question, and the best of them post strong accuracy numbers on standard benchmarks. In deployment, performance drops sharply on content from newer generators. Researchers at the Vector Institute think this gap is structural, and closing it means rethinking what … More
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