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Idiap Research Institute
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Watermarking can expose hidden vulnerabilities in audio deepfake detection systems, leading to significant performance drops that vary by dataset.
Pretrained vision models can excel in face presentation attack detection, but their performance falters when faced with domain shifts across datasets.
Adapting foundation models with synthetic data can dramatically enhance face recognition accuracy, with some methods even surpassing traditional baselines.