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Non-intrusive deep learning-based computational speech metrics with high-accuracy across a wide range of acoustic scenes von Diehl, Peter Udo, Thorbergsson, Leifur, Singer, Yosef, Skripniuk, Vladislav, Pudszuhn, Annett, Hofmann, Veit M, Sprengel, Elias, Meyer-Rachner, Paul

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Responsible Disclosure of Generative Models Using Scalable Fingerprinting von Yu, Ning, Skripniuk, Vladislav, Chen, Dingfan, Davis, Larry, Fritz, Mario

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Artificial Fingerprinting for Generative Models: Rooting Deepfake Attribution in Training Data von Yu, Ning, Skripniuk, Vladislav, Abdelnabi, Sahar, Fritz, Mario

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Responsible Disclosure of Generative Models Using Scalable Fingerprinting von Yu, Ning, Skripniuk, Vladislav, Chen, Dingfan, Davis, Larry, Fritz, Mario

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Artificial Fingerprinting for Generative Models: Rooting Deepfake Attribution in Training Data von Yu, Ning, Skripniuk, Vladislav, Abdelnabi, Sahar, Fritz, Mario

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