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Adversarial Disentanglement of Speaker Representation for Attribute-Driven Privacy Preservation., , , , , and . Interspeech, page 1902-1906. ISCA, (2021)The Privacy ZEBRA: Zero Evidence Biometric Recognition Assessment., , , , , , , and . INTERSPEECH, page 1698-1702. ISCA, (2020)A bridge between features and evidence for binary attribute-driven perfect privacy., , , , and . CoRR, (2021)Representing evidence for attribute privacy: bayesian updating, compositional evidence and calibration. (Représentation de la preuve pour le respect de la vie privée: inférence bayésienne, preuve compositionnelle et calibration).. University of Avignon, France, (2023)Towards a unified assessment framework of speech pseudonymisation., , , , , , and . Comput. Speech Lang., (2022)Introducing the VoicePrivacy Initiative., , , , , , , , , and 1 other author(s). INTERSPEECH, page 1693-1697. ISCA, (2020)Hiding Speaker's Sex in Speech Using Zero-Evidence Speaker Representation in an Analysis/Synthesis Pipeline., , , , , and . ICASSP, page 1-5. IEEE, (2023)CGCNN: Complex Gabor Convolutional Neural Network on Raw Speech., , and . ICASSP, page 7724-7728. IEEE, (2020)Speech Pseudonymisation Assessment Using Voice Similarity Matrices., , , , , and . INTERSPEECH, page 1718-1722. ISCA, (2020)A Bridge between Features and Evidence for Binary Attribute-Driven Perfect Privacy., , , , and . ICASSP, page 3094-3098. IEEE, (2022)