CGCNN: Complex Gabor Convolutional Neural Network on Raw Speech. - Paul-Gauthier Noé; Titouan Parcollet; Mohamed Morchid (ICASSP, 2020)

The Privacy ZEBRA: Zero Evidence Biometric Recognition Assessment. - Andreas Nautsch; Jose Patino 001; Natalia A. Tomashenko; Junichi Yamagishi; Paul-Gauthier Noé; Jean-François Bonastre; Massimiliano Todisco; Nicholas W. D. Evans (INTERSPEECH, 2020)

Speech Pseudonymisation Assessment Using Voice Similarity Matrices. - Paul-Gauthier Noé; Jean-François Bonastre; Driss Matrouf; Natalia A. Tomashenko; Andreas Nautsch; Nicholas W. D. Evans (INTERSPEECH, 2020)

Introducing the VoicePrivacy Initiative. - Natalia A. Tomashenko; Brij Mohan Lal Srivastava; Xin Wang 037; Emmanuel Vincent 001; Andreas Nautsch; Junichi Yamagishi; Nicholas W. D. Evans; Jose Patino 001; Jean-François Bonastre; Paul-Gauthier Noé; Massimiliano Todisco (INTERSPEECH, 2020)

Denoising x-vectors for Robust Speaker Recognition. - Mohammad MohammadAmini; Driss Matrouf; Paul-Gauthier Noé (Odyssey, 2020)

Adversarial Disentanglement of Speaker Representation for Attribute-Driven Privacy Preservation. - Paul-Gauthier Noé; Mohammad MohammadAmini; Driss Matrouf; Titouan Parcollet; Jean-François Bonastre (CoRR, 2020)

Adversarial Disentanglement of Speaker Representation for Attribute-Driven Privacy Preservation. - Paul-Gauthier Noé; Mohammad MohammadAmini; Driss Matrouf; Titouan Parcollet; Andreas Nautsch; Jean-François Bonastre (Interspeech, 2021)

Benchmarking and challenges in security and privacy for voice biometrics. - Jean-François Bonastre; Héctor Delgado; Nicholas W. D. Evans; Tomi Kinnunen; Kong Aik Lee; Xuechen Liu; Andreas Nautsch; Paul-Gauthier Noé; Jose Patino 001; Md. Sahidullah; Brij Mohan Lal Srivastava; Massimiliano Todisco; et al. (CoRR, 2021)

A Bridge between Features and Evidence for Binary Attribute-Driven Perfect Privacy. - Paul-Gauthier Noé; Andreas Nautsch; Driss Matrouf; Pierre-Michel Bousquet; Jean-François Bonastre (ICASSP, 2022)

The VoicePrivacy 2020 Challenge Evaluation Plan. - Natalia A. Tomashenko; Brij Mohan Lal Srivastava; Xin Wang 037; Emmanuel Vincent 001; Andreas Nautsch; Junichi Yamagishi; Nicholas W. D. Evans; Jose Patino 001; Jean-François Bonastre; Paul-Gauthier Noé; Massimiliano Todisco (CoRR, 2022)

Towards a unified assessment framework of speech pseudonymisation. - Paul-Gauthier Noé; Andreas Nautsch; Nicholas W. D. Evans; Jose Patino 001; Jean-François Bonastre; Natalia A. Tomashenko; Driss Matrouf (Comput. Speech Lang., 2022)

The VoicePrivacy 2020 Challenge: Results and findings. - Natalia A. Tomashenko; Xin Wang 037; Emmanuel Vincent 001; Jose Patino 001; Brij Mohan Lal Srivastava; Paul-Gauthier Noé; Andreas Nautsch; Nicholas W. D. Evans; Junichi Yamagishi; Benjamin O'Brien; Anaïs Chanclu; Jean-François Bonastre; et al. (Comput. Speech Lang., 2022)

Hiding Speaker's Sex in Speech Using Zero-Evidence Speaker Representation in an Analysis/Synthesis Pipeline. - Paul-Gauthier Noé; Xiaoxiao Miao; Xin Wang 037; Junichi Yamagishi; Jean-François Bonastre; Driss Matrouf (ICASSP, 2023)

New Challenges for Content Privacy in Speech and Audio. - Jennifer Williams 001; Karla Pizzi; Shuvayanti Das; Paul-Gauthier Noé (CoRR, 2023)

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). - Paul-Gauthier Noé (2023)

Explaining a Probabilistic Prediction on the Simplex with Shapley Compositions. - Paul-Gauthier Noé; Miquel Perelló-Nieto; Jean-François Bonastre; Peter A. Flach (ECAI, 2024)

Revisiting and Improving Scoring Fusion for Spoofing-aware Speaker Verification Using Compositional Data Analysis. - Xin Wang 037; Tomi Kinnunen; Kong Aik Lee; Paul-Gauthier Noé; Junichi Yamagishi (INTERSPEECH, 2024)

Exploratory Evaluation of Speech Content Masking. - Jennifer Williams 001; Karla Pizzi; Paul-Gauthier Noé; Sneha Das (CoRR, 2024)