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All fields Title Creator / Publisher Keyword Year AND OR AND NOT All fields Title Creator / Publisher Keyword Year AND OR AND NOT All fields Title Creator / Publisher Keyword Year AND OR AND NOT All fields Title Creator / Publisher Keyword Year AND OR AND NOT All fields Title Creator / Publisher Keyword Year Sort by creator [A → Z]' creator [Z → A]' publishing year ↑ (asc)' publishing year ↓ (desc)' title [A → Z]' title [Z → A]' Simple Search Hits 1 – 19 of 19 1 Differentially private speaker anonymization Shamsabadi, Ali Shahin; Srivastava, Brij Mohan Lal; Bellet, Aurélien... In: https://hal.inria.fr/hal-03588932 ; 2022 (2022) BASE Show details 2 Privacy and utility of x-vector based speaker anonymization Srivastava, Brij Mohan Lal; Maouche, Mohamed; Sahidullah, Md; Vincent, Emmanuel; Bellet, Aurélien; Tommasi, Marc; Tomashenko, Natalia; Wang, Xin; Yamagishi, Junichi In: https://hal.inria.fr/hal-03197376 ; 2021 (2021) Abstract: We study the scenario where individuals (speakers) contribute to the publication of an anonymized speech corpus. Data users then leverage this public corpus to perform downstream tasks (such as training automatic speech recognition systems), while attackers may try to de-anonymize itbased on auxiliary knowledge they collect. Motivated by this scenario, speaker anonymization aims to conceal the speaker identity while preserving the quality and usefulness of speech data. In this paper, we study x-vector based speaker anonymization, the leading approach in the recent Voice Privacy Challenge, which converts an input utterance into that of a random pseudo-speaker. We show that the strength of the anonymization varies significantly depending on how the pseudo-speaker is selected. In particular, we investigate four design choices: the distance measure between speakers, the region of x-vector space where the pseudo-speaker is mapped, the gender selection and whether to use speaker or utterance level assignment. We assess the quality of anonymization from the perspective of the three actors involved in our threat model, namely the speaker, the user and the attacker. To measure privacy and utility, we use respectively the linkability score achieved by the attackers and the decoding word error rate incurred by an ASR model trained with the anonymized data. Experiments on LibriSpeech dataset confirm that the optimal combination ofdesign choices yield state-of-the-art performance in terms of privacy protection as well as utility. Experiments on Mozilla Common Voice dataset show that the best design choices with 50 speakers guarantee the same anonymization level against re-identification attack as raw speech with 20,000 speakers. Keyword: [INFO.INFO-AI]Computer Science [cs]/Artificial Intelligence [cs.AI]; [INFO.INFO-CL]Computer Science [cs]/Computation and Language [cs.CL]; [INFO.INFO-LG]Computer Science [cs]/Machine Learning [cs.LG]; linkability; privacy; speaker anonymization; speaker identification; speech recognition; utility URL: https://hal.inria.fr/hal-03197376 BASE Hide details 3 Enhancing Speech Privacy with Slicing Maouche, Mohamed; Srivastava, Brij Mohan Lal; Vauquier, Nathalie... In: https://hal.inria.fr/hal-03369137 ; 2021 (2021) BASE Show details 4 D-Cliques: Compensating for Data Heterogeneity with Topology in Decentralized Federated Learning Bellet, Aurélien; Kermarrec, Anne-Marie; Lavoie, Erick In: https://hal.inria.fr/hal-03498160 ; 2021 (2021) BASE Show details 5 Privacy and utility of x-vector based speaker anonymization Srivastava, Brij Mohan Lal; Maouche, Mohamed; Sahidullah, Md... In: https://hal.inria.fr/hal-03197376 ; 2021 (2021) BASE Show details 6 Privacy Amplification by Decentralization Cyffers, Edwige; Bellet, Aurélien In: https://hal.inria.fr/hal-03100005 ; 2020 (2020) BASE Show details 7 Distributed Differentially Private Averaging with Improved Utility and Robustness to Malicious Parties Sabater, César; Bellet, Aurélien; Ramon, Jan In: NeurIPS 2020 workshop on Privacy Preserving Machine Learning - PriML and PPML Joint Edition ; https://hal.archives-ouvertes.fr/hal-03117816 ; NeurIPS 2020 workshop on Privacy Preserving Machine Learning - PriML and PPML Joint Edition, Dec 2020, Vancouver (Virtual Workshop), Canada ; https://ppml-workshop.github.io/ (2020) BASE Show details 8 Privacy Amplification by Decentralization Cyffers, Edwige; Bellet, Aurélien In: https://hal.inria.fr/hal-03100005 ; 2020 (2020) BASE Show details 9 Evaluating Voice Conversion-based Privacy Protection against Informed Attackers Srivastava, Brij Mohan Lal; Vauquier, Nathalie; Sahidullah, Md... In: ICASSP 2020 - 45th International Conference on Acoustics, Speech, and Signal Processing ; https://hal.inria.fr/hal-02355115 ; ICASSP 2020 - 45th International Conference on Acoustics, Speech, and Signal Processing, IEEE Signal Processing Society, May 2020, Barcelona, Spain. pp.2802-2806 (2020) BASE Show details 10 Fully Decentralized Joint Learning of Personalized Models and Collaboration Graphs Zantedeschi, Valentina; Bellet, Aurélien; Tommasi, Marc In: AISTATS 2020 - The 23rd International Conference on Artificial Intelligence and Statistics ; https://hal.inria.fr/hal-03100057 ; AISTATS 2020 - The 23rd International Conference on Artificial Intelligence and Statistics, Aug 2020, Palerme / Virtual, Italy ; https://aistats.org/aistats2020/ (2020) BASE Show details 11 Échange de bruit corrélé pour le calcul distribué de moyenne avec garanties de confidentialité différentielle Sabater, César; Bellet, Aurélien; Ramon, Jan In: Conférence sur l'Apprentissage Automatique 2020 ; https://hal.archives-ouvertes.fr/hal-03117907 ; Conférence sur l'Apprentissage Automatique 2020, Jun 2020, Vannes (Virtual), France ; https://cap-rfiap2020.sciencesconf.org/ (2020) BASE Show details 12 Distributed Differentially Private Averaging with Improved Utility and Robustness to Malicious Parties Sabater, César; Bellet, Aurélien; Ramon, Jan In: https://hal.inria.fr/hal-03100019 ; 2020 (2020) BASE Show details 13 Who started this rumor? Quantifying the natural differential privacy guarantees of gossip protocols Bellet, Aurélien; Guerraoui, Rachid; Hendrikx, Hadrien In: DISC 2020 - 34th International Symposium on Distributed Computing ; https://hal.inria.fr/hal-02166432 ; DISC 2020 - 34th International Symposium on Distributed Computing, Oct 2020, Freiburg / Virtual, Germany (2020) BASE Show details 14 Private Protocols for U-Statistics in the Local Model and Beyond Bell, James; Bellet, Aurélien; Gascón, Adrià... In: AISTATS 2020 - 23rd International Conference on Artificial Intelligence and Statistics ; https://hal.inria.fr/hal-02310236 ; AISTATS 2020 - 23rd International Conference on Artificial Intelligence and Statistics, Aug 2020, Palermo, Italy (2020) BASE Show details 15 Design Choices for X-vector Based Speaker Anonymization Srivastava, Brij Mohan Lal; Tomashenko, Natalia; Wang, Xin... In: INTERSPEECH 2020 ; https://hal.archives-ouvertes.fr/hal-02610447 ; INTERSPEECH 2020, International Speech Communication Association (ISCA), Oct 2020, Shanghai, China (2020) BASE Show details 16 A comparative study of speech anonymization metrics Maouche, Mohamed; Srivastava, Brij Mohan Lal; Vauquier, Nathalie... In: INTERSPEECH 2020 ; https://hal.inria.fr/hal-02907918 ; INTERSPEECH 2020, Oct 2020, Shanghai, China (2020) BASE Show details 17 Joint Learning of the Graph and the Data Representation for Graph-Based Semi-Supervised Learning ... The 28th International Conference on Computational Linguistics 2020; Bellet, Aurélien; Denis, Pascal. - : Underline Science Inc., 2020 BASE Show details 18 Privacy-Preserving Adversarial Representation Learning in ASR: Reality or Illusion? Srivastava, Brij Mohan Lal; Bellet, Aurélien; Tommasi, Marc... In: INTERSPEECH 2019 - 20th Annual Conference of the International Speech Communication Association ; https://hal.inria.fr/hal-02166434 ; INTERSPEECH 2019 - 20th Annual Conference of the International Speech Communication Association, Sep 2019, Graz, Austria (2019) BASE Show details 19 A Probabilistic Model for Joint Learning of Word Embeddings from Texts and Images Ailem, Melissa; Zhang, Bowen; Bellet, Aurélien... In: Conference on Empirical Methods in Natural Language Processing (EMNLP 2018) ; https://hal.inria.fr/hal-01922985 ; Conference on Empirical Methods in Natural Language Processing (EMNLP 2018), 2018, Brussels, Belgium (2018) BASE Show details

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