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ORCIDMarc Tommasi
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Publications
- 2025
[i26]Clément Pierquin, Aurélien Bellet, Marc Tommasi, Matthieu Boussard:
Privacy Amplification Through Synthetic Data: Insights from Linear Regression. CoRR abs/2506.05101 (2025)- [i24]Vincent Roca, Marc Tommasi, Paul Andrey, Aurélien Bellet, Markus D. Schirmer, Hilde Henon, Laurent Puy, Julien Ramon, Grégory Kuchcinski, Martin Bretzner, Renaud Lopes:
Federated Learning for MRI-based BrainAGE: a multicenter study on post-stroke functional outcome prediction. CoRR abs/2506.15626 (2025) - 2024
- [c41]Batiste Le Bars, Aurélien Bellet, Marc Tommasi, Kevin Scaman, Giovanni Neglia:
Improved Stability and Generalization Guarantees of the Decentralized SGD Algorithm. ICML 2024 - [c40]Clément Pierquin, Aurélien Bellet, Marc Tommasi, Matthieu Boussard:
Rényi Pufferfish Privacy: General Additive Noise Mechanisms and Privacy Amplification by Iteration via Shift Reduction Lemmas. ICML 2024 - 2023
- [j7]Ali Shahin Shamsabadi, Brij Mohan Lal Srivastava, Aurélien Bellet, Nathalie Vauquier, Emmanuel Vincent, Mohamed Maouche, Marc Tommasi, Nicolas Papernot:
Differentially Private Speaker Anonymization. Proc. Priv. Enhancing Technol. 2023(1): 98-114 (2023) - [c39]Batiste Le Bars, Aurélien Bellet, Marc Tommasi, Erick Lavoie, Anne-Marie Kermarrec:
Refined Convergence and Topology Learning for Decentralized SGD with Heterogeneous Data. AISTATS 2023: 1672-1702 - [c38]Paul Mangold, Aurélien Bellet, Joseph Salmon, Marc Tommasi:
High-Dimensional Private Empirical Risk Minimization by Greedy Coordinate Descent. AISTATS 2023: 4894-4916 - [c37]Paul Mangold, Michaël Perrot, Aurélien Bellet, Marc Tommasi:
Differential Privacy has Bounded Impact on Fairness in Classification. ICML 2023: 23681-23705 - [i21]Batiste Le Bars, Aurélien Bellet, Marc Tommasi:
Improved Stability and Generalization Analysis of the Decentralized SGD Algorithm. CoRR abs/2306.02939 (2023) - [i20]Clément Pierquin, Aurélien Bellet, Marc Tommasi, Matthieu Boussard:
Rényi Pufferfish Privacy: General Additive Noise Mechanisms and Privacy Amplification by Iteration. CoRR abs/2312.13985 (2023) - 2022
- [j6]Brij Mohan Lal Srivastava
, Mohamed Maouche, Md. Sahidullah, Emmanuel Vincent, Aurélien Bellet, Marc Tommasi, Natalia A. Tomashenko, Xin Wang, Junichi Yamagishi:
Privacy and Utility of X-Vector Based Speaker Anonymization. IEEE ACM Trans. Audio Speech Lang. Process. 30: 2383-2395 (2022) - [j5]Mahsa Asadi, Aurélien Bellet, Odalric-Ambrym Maillard, Marc Tommasi:
Collaborative Algorithms for Online Personalized Mean Estimation. Trans. Mach. Learn. Res. 2022 (2022) - [c34]Paul Mangold, Aurélien Bellet, Joseph Salmon, Marc Tommasi:
Differentially Private Coordinate Descent for Composite Empirical Risk Minimization. ICML 2022: 14948-14978 - [c33]Mohamed Maouche, Brij Mohan Lal Srivastava, Nathalie Vauquier, Aurélien Bellet, Marc Tommasi, Emmanuel Vincent:
Enhancing Speech Privacy with Slicing. INTERSPEECH 2022: 5025-5029 - [c32]Jean Ogier du Terrail, Samy-Safwan Ayed, Edwige Cyffers, Felix Grimberg, Chaoyang He, Regis Loeb, Paul Mangold, Tanguy Marchand, Othmane Marfoq, Erum Mushtaq, Boris Muzellec, Constantin Philippenko, Santiago Silva, Maria Telenczuk, Shadi Albarqouni, Salman Avestimehr, Aurélien Bellet, Aymeric Dieuleveut, Martin Jaggi, Sai Praneeth Karimireddy, Marco Lorenzi, Giovanni Neglia, Marc Tommasi, Mathieu Andreux:
FLamby: Datasets and Benchmarks for Cross-Silo Federated Learning in Realistic Healthcare Settings. NeurIPS 2022 - [i19]Ali Shahin Shamsabadi, Brij Mohan Lal Srivastava, Aurélien Bellet, Nathalie Vauquier, Emmanuel Vincent, Mohamed Maouche, Marc Tommasi, Nicolas Papernot:
Differentially Private Speaker Anonymization. CoRR abs/2202.11823 (2022) - [i18]Batiste Le Bars, Aurélien Bellet, Marc Tommasi, Anne-Marie Kermarrec:
Yes, Topology Matters in Decentralized Optimization: Refined Convergence and Topology Learning under Heterogeneous Data. CoRR abs/2204.04452 (2022) - [i17]Paul Mangold, Aurélien Bellet, Joseph Salmon, Marc Tommasi:
High-Dimensional Private Empirical Risk Minimization by Greedy Coordinate Descent. CoRR abs/2207.01560 (2022) - [i16]Mahsa Asadi, Aurélien Bellet, Odalric-Ambrym Maillard, Marc Tommasi:
Collaborative Algorithms for Online Personalized Mean Estimation. CoRR abs/2208.11530 (2022) - [i15]Jean Ogier du Terrail, Samy-Safwan Ayed, Edwige Cyffers, Felix Grimberg, Chaoyang He, Regis Loeb, Paul Mangold, Tanguy Marchand, Othmane Marfoq, Erum Mushtaq, Boris Muzellec, Constantin Philippenko, Santiago Silva, Maria Telenczuk, Shadi Albarqouni, Salman Avestimehr, Aurélien Bellet, Aymeric Dieuleveut, Martin Jaggi, Sai Praneeth Karimireddy, Marco Lorenzi, Giovanni Neglia, Marc Tommasi, Mathieu Andreux:
FLamby: Datasets and Benchmarks for Cross-Silo Federated Learning in Realistic Healthcare Settings. CoRR abs/2210.04620 (2022) - [i14]Paul Mangold, Michaël Perrot, Aurélien Bellet, Marc Tommasi:
Fairness Certificates for Differentially Private Classification. CoRR abs/2210.16242 (2022) - 2021
- [i13]Paul Mangold, Aurélien Bellet, Joseph Salmon, Marc Tommasi:
Differentially Private Coordinate Descent for Composite Empirical Risk Minimization. CoRR abs/2110.11688 (2021) - 2020
- [c30]Valentina Zantedeschi, Aurélien Bellet, Marc Tommasi:
Fully Decentralized Joint Learning of Personalized Models and Collaboration Graphs. AISTATS 2020: 864-874 - [c29]Brij Mohan Lal Srivastava, Nathalie Vauquier, Md. Sahidullah, Aurélien Bellet, Marc Tommasi, Emmanuel Vincent:
Evaluating Voice Conversion-Based Privacy Protection against Informed Attackers. ICASSP 2020: 2802-2806 - [c28]Mohamed Maouche, Brij Mohan Lal Srivastava, Nathalie Vauquier, Aurélien Bellet, Marc Tommasi, Emmanuel Vincent:
A Comparative Study of Speech Anonymization Metrics. INTERSPEECH 2020: 1708-1712 - [c27]Brij Mohan Lal Srivastava, Natalia A. Tomashenko, Xin Wang, Emmanuel Vincent, Junichi Yamagishi, Mohamed Maouche, Aurélien Bellet, Marc Tommasi:
Design Choices for X-Vector Based Speaker Anonymization. INTERSPEECH 2020: 1713-1717 - [i9]Brij Mohan Lal Srivastava, Natalia A. Tomashenko, Xin Wang, Emmanuel Vincent, Junichi Yamagishi, Mohamed Maouche, Aurélien Bellet, Marc Tommasi:
Design Choices for X-vector Based Speaker Anonymization. CoRR abs/2005.08601 (2020) - 2019
- [c26]Brij Mohan Lal Srivastava, Aurélien Bellet, Marc Tommasi, Emmanuel Vincent:
Privacy-Preserving Adversarial Representation Learning in ASR: Reality or Illusion? INTERSPEECH 2019: 3700-3704 - [i8]Valentina Zantedeschi, Aurélien Bellet, Marc Tommasi:
Communication-Efficient and Decentralized Multi-Task Boosting while Learning the Collaboration Graph. CoRR abs/1901.08460 (2019) - [i7]Brij Mohan Lal Srivastava, Nathalie Vauquier, Md. Sahidullah, Aurélien Bellet, Marc Tommasi, Emmanuel Vincent:
Evaluating Voice Conversion-based Privacy Protection against Informed Attackers. CoRR abs/1911.03934 (2019) - [i6]Brij Mohan Lal Srivastava, Aurélien Bellet, Marc Tommasi, Emmanuel Vincent:
Privacy-Preserving Adversarial Representation Learning in ASR: Reality or Illusion? CoRR abs/1911.04913 (2019) - 2018
- [c25]Aurélien Bellet, Rachid Guerraoui, Mahsa Taziki, Marc Tommasi:
Personalized and Private Peer-to-Peer Machine Learning. AISTATS 2018: 473-481 - 2017
- [c24]Paul Vanhaesebrouck, Aurélien Bellet, Marc Tommasi:
Decentralized Collaborative Learning of Personalized Models over Networks. AISTATS 2017: 509-517 - [i5]Aurélien Bellet, Rachid Guerraoui, Mahsa Taziki, Marc Tommasi:
Fast and Differentially Private Algorithms for Decentralized Collaborative Machine Learning. CoRR abs/1705.08435 (2017) - 2016
- [i4]Paul Vanhaesebrouck, Aurélien Bellet, Marc Tommasi:
Decentralized Collaborative Learning of Personalized Models over Networks. CoRR abs/1610.05202 (2016)
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