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2020 – today
- 2025
[c42]Natalia A. Tomashenko, Emmanuel Vincent, Marc Tommasi:
Analysis of Speech Temporal Dynamics in the Context of Speaker Verification and Voice Anonymization. ICASSP 2025: 1-5- [i27]Paul Andrey, Batiste Le Bars, Marc Tommasi:
TAMIS: Tailored Membership Inference Attacks on Synthetic Data. CoRR abs/2504.00758 (2025) - [i26]Clément Pierquin, Aurélien Bellet, Marc Tommasi, Matthieu Boussard:
Privacy Amplification Through Synthetic Data: Insights from Linear Regression. CoRR abs/2506.05101 (2025) - [i25]Gabriel Loiseau, Damien Sileo, Damien Riquet, Maxime Meyer, Marc Tommasi:
Tau-Eval: A Unified Evaluation Framework for Useful and Private Text Anonymization. CoRR abs/2506.05979 (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 - [i23]Gabriel Loiseau, Damien Sileo, Damien Riquet, Maxime Meyer, Marc Tommasi:
TAROT: Task-Oriented Authorship Obfuscation Using Policy Optimization Methods. CoRR abs/2407.21630 (2024) - [i22]Natalia A. Tomashenko, Emmanuel Vincent, Marc Tommasi:
Analysis of Speech Temporal Dynamics in the Context of Speaker Verification and Voice Anonymization. CoRR abs/2412.17164 (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) - [c36]Salima Mdhaffar, Jean-François Bonastre, Marc Tommasi, Natalia A. Tomashenko, Yannick Estève:
Retrieving Speaker Information from Personalized Acoustic Models for Speech Recognition. ICASSP 2022: 6767-6771 - [c35]Natalia A. Tomashenko, Salima Mdhaffar, Marc Tommasi, Yannick Estève, Jean-François Bonastre:
Privacy Attacks for Automatic Speech Recognition Acoustic Models in A Federated Learning Framework. ICASSP 2022: 6972-6976 - [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
- [c31]Salima Mdhaffar, Marc Tommasi, Yannick Estève:
Study on Acoustic Model Personalization in a Context of Collaborative Learning Constrained by Privacy Preservation. SPECOM 2021: 426-436 - [i13]Paul Mangold, Aurélien Bellet, Joseph Salmon, Marc Tommasi:
Differentially Private Coordinate Descent for Composite Empirical Risk Minimization. CoRR abs/2110.11688 (2021) - [i12]Natalia A. Tomashenko, Salima Mdhaffar, Marc Tommasi, Yannick Estève, Jean-François Bonastre:
Privacy attacks for automatic speech recognition acoustic models in a federated learning framework. CoRR abs/2111.03777 (2021) - [i11]Salima Mdhaffar, Jean-François Bonastre, Marc Tommasi, Natalia A. Tomashenko, Yannick Estève:
Retrieving Speaker Information from Personalized Acoustic Models for Speech Recognition. CoRR abs/2111.04194 (2021) - [i10]Akira Campbell, Thomas Kleinbauer, Marc Tommasi, Emmanuel Vincent:
Enabling Voice-Based Apps with European Values. ERCIM News 2021(126) (2021) - 2020
- [j4]Thomas Ricatte, Rémi Gilleron, Marc Tommasi:
Skill Rating for Multiplayer Games. Introducing Hypernode Graphs and their Spectral Theory. J. Mach. Learn. Res. 21: 48:1-48:18 (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)
2010 – 2019
- 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) - 2014
- [c23]Grégoire Laurence, Aurélien Lemay, Joachim Niehren, Slawek Staworko, Marc Tommasi:
Learning Sequential Tree-to-Word Transducers. LATA 2014: 490-502 - [c22]David Chatel, Pascal Denis, Marc Tommasi:
Fast Gaussian Pairwise Constrained Spectral Clustering. ECML/PKDD (1) 2014: 242-257 - [c21]Thomas Ricatte, Rémi Gilleron, Marc Tommasi:
Hypernode Graphs for Spectral Learning on Binary Relations over Sets. ECML/PKDD (2) 2014: 662-677 - 2013
- [c20]Thomas Ricatte, Gemma C. Garriga, Rémi Gilleron, Marc Tommasi:
Learning from Multiple Graphs Using a Sigmoid Kernel. ICMLA (2) 2013: 140-145 - 2012
- [c19]Antonino Freno, Mikaela Keller, Marc Tommasi:
Fiedler Random Fields: A Large-Scale Spectral Approach to Statistical Network Modeling. NIPS 2012: 1871-1879 - [c18]Antonino Freno, Mikaela Keller, Gemma C. Garriga, Marc Tommasi:
Spectral Estimation of Conditional Random Graph Models for Large-Scale Network Data. UAI 2012: 265-274 - [p1]Isabelle Tellier, Marc Tommasi:
Conditional Random Fields for Information Extraction. Textual Information Access: Statistical Models 2012: 179-220 - [i3]Antonino Freno, Mikaela Keller, Gemma C. Garriga, Marc Tommasi:
Spectral Estimation of Conditional Random Graph Models for Large-Scale Network Data. CoRR abs/1210.4860 (2012) - 2011
- [c17]Grégoire Laurence, Aurélien Lemay, Joachim Niehren, Slawek Staworko, Marc Tommasi:
Normalization of Sequential Top-Down Tree-to-Word Transducers. LATA 2011: 354-365
2000 – 2009
- 2008
- [c16]François Denis, Édouard Gilbert, Amaury Habrard, Faissal Ouardi, Marc Tommasi:
Relevant Representations for the Inference of Rational Stochastic Tree Languages. ICGI 2008: 57-70 - [c15]Pierre Senellart, Avin Mittal, Daniel Muschick, Rémi Gilleron, Marc Tommasi:
Automatic wrapper induction from hidden-web sources with domain knowledge. WIDM 2008: 9-16 - [i2]François Denis, Amaury Habrard, Rémi Gilleron, Marc Tommasi, Édouard Gilbert:
On Probability Distributions for Trees: Representations, Inference and Learning. CoRR abs/0807.2983 (2008) - 2006
- [b1]Marc Tommasi:
Structures arborescentes et apprentissage automatique. (Tree Structures and Machine Learning). Charles de Gaulle University, Lille, France, 2006 - [c14]Rémi Gilleron, Patrick Marty, Marc Tommasi, Fabien Torre:
Extraction de relations dans les documents Web. EGC 2006: 415-420 - [c13]Rémi Gilleron, Florent Jousse, Isabelle Tellier, Marc Tommasi:
XML Document Transformation with Conditional Random Fields. INEX 2006: 525-539 - [c12]Rémi Gilleron, Patrick Marty, Marc Tommasi, Fabien Torre:
Interactive Tuples Extraction from Semi-Structured Data. Web Intelligence 2006: 997-1004 - [i1]Julien Carme, Rémi Gilleron, Aurélien Lemay, Alain Terlutte, Marc Tommasi:
Residual Finite Tree Automata. CoRR abs/cs/0609015 (2006) - 2005
- [c11]Florent Jousse, Isabelle Tellier, Marc Tommasi, Patrick Marty:
Learning to Extract Answers in Question Answering: Experimental Studies. CORIA 2005: 85 - 2004
- [c10]Julien Carme, Joachim Niehren, Marc Tommasi:
Querying Unranked Trees with Stepwise Tree Automata. RTA 2004: 105-118 - 2003
- [c9]Julien Carme, Rémi Gilleron, Aurélien Lemay, Alain Terlutte, Marc Tommasi:
Residual Finite Tree Automata. Developments in Language Theory 2003: 171-182 - [c8]Francesco De Comité, Rémi Gilleron, Marc Tommasi:
Learning Multi-label Alternating Decision Trees from Texts and Data. MLDM 2003: 35-49 - 2002
- [j3]Max Dauchet, Sophie Tison, Marc Tommasi:
Reduction de la non-linearite des morphismes d'arbres Recognizable tree-languages and non-linear morphisms. Theor. Comput. Sci. 281(1-2): 219-233 (2002) - [c7]Daniela Dudau Sofronie, Isabelle Tellier, Marc Tommasi:
A Tool for Language Learning Based on Categorial Grammars and Semantic Information. ICGI 2002: 303-305 - 2001
- [j2]Franck Seynhaeve, Sophie Tison, Marc Tommasi, Ralf Treinen:
Grid structures and undecidable constraint theories. Theor. Comput. Sci. 258(1-2): 453-490 (2001)
1990 – 1999
- 1999
- [j1]Rémi Gilleron, Sophie Tison, Marc Tommasi:
Set Constraints and Automata. Inf. Comput. 149(1): 1-41 (1999) - [c6]Franck Seynhaeve, Sophie Tison, Marc Tommasi:
Homomorphisms and Concurrent Term Rewriting. FCT 1999: 475-487 - [c5]Anne-Cécile Caron, Franck Seynhaeve, Sophie Tison, Marc Tommasi:
Deciding the Satisfiability of Quantifier free Formulae on One-Step Rewriting. RTA 1999: 103-117 - 1997
- [c4]Franck Seynhaeve, Marc Tommasi, Ralf Treinen:
Grid Structure and Undecidable Constraint Theories. TAPSOFT 1997: 357-368 - 1994
- [c3]Rémi Gilleron, Sophie Tison, Marc Tommasi:
Some new Decidability Results on Positive and Negative Set Constraints. CCL 1994: 336-351 - 1993
- [c2]Rémi Gilleron, Sophie Tison, Marc Tommasi:
Solving Systems of Set Constraints with Negated Subset Relationships. FOCS 1993: 372-380 - [c1]Rémi Gilleron, Sophie Tison, Marc Tommasi:
Solving Systems of Set Constraints using Tree Automata. STACS 1993: 505-514
Coauthor Index
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