Solving Systems of Set Constraints with Negated Subset Relationships - Rémi Gilleron; Sophie Tison; Marc Tommasi (FOCS, 1993)

Solving Systems of Set Constraints using Tree Automata. - Rémi Gilleron; Sophie Tison; Marc Tommasi (STACS, 1993)

Some new Decidability Results on Positive and Negative Set Constraints. - Rémi Gilleron; Sophie Tison; Marc Tommasi (CCL, 1994)

Grid Structure and Undecidable Constraint Theories. - Franck Seynhaeve; Marc Tommasi; Ralf Treinen (TAPSOFT, 1997)

Homomorphisms and Concurrent Term Rewriting. - Franck Seynhaeve; Sophie Tison; Marc Tommasi (FCT, 1999)

Deciding the Satisfiability of Quantifier free Formulae on One-Step Rewriting. - Anne-Cécile Caron; Franck Seynhaeve; Sophie Tison; Marc Tommasi (RTA, 1999)

Set Constraints and Automata. - Rémi Gilleron; Sophie Tison; Marc Tommasi (Inf. Comput., 1999)

Grid structures and undecidable constraint theories. - Franck Seynhaeve; Sophie Tison; Marc Tommasi; Ralf Treinen (Theor. Comput. Sci., 2001)

A Tool for Language Learning Based on Categorial Grammars and Semantic Information. - Daniela Dudau Sofronie; Isabelle Tellier; Marc Tommasi (ICGI, 2002)

Reduction de la non-linearite des morphismes d'arbres Recognizable tree-languages and non-linear morphisms. - Max Dauchet; Sophie Tison; Marc Tommasi (Theor. Comput. Sci., 2002)

Residual Finite Tree Automata. - Julien Carme; Rémi Gilleron; Aurélien Lemay; Alain Terlutte; Marc Tommasi (Developments in Language Theory, 2003)

Learning Multi-label Alternating Decision Trees from Texts and Data. - Francesco De Comité; Rémi Gilleron; Marc Tommasi (MLDM, 2003)

Querying Unranked Trees with Stepwise Tree Automata. - Julien Carme; Joachim Niehren; Marc Tommasi (RTA, 2004)

Learning to Extract Answers in Question Answering: Experimental Studies. - Florent Jousse 002; Isabelle Tellier; Marc Tommasi; Patrick Marty (CORIA, 2005)

Structures arborescentes et apprentissage automatique. (Tree Structures and Machine Learning). - Marc Tommasi (2006)

Extraction de relations dans les documents Web. - Rémi Gilleron; Patrick Marty; Marc Tommasi; Fabien Torre (EGC, 2006)

XML Document Transformation with Conditional Random Fields. - Rémi Gilleron; Florent Jousse 002; Isabelle Tellier; Marc Tommasi (INEX, 2006)

Interactive Tuples Extraction from Semi-Structured Data. - Rémi Gilleron; Patrick Marty; Marc Tommasi; Fabien Torre (Web Intelligence, 2006)

Relevant Representations for the Inference of Rational Stochastic Tree Languages. - François Denis; Édouard Gilbert; Amaury Habrard; Faissal Ouardi; Marc Tommasi (ICGI, 2008)

Automatic wrapper induction from hidden-web sources with domain knowledge. - Pierre Senellart; Avin Mittal; Daniel Muschick; Rémi Gilleron; Marc Tommasi (WIDM, 2008)

On Probability Distributions for Trees: Representations, Inference and Learning - François Denis; Amaury Habrard; Rémi Gilleron; Marc Tommasi; Édouard Gilbert (CoRR, 2008)

Normalization of Sequential Top-Down Tree-to-Word Transducers. - Grégoire Laurence; Aurélien Lemay; Joachim Niehren; Slawek Staworko; Marc Tommasi (LATA, 2011)

Conditional Random Fields for Information Extraction. - Isabelle Tellier; Marc Tommasi (Textual Information Access: Statistical Models, 2012)

Fiedler Random Fields: A Large-Scale Spectral Approach to Statistical Network Modeling. - Antonino Freno; Mikaela Keller; Marc Tommasi (NIPS, 2012)

Spectral Estimation of Conditional Random Graph Models for Large-Scale Network Data. - Antonino Freno; Mikaela Keller; Gemma C. Garriga; Marc Tommasi (UAI, 2012)

Learning from Multiple Graphs Using a Sigmoid Kernel. - Thomas Ricatte; Gemma C. Garriga; Rémi Gilleron; Marc Tommasi (ICMLA (2), 2013)

Learning Sequential Tree-to-Word Transducers. - Grégoire Laurence; Aurélien Lemay; Joachim Niehren; Slawek Staworko; Marc Tommasi (LATA, 2014)

Fast Gaussian Pairwise Constrained Spectral Clustering. - David Chatel; Pascal Denis; Marc Tommasi (ECML/PKDD (1), 2014)

Hypernode Graphs for Spectral Learning on Binary Relations over Sets. - Thomas Ricatte; Rémi Gilleron; Marc Tommasi (ECML/PKDD (2), 2014)

Decentralized Collaborative Learning of Personalized Models over Networks. - Paul Vanhaesebrouck; Aurélien Bellet; Marc Tommasi (AISTATS, 2017)

Fast and Differentially Private Algorithms for Decentralized Collaborative Machine Learning. - Aurélien Bellet; Rachid Guerraoui; Mahsa Taziki; Marc Tommasi (CoRR, 2017)

Personalized and Private Peer-to-Peer Machine Learning. - Aurélien Bellet; Rachid Guerraoui; Mahsa Taziki; Marc Tommasi (AISTATS, 2018)

Privacy-Preserving Adversarial Representation Learning in ASR: Reality or Illusion? - Brij Mohan Lal Srivastava; Aurélien Bellet; Marc Tommasi; Emmanuel Vincent 001 (INTERSPEECH, 2019)

Communication-Efficient and Decentralized Multi-Task Boosting while Learning the Collaboration Graph. - Valentina Zantedeschi; Aurélien Bellet; Marc Tommasi (CoRR, 2019)

Fully Decentralized Joint Learning of Personalized Models and Collaboration Graphs. - Valentina Zantedeschi; Aurélien Bellet; Marc Tommasi (AISTATS, 2020)

Evaluating Voice Conversion-Based Privacy Protection against Informed Attackers. - Brij Mohan Lal Srivastava; Nathalie Vauquier; Md. Sahidullah; Aurélien Bellet; Marc Tommasi; Emmanuel Vincent 001 (ICASSP, 2020)

A Comparative Study of Speech Anonymization Metrics. - Mohamed Maouche; Brij Mohan Lal Srivastava; Nathalie Vauquier; Aurélien Bellet; Marc Tommasi; Emmanuel Vincent 001 (INTERSPEECH, 2020)

Design Choices for X-Vector Based Speaker Anonymization. - Brij Mohan Lal Srivastava; Natalia A. Tomashenko; Xin Wang 037; Emmanuel Vincent 001; Junichi Yamagishi; Mohamed Maouche; Aurélien Bellet; Marc Tommasi (INTERSPEECH, 2020)

Skill Rating for Multiplayer Games. Introducing Hypernode Graphs and their Spectral Theory. - Thomas Ricatte; Rémi Gilleron; Marc Tommasi (J. Mach. Learn. Res., 2020)

Study on Acoustic Model Personalization in a Context of Collaborative Learning Constrained by Privacy Preservation. - Salima Mdhaffar; Marc Tommasi; Yannick Estève (SPECOM, 2021)

Enabling Voice-Based Apps with European Values. - Akira Campbell; Thomas Kleinbauer; Marc Tommasi; Emmanuel Vincent 001 (ERCIM News, 2021)

Retrieving Speaker Information from Personalized Acoustic Models for Speech Recognition. - Salima Mdhaffar; Jean-François Bonastre; Marc Tommasi; Natalia A. Tomashenko; Yannick Estève (ICASSP, 2022)

Privacy Attacks for Automatic Speech Recognition Acoustic Models in A Federated Learning Framework. - Natalia A. Tomashenko; Salima Mdhaffar; Marc Tommasi; Yannick Estève; Jean-François Bonastre (ICASSP, 2022)

Differentially Private Coordinate Descent for Composite Empirical Risk Minimization. - Paul Mangold; Aurélien Bellet; Joseph Salmon; Marc Tommasi (ICML, 2022)

Enhancing Speech Privacy with Slicing. - Mohamed Maouche; Brij Mohan Lal Srivastava; Nathalie Vauquier; Aurélien Bellet; Marc Tommasi; Emmanuel Vincent 001 (INTERSPEECH, 2022)

FLamby: Datasets and Benchmarks for Cross-Silo Federated Learning in Realistic Healthcare Settings. - Jean Ogier du Terrail; Samy-Safwan Ayed; Edwige Cyffers; Felix Grimberg; Chaoyang He 001; Regis Loeb; Paul Mangold; Tanguy Marchand; Othmane Marfoq; Erum Mushtaq; Boris Muzellec; Constantin Philippenko; et al. (NeurIPS, 2022)

Yes, Topology Matters in Decentralized Optimization: Refined Convergence and Topology Learning under Heterogeneous Data. - Batiste Le Bars; Aurélien Bellet; Marc Tommasi; Anne-Marie Kermarrec (CoRR, 2022)

Fairness Certificates for Differentially Private Classification. - Paul Mangold; Michaël Perrot; Aurélien Bellet; Marc Tommasi (CoRR, 2022)

Privacy and Utility of X-Vector Based Speaker Anonymization. - Brij Mohan Lal Srivastava; Mohamed Maouche; Md. Sahidullah; Emmanuel Vincent 001; Aurélien Bellet; Marc Tommasi; Natalia A. Tomashenko; Xin Wang 037; Junichi Yamagishi (IEEE ACM Trans. Audio Speech Lang. Process., 2022)

Collaborative Algorithms for Online Personalized Mean Estimation. - Mahsa Asadi; Aurélien Bellet; Odalric-Ambrym Maillard; Marc Tommasi (Trans. Mach. Learn. Res., 2022)

Refined Convergence and Topology Learning for Decentralized SGD with Heterogeneous Data. - Batiste Le Bars; Aurélien Bellet; Marc Tommasi; Erick Lavoie; Anne-Marie Kermarrec (AISTATS, 2023)

High-Dimensional Private Empirical Risk Minimization by Greedy Coordinate Descent. - Paul Mangold; Aurélien Bellet; Joseph Salmon; Marc Tommasi (AISTATS, 2023)

Differential Privacy has Bounded Impact on Fairness in Classification. - Paul Mangold; Michaël Perrot; Aurélien Bellet; Marc Tommasi (ICML, 2023)

Improved Stability and Generalization Analysis of the Decentralized SGD Algorithm. - Batiste Le Bars; Aurélien Bellet; Marc Tommasi (CoRR, 2023)

Rényi Pufferfish Privacy: General Additive Noise Mechanisms and Privacy Amplification by Iteration. - Clément Pierquin; Aurélien Bellet; Marc Tommasi; Matthieu Boussard (CoRR, 2023)

Differentially Private Speaker Anonymization. - Ali Shahin Shamsabadi; Brij Mohan Lal Srivastava; Aurélien Bellet; Nathalie Vauquier; Emmanuel Vincent 001; Mohamed Maouche; Marc Tommasi; Nicolas Papernot (Proc. Priv. Enhancing Technol., 2023)

Improved Stability and Generalization Guarantees of the Decentralized SGD Algorithm. - Batiste Le Bars; Aurélien Bellet; Marc Tommasi; Kevin Scaman; Giovanni Neglia (ICML, 2024)

Rényi Pufferfish Privacy: General Additive Noise Mechanisms and Privacy Amplification by Iteration via Shift Reduction Lemmas. - Clément Pierquin; Aurélien Bellet; Marc Tommasi; Matthieu Boussard (ICML, 2024)

TAROT: Task-Oriented Authorship Obfuscation Using Policy Optimization Methods. - Gabriel Loiseau; Damien Sileo; Damien Riquet; Maxime Meyer; Marc Tommasi (CoRR, 2024)

Analysis of Speech Temporal Dynamics in the Context of Speaker Verification and Voice Anonymization. - Natalia A. Tomashenko; Emmanuel Vincent 001; Marc Tommasi (ICASSP, 2025)

TAMIS: Tailored Membership Inference Attacks on Synthetic Data. - Paul Andrey; Batiste Le Bars; Marc Tommasi (CoRR, 2025)

Privacy Amplification Through Synthetic Data: Insights from Linear Regression. - Clément Pierquin; Aurélien Bellet; Marc Tommasi; Matthieu Boussard (CoRR, 2025)

Tau-Eval: A Unified Evaluation Framework for Useful and Private Text Anonymization. - Gabriel Loiseau; Damien Sileo; Damien Riquet; Maxime Meyer; Marc Tommasi (CoRR, 2025)

Federated Learning for MRI-based BrainAGE: a multicenter study on post-stroke functional outcome prediction. - Vincent Roca; Marc Tommasi; Paul Andrey; Aurélien Bellet; Markus D. Schirmer; Hilde Henon; Laurent Puy; Julien Ramon; Grégory Kuchcinski; Martin Bretzner; Renaud Lopes (CoRR, 2025)

Exploiting Context-dependent Duration Features for Voice Anonymization Attack Systems. - Natalia A. Tomashenko; Emmanuel Vincent 001; Marc Tommasi (CoRR, 2025)