| 2026 | ACL | Adaptive Text Anonymization: Learning Privacy-Utility Trade-offs via Prompt Optimization. | Gabriel Loiseau, Damien Sileo, Damien Riquet, Maxime Meyer, Marc Tommasi |
| 2025 | EMNLP | Tau-Eval: A Unified Evaluation Framework for Useful and Private Text Anonymization. | Gabriel Loiseau, Damien Sileo, Damien Riquet, Maxime Meyer, Marc Tommasi |
| 2025 | ICASSP | Analysis of Speech Temporal Dynamics in the Context of Speaker Verification and Voice Anonymization. | Natalia A. Tomashenko, Emmanuel Vincent, Marc Tommasi |
| 2025 | ICML | Privacy Amplification Through Synthetic Data: Insights from Linear Regression. | Clment Pierquin, Aurlien Bellet, Marc Tommasi, Matthieu Boussard |
| 2025 | Interspeech | Exploiting Context-dependent Duration Features for Voice Anonymization Attack Systems. | Natalia A. Tomashenko, Emmanuel Vincent, Marc Tommasi |
| 2024 | ICML | Improved Stability and Generalization Guarantees of the Decentralized SGD Algorithm. | Batiste Le Bars, Aurlien Bellet, Marc Tommasi, Kevin Scaman, Giovanni Neglia |
| 2024 | ICML | Rnyi Pufferfish Privacy: General Additive Noise Mechanisms and Privacy Amplification by Iteration via Shift Reduction Lemmas. | Clment Pierquin, Aurlien Bellet, Marc Tommasi, Matthieu Boussard |
| 2023 | AISTATS | Refined Convergence and Topology Learning for Decentralized SGD with Heterogeneous Data. | Batiste Le Bars, Aurlien Bellet, Marc Tommasi, Erick Lavoie, Anne-Marie Kermarrec |
| 2023 | AISTATS | High-Dimensional Private Empirical Risk Minimization by Greedy Coordinate Descent. | Paul Mangold, Aurlien Bellet, Joseph Salmon, Marc Tommasi |
| 2023 | ICML | Differential Privacy has Bounded Impact on Fairness in Classification. | Paul Mangold, Michal Perrot, Aurlien Bellet, Marc Tommasi |
| 2022 | ICASSP | Retrieving Speaker Information from Personalized Acoustic Models for Speech Recognition. | Salima Mdhaffar, Jean-Franois Bonastre, Marc Tommasi, Natalia A. Tomashenko, Yannick Estve |
| 2022 | ICASSP | Privacy Attacks for Automatic Speech Recognition Acoustic Models in A Federated Learning Framework. | Natalia A. Tomashenko, Salima Mdhaffar, Marc Tommasi, Yannick Estve, Jean-Franois Bonastre |
| 2022 | ICML | Differentially Private Coordinate Descent for Composite Empirical Risk Minimization. | Paul Mangold, Aurlien Bellet, Joseph Salmon, Marc Tommasi |
| 2022 | Interspeech | Enhancing Speech Privacy with Slicing. | Mohamed Maouche, Brij Mohan Lal Srivastava, Nathalie Vauquier, Aurlien Bellet, Marc Tommasi, Emmanuel Vincent |
| 2020 | AISTATS | Fully Decentralized Joint Learning of Personalized Models and Collaboration Graphs. | Valentina Zantedeschi, Aurlien Bellet, Marc Tommasi |
| 2020 | ICASSP | Evaluating Voice Conversion-Based Privacy Protection against Informed Attackers. | Brij Mohan Lal Srivastava, Nathalie Vauquier, Md. Sahidullah, Aurlien Bellet, Marc Tommasi, Emmanuel Vincent |
| 2020 | Interspeech | A Comparative Study of Speech Anonymization Metrics. | Mohamed Maouche, Brij Mohan Lal Srivastava, Nathalie Vauquier, Aurlien Bellet, Marc Tommasi, Emmanuel Vincent |
| 2020 | Interspeech | Design Choices for X-Vector Based Speaker Anonymization. | Brij Mohan Lal Srivastava, Natalia A. Tomashenko, Xin Wang, Emmanuel Vincent, Junichi Yamagishi, Mohamed Maouche, Aurlien Bellet, Marc Tommasi |
| 2019 | Interspeech | Privacy-Preserving Adversarial Representation Learning in ASR: Reality or Illusion? | Brij Mohan Lal Srivastava, Aurlien Bellet, Marc Tommasi, Emmanuel Vincent |
| 2018 | AISTATS | Personalized and Private Peer-to-Peer Machine Learning. | Aurlien Bellet, Rachid Guerraoui, Mahsa Taziki, Marc Tommasi |
| 2017 | AISTATS | Decentralized Collaborative Learning of Personalized Models over Networks. | Paul Vanhaesebrouck, Aurlien Bellet, Marc Tommasi |
| 2014 | LATA | Learning Sequential Tree-to-Word Transducers. | Grgoire Laurence, Aurlien Lemay, Joachim Niehren, Slawek Staworko, Marc Tommasi |
| 2013 | ICMLA | Learning from Multiple Graphs Using a Sigmoid Kernel. | Thomas Ricatte, Gemma C. Garriga, Rmi Gilleron, Marc Tommasi |
| 2012 | UAI | Spectral Estimation of Conditional Random Graph Models for Large-Scale Network Data. | Antonino Freno, Mikaela Keller, Gemma C. Garriga, Marc Tommasi |
| 2011 | LATA | Normalization of Sequential Top-Down Tree-to-Word Transducers. | Grgoire Laurence, Aurlien Lemay, Joachim Niehren, Slawek Staworko, Marc Tommasi |
| 2003 | DLT | Residual Finite Tree Automata. | Julien Carme, Rmi Gilleron, Aurlien Lemay, Alain Terlutte, Marc Tommasi |
| 1999 | FCT | Homomorphisms and Concurrent Term Rewriting. | Franck Seynhaeve, Sophie Tison, Marc Tommasi |
| 1993 | FOCS | Solving Systems of Set Constraints with Negated Subset Relationships | Rmi Gilleron, Sophie Tison, Marc Tommasi |
| 1993 | STACS | Solving Systems of Set Constraints using Tree Automata. | Rmi Gilleron, Sophie Tison, Marc Tommasi |