Marc Tommasi - RankMe

87 papers A* 7A 12B 1C 3Misc 4Journal 39Unranked 19

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Adaptive Text Anonymization: Learning Privacy-Utility Trade-offs via Prompt Optimization. CoRR Gabriel Loiseau, Damien Sileo, Damien Riquet, Maxime Meyer, Marc Tommasi
2026	J	`jnl`	Distilling Human-Aligned Privacy Sensitivity Assessment from Large Language Models. CoRR Gabriel Loiseau, Damien Sileo, Damien Riquet, Maxime Meyer, Marc Tommasi
2026	J	`jnl`	Learning with Locally Private Examples by Inverse Weierstrass Private Stochastic Gradient Descent. CoRR Jean Dufraiche, Paul Mangold, Michaël Perrot, Marc Tommasi
2026	J	`jnl`	Privacy Amplification Persists under Unlimited Synthetic Data Release. CoRR Clément Pierquin, Aurélien Bellet, Marc Tommasi, Matthieu Boussard
2025	Misc	`conf`	Analysis of Speech Temporal Dynamics in the Context of Speaker Verification and Voice Anonymization. ICASSP Natalia A. Tomashenko, Emmanuel Vincent, Marc Tommasi
2025	A	`conf`	Exploiting Context-dependent Duration Features for Voice Anonymization Attack Systems. INTERSPEECH Natalia A. Tomashenko, Emmanuel Vincent, Marc Tommasi
2025	J	`jnl`	Exploiting Context-dependent Duration Features for Voice Anonymization Attack Systems. CoRR Natalia A. Tomashenko, Emmanuel Vincent, Marc Tommasi
2025	J	`jnl`	Federated Learning for MRI-based BrainAGE: a multicenter study on post-stroke functional outcome prediction. CoRR Vincent Roca, Marc Tommasi, Paul Andrey, Aurélien Bellet, Markus D. Schirmer, Hilde Henon, Laurent Puy, Julien Ramon, Grégory Kuchcinski, Martin Bretzner, Renaud Lopes
2025	A*	`conf`	Privacy Amplification Through Synthetic Data: Insights from Linear Regression. ICML Clément Pierquin, Aurélien Bellet, Marc Tommasi, Matthieu Boussard
2025	J	`jnl`	Privacy Amplification Through Synthetic Data: Insights from Linear Regression. CoRR Clément Pierquin, Aurélien Bellet, Marc Tommasi, Matthieu Boussard
2025	—	`conf`	TAMIS: Tailored Membership Inference Attacks on Synthetic Data. ECML/PKDD (5) Paul Andrey, Batiste Le Bars, Marc Tommasi
2025	J	`jnl`	TAMIS: Tailored Membership Inference Attacks on Synthetic Data. CoRR Paul Andrey, Batiste Le Bars, Marc Tommasi
2025	—	`conf`	Tau-Eval: A Unified Evaluation Framework for Useful and Private Text Anonymization. EMNLP (System Demonstrations) Gabriel Loiseau, Damien Sileo, Damien Riquet, Maxime Meyer, Marc Tommasi
2025	J	`jnl`	Tau-Eval: A Unified Evaluation Framework for Useful and Private Text Anonymization. CoRR Gabriel Loiseau, Damien Sileo, Damien Riquet, Maxime Meyer, Marc Tommasi
2024	J	`jnl`	Analysis of Speech Temporal Dynamics in the Context of Speaker Verification and Voice Anonymization. CoRR Natalia A. Tomashenko, Emmanuel Vincent, Marc Tommasi
2024	A*	`conf`	Improved Stability and Generalization Guarantees of the Decentralized SGD Algorithm. ICML Batiste Le Bars, Aurélien Bellet, Marc Tommasi, Kevin Scaman, Giovanni Neglia
2024	A*	`conf`	Rényi Pufferfish Privacy: General Additive Noise Mechanisms and Privacy Amplification by Iteration via Shift Reduction Lemmas. ICML Clément Pierquin, Aurélien Bellet, Marc Tommasi, Matthieu Boussard
2024	J	`jnl`	TAROT: Task-Oriented Authorship Obfuscation Using Policy Optimization Methods. CoRR Gabriel Loiseau, Damien Sileo, Damien Riquet, Maxime Meyer, Marc Tommasi
2023	A*	`conf`	Differential Privacy has Bounded Impact on Fairness in Classification. ICML Paul Mangold, Michaël Perrot, Aurélien Bellet, Marc Tommasi
2023	J	`jnl`	Differentially Private Speaker Anonymization. Proc. Priv. Enhancing Technol. Ali Shahin Shamsabadi, Brij Mohan Lal Srivastava, Aurélien Bellet, Nathalie Vauquier, Emmanuel Vincent, Mohamed Maouche, Marc Tommasi, Nicolas Papernot
2023	A	`conf`	High-Dimensional Private Empirical Risk Minimization by Greedy Coordinate Descent. AISTATS Paul Mangold, Aurélien Bellet, Joseph Salmon, Marc Tommasi
2023	J	`jnl`	Improved Stability and Generalization Analysis of the Decentralized SGD Algorithm. CoRR Batiste Le Bars, Aurélien Bellet, Marc Tommasi
2023	A	`conf`	Refined Convergence and Topology Learning for Decentralized SGD with Heterogeneous Data. AISTATS Batiste Le Bars, Aurélien Bellet, Marc Tommasi, Erick Lavoie, Anne-Marie Kermarrec
2023	J	`jnl`	Rényi Pufferfish Privacy: General Additive Noise Mechanisms and Privacy Amplification by Iteration. CoRR Clément Pierquin, Aurélien Bellet, Marc Tommasi, Matthieu Boussard
2022	J	`jnl`	Collaborative Algorithms for Online Personalized Mean Estimation. CoRR Mahsa Asadi, Aurélien Bellet, Odalric-Ambrym Maillard, Marc Tommasi
2022	J	`jnl`	Collaborative Algorithms for Online Personalized Mean Estimation. Trans. Mach. Learn. Res. Mahsa Asadi, Aurélien Bellet, Odalric-Ambrym Maillard, Marc Tommasi
2022	A*	`conf`	Differentially Private Coordinate Descent for Composite Empirical Risk Minimization. ICML Paul Mangold, Aurélien Bellet, Joseph Salmon, Marc Tommasi
2022	J	`jnl`	Differentially Private Speaker Anonymization. CoRR Ali Shahin Shamsabadi, Brij Mohan Lal Srivastava, Aurélien Bellet, Nathalie Vauquier, Emmanuel Vincent, Mohamed Maouche, Marc Tommasi, Nicolas Papernot
2022	A	`conf`	Enhancing Speech Privacy with Slicing. INTERSPEECH Mohamed Maouche, Brij Mohan Lal Srivastava, Nathalie Vauquier, Aurélien Bellet, Marc Tommasi, Emmanuel Vincent
2022	A*	`conf`	FLamby: Datasets and Benchmarks for Cross-Silo Federated Learning in Realistic Healthcare Settings. NeurIPS 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
2022	J	`jnl`	FLamby: Datasets and Benchmarks for Cross-Silo Federated Learning in Realistic Healthcare Settings. CoRR 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
2022	J	`jnl`	Fairness Certificates for Differentially Private Classification. CoRR Paul Mangold, Michaël Perrot, Aurélien Bellet, Marc Tommasi
2022	J	`jnl`	High-Dimensional Private Empirical Risk Minimization by Greedy Coordinate Descent. CoRR Paul Mangold, Aurélien Bellet, Joseph Salmon, Marc Tommasi
2022	Misc	`conf`	Privacy Attacks for Automatic Speech Recognition Acoustic Models in A Federated Learning Framework. ICASSP Natalia A. Tomashenko, Salima Mdhaffar, Marc Tommasi, Yannick Estève, Jean-François Bonastre
2022	J	`jnl`	Privacy and Utility of X-Vector Based Speaker Anonymization. IEEE ACM Trans. Audio Speech Lang. Process. Brij Mohan Lal Srivastava, Mohamed Maouche, Md. Sahidullah, Emmanuel Vincent, Aurélien Bellet, Marc Tommasi, Natalia A. Tomashenko, Xin Wang, Junichi Yamagishi
2022	Misc	`conf`	Retrieving Speaker Information from Personalized Acoustic Models for Speech Recognition. ICASSP Salima Mdhaffar, Jean-François Bonastre, Marc Tommasi, Natalia A. Tomashenko, Yannick Estève
2022	J	`jnl`	Yes, Topology Matters in Decentralized Optimization: Refined Convergence and Topology Learning under Heterogeneous Data. CoRR Batiste Le Bars, Aurélien Bellet, Marc Tommasi, Anne-Marie Kermarrec
2021	J	`jnl`	Differentially Private Coordinate Descent for Composite Empirical Risk Minimization. CoRR Paul Mangold, Aurélien Bellet, Joseph Salmon, Marc Tommasi
2021	J	`jnl`	Enabling Voice-Based Apps with European Values. ERCIM News Akira Campbell, Thomas Kleinbauer, Marc Tommasi, Emmanuel Vincent
2021	J	`jnl`	Privacy attacks for automatic speech recognition acoustic models in a federated learning framework. CoRR Natalia A. Tomashenko, Salima Mdhaffar, Marc Tommasi, Yannick Estève, Jean-François Bonastre
2021	J	`jnl`	Retrieving Speaker Information from Personalized Acoustic Models for Speech Recognition. CoRR Salima Mdhaffar, Jean-François Bonastre, Marc Tommasi, Natalia A. Tomashenko, Yannick Estève
2021	—	`conf`	Study on Acoustic Model Personalization in a Context of Collaborative Learning Constrained by Privacy Preservation. SPECOM Salima Mdhaffar, Marc Tommasi, Yannick Estève
2020	A	`conf`	A Comparative Study of Speech Anonymization Metrics. INTERSPEECH Mohamed Maouche, Brij Mohan Lal Srivastava, Nathalie Vauquier, Aurélien Bellet, Marc Tommasi, Emmanuel Vincent
2020	A	`conf`	Design Choices for X-Vector Based Speaker Anonymization. INTERSPEECH Brij Mohan Lal Srivastava, Natalia A. Tomashenko, Xin Wang, Emmanuel Vincent, Junichi Yamagishi, Mohamed Maouche, Aurélien Bellet, Marc Tommasi
2020	J	`jnl`	Design Choices for X-vector Based Speaker Anonymization. CoRR Brij Mohan Lal Srivastava, Natalia A. Tomashenko, Xin Wang, Emmanuel Vincent, Junichi Yamagishi, Mohamed Maouche, Aurélien Bellet, Marc Tommasi
2020	Misc	`conf`	Evaluating Voice Conversion-Based Privacy Protection against Informed Attackers. ICASSP Brij Mohan Lal Srivastava, Nathalie Vauquier, Md. Sahidullah, Aurélien Bellet, Marc Tommasi, Emmanuel Vincent
2020	A	`conf`	Fully Decentralized Joint Learning of Personalized Models and Collaboration Graphs. AISTATS Valentina Zantedeschi, Aurélien Bellet, Marc Tommasi
2020	J	`jnl`	Skill Rating for Multiplayer Games. Introducing Hypernode Graphs and their Spectral Theory. J. Mach. Learn. Res. Thomas Ricatte, Rémi Gilleron, Marc Tommasi
2019	J	`jnl`	Communication-Efficient and Decentralized Multi-Task Boosting while Learning the Collaboration Graph. CoRR Valentina Zantedeschi, Aurélien Bellet, Marc Tommasi
2019	J	`jnl`	Evaluating Voice Conversion-based Privacy Protection against Informed Attackers. CoRR Brij Mohan Lal Srivastava, Nathalie Vauquier, Md. Sahidullah, Aurélien Bellet, Marc Tommasi, Emmanuel Vincent
2019	A	`conf`	Privacy-Preserving Adversarial Representation Learning in ASR: Reality or Illusion? INTERSPEECH Brij Mohan Lal Srivastava, Aurélien Bellet, Marc Tommasi, Emmanuel Vincent
2019	J	`jnl`	Privacy-Preserving Adversarial Representation Learning in ASR: Reality or Illusion? CoRR Brij Mohan Lal Srivastava, Aurélien Bellet, Marc Tommasi, Emmanuel Vincent
2018	A	`conf`	Personalized and Private Peer-to-Peer Machine Learning. AISTATS Aurélien Bellet, Rachid Guerraoui, Mahsa Taziki, Marc Tommasi
2017	A	`conf`	Decentralized Collaborative Learning of Personalized Models over Networks. AISTATS Paul Vanhaesebrouck, Aurélien Bellet, Marc Tommasi
2017	J	`jnl`	Fast and Differentially Private Algorithms for Decentralized Collaborative Machine Learning. CoRR Aurélien Bellet, Rachid Guerraoui, Mahsa Taziki, Marc Tommasi
2016	J	`jnl`	Decentralized Collaborative Learning of Personalized Models over Networks. CoRR Paul Vanhaesebrouck, Aurélien Bellet, Marc Tommasi
2014	—	`conf`	Fast Gaussian Pairwise Constrained Spectral Clustering. ECML/PKDD (1) David Chatel, Pascal Denis, Marc Tommasi
2014	—	`conf`	Hypernode Graphs for Spectral Learning on Binary Relations over Sets. ECML/PKDD (2) Thomas Ricatte, Rémi Gilleron, Marc Tommasi
2014	C	`conf`	Learning Sequential Tree-to-Word Transducers. LATA Grégoire Laurence, Aurélien Lemay, Joachim Niehren, Slawek Staworko, Marc Tommasi
2013	—	`conf`	Learning from Multiple Graphs Using a Sigmoid Kernel. ICMLA (2) Thomas Ricatte, Gemma C. Garriga, Rémi Gilleron, Marc Tommasi
2012	—	`ch.`	Conditional Random Fields for Information Extraction. Textual Information Access: Statistical Models Isabelle Tellier, Marc Tommasi
2012	—	`conf`	Fiedler Random Fields: A Large-Scale Spectral Approach to Statistical Network Modeling. NIPS Antonino Freno, Mikaela Keller, Marc Tommasi
2012	J	`jnl`	Spectral Estimation of Conditional Random Graph Models for Large-Scale Network Data CoRR Antonino Freno, Mikaela Keller, Gemma C. Garriga, Marc Tommasi
2012	A	`conf`	Spectral Estimation of Conditional Random Graph Models for Large-Scale Network Data. UAI Antonino Freno, Mikaela Keller, Gemma C. Garriga, Marc Tommasi
2011	C	`conf`	Normalization of Sequential Top-Down Tree-to-Word Transducers. LATA Grégoire Laurence, Aurélien Lemay, Joachim Niehren, Slawek Staworko, Marc Tommasi
2008	—	`conf`	Automatic wrapper induction from hidden-web sources with domain knowledge. WIDM Pierre Senellart, Avin Mittal, Daniel Muschick, Rémi Gilleron, Marc Tommasi
2008	J	`jnl`	On Probability Distributions for Trees: Representations, Inference and Learning CoRR François Denis, Amaury Habrard, Rémi Gilleron, Marc Tommasi, Édouard Gilbert
2008	—	`conf`	Relevant Representations for the Inference of Rational Stochastic Tree Languages. ICGI François Denis, Édouard Gilbert, Amaury Habrard, Faissal Ouardi, Marc Tommasi
2006	—	`conf`	Extraction de relations dans les documents Web. EGC Rémi Gilleron, Patrick Marty, Marc Tommasi, Fabien Torre
2006	—	`conf`	Interactive Tuples Extraction from Semi-Structured Data. Web Intelligence Rémi Gilleron, Patrick Marty, Marc Tommasi, Fabien Torre
2006	J	`jnl`	Residual Finite Tree Automata CoRR Julien Carme, Rémi Gilleron, Aurélien Lemay, Alain Terlutte, Marc Tommasi
2006	—	`book`	Structures arborescentes et apprentissage automatique. (Tree Structures and Machine Learning). Marc Tommasi
2006	—	`conf`	XML Document Transformation with Conditional Random Fields. INEX Rémi Gilleron, Florent Jousse, Isabelle Tellier, Marc Tommasi
2005	—	`conf`	Learning to Extract Answers in Question Answering: Experimental Studies. CORIA Florent Jousse, Isabelle Tellier, Marc Tommasi, Patrick Marty
2004	—	`conf`	Querying Unranked Trees with Stepwise Tree Automata. RTA Julien Carme, Joachim Niehren, Marc Tommasi
2003	—	`conf`	Learning Multi-label Alternating Decision Trees from Texts and Data. MLDM Francesco De Comité, Rémi Gilleron, Marc Tommasi
2003	C	`conf`	Residual Finite Tree Automata. Developments in Language Theory Julien Carme, Rémi Gilleron, Aurélien Lemay, Alain Terlutte, Marc Tommasi
2002	—	`conf`	A Tool for Language Learning Based on Categorial Grammars and Semantic Information. ICGI Daniela Dudau Sofronie, Isabelle Tellier, Marc Tommasi
2002	J	`jnl`	Reduction de la non-linearite des morphismes d'arbres Recognizable tree-languages and non-linear morphisms. Theor. Comput. Sci. Max Dauchet, Sophie Tison, Marc Tommasi
2001	J	`jnl`	Grid structures and undecidable constraint theories. Theor. Comput. Sci. Franck Seynhaeve, Sophie Tison, Marc Tommasi, Ralf Treinen
1999	—	`conf`	Deciding the Satisfiability of Quantifier free Formulae on One-Step Rewriting. RTA Anne-Cécile Caron, Franck Seynhaeve, Sophie Tison, Marc Tommasi
1999	B	`conf`	Homomorphisms and Concurrent Term Rewriting. FCT Franck Seynhaeve, Sophie Tison, Marc Tommasi
1999	J	`jnl`	Set Constraints and Automata. Inf. Comput. Rémi Gilleron, Sophie Tison, Marc Tommasi
1997	—	`conf`	Grid Structure and Undecidable Constraint Theories. TAPSOFT Franck Seynhaeve, Marc Tommasi, Ralf Treinen
1994	—	`conf`	Some new Decidability Results on Positive and Negative Set Constraints. CCL Rémi Gilleron, Sophie Tison, Marc Tommasi
1993	A	`conf`	Solving Systems of Set Constraints using Tree Automata. STACS Rémi Gilleron, Sophie Tison, Marc Tommasi
1993	A*	`conf`	Solving Systems of Set Constraints with Negated Subset Relationships FOCS Rémi Gilleron, Sophie Tison, Marc Tommasi