Marc Tommasi

19 papers · 2012–2025 · 7 conferences · across top CS/AI conferences

Achievements

🐣 Hot Topic Early Bird 🌉 Interdisciplinary Bridge 🗺️ Taxonomy Completionist (11) 🧭 Keyword Pioneer 🌍 Conference Polyglot (7) 🏃 Academic Marathon (13) 🐝 Cross-Pollinator (10) 🌈 Renaissance Researcher (7) 👥 Mega-Team (24) 🏆 Keyword Champion 🤝 Dynamic Duo (15) ❓ The Questioner 🗃️ Keyword Collector (83) 📈 Trend Setter 💎 Century Club (19)

Conferences

AISTATS (5) ICML (5) INTERSPEECH (4) NIPS (2) EMNLP (1) JMLR (1) NAACL (1)

Top co-authors

Aurélien Bellet (15) Emmanuel Vincent (4) Brij Mohan Lal Srivastava (4) Paul Mangold (4) Mohamed Maouche (3) Matthieu Boussard (2) Damien Sileo (2) Nathalie Vauquier (2) Joseph Salmon (2) Giovanni Neglia (2)

Research topics

Differential Privacy (3) Privacy (1)

Keywords

differential privacy (4) personalized model (3) decentralized learning (3) empirical risk minimization (2) graph laplacian (2) speaker verification (2) automatic speech recognition (2) decentralized optimization (1) policy optimization (1) federated learning (1) privacy preservation (1) authorship attribution (1) text generation (1) distributed optimization (1) stochastic gradient descent (1) skill rating (1) graph theory (1) evaluation framework (1) random fields (1) statistical modeling (1)

Papers

TAROT: Task-Oriented Authorship Obfuscation Using Policy Optimization Methods NAACL 2025

Privacy Amplification Through Synthetic Data: Insights from Linear Regression ICML 2025

Tau-Eval: A Unified Evaluation Framework for Useful and Private Text Anonymization EMNLP 2025

Rényi Pufferfish Privacy: General Additive Noise Mechanisms and Privacy Amplification by Iteration via Shift Reduction Lemmas ICML 2024

Improved Stability and Generalization Guarantees of the Decentralized SGD Algorithm ICML 2024

Differential Privacy has Bounded Impact on Fairness in Classification ICML 2023

Refined Convergence and Topology Learning for Decentralized SGD with Heterogeneous Data AISTATS 2023

High-Dimensional Private Empirical Risk Minimization by Greedy Coordinate Descent AISTATS 2023

Differentially Private Coordinate Descent for Composite Empirical Risk Minimization ICML 2022

Enhancing Speech Privacy with Slicing INTERSPEECH 2022

FLamby: Datasets and Benchmarks for Cross-Silo Federated Learning in Realistic Healthcare Settings NIPS 2022

Fully Decentralized Joint Learning of Personalized Models and Collaboration Graphs AISTATS 2020

A Comparative Study of Speech Anonymization Metrics INTERSPEECH 2020

Design Choices for X-Vector Based Speaker Anonymization INTERSPEECH 2020

Skill Rating for Multiplayer Games. Introducing Hypernode Graphs and their Spectral Theory JMLR 2020

Privacy-Preserving Adversarial Representation Learning in ASR: Reality or Illusion? INTERSPEECH 2019

Personalized and Private Peer-to-Peer Machine Learning AISTATS 2018

Decentralized Collaborative Learning of Personalized Models over Networks AISTATS 2017

Fiedler Random Fields: A Large-Scale Spectral Approach to Statistical Network Modeling NIPS 2012