Marc Tommasi
20 papers · 2012–2025 · 7 venues · across top CS/AI venues
Authors are matched by name, so researchers who share a name ("Yang Liu", "Wei Wang") appear as a single profile and their paper counts, venues and achievements are combined. How identity is handled.
Achievements
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🗺️ Taxonomy Completionist (33) 🏃 Academic Marathon · Half 🌍 Conference Polyglot · Silver 🌉 Interdisciplinary Bridge · Silver 🐣 Hot Topic Early Bird
🏆
Keyword Champion
🤝
Dynamic Duo
(15)
👥
Mega-Team · Squad
🌈
Renaissance Researcher
(6)
❓
The Questioner
💎
Century Club · Bronze
📈
Trend Setter
🗃️
Keyword Collector
(104)
Top co-authors
Research topics
Machine Learning
(18)
Application Areas
(10)
Optimization & Theory
(10)
Mathematics & Optimization
(7)
Artificial Intelligence
(5)
Core Methods
(5)
Optimization
(5)
Security & Privacy
(4)
Speech & Audio
(4)
Core AI
(4)
Mathematics
(4)
Analysis
(3)
Differential Privacy
(3)
Learning Types
(3)
Natural Language Processing
(2)
Keywords
differential privacy
(5)
decentralized learning
(3)
speaker verification
(3)
personalized model
(3)
graph laplacian
(2)
automatic speech recognition
(2)
privacy-utility trade-off
(2)
empirical risk minimization
(2)
voice anonymization
(2)
decentralized optimization
(1)
authorship attribution
(1)
policy optimization
(1)
federated learning
(1)
distributed optimization
(1)
privacy preservation
(1)
text generation
(1)
stochastic gradient descent
(1)
skill rating
(1)
random fields
(1)
graph theory
(1)
Papers
Exploiting Context-dependent Duration Features for Voice Anonymization Attack Systems
Interspeech 2025
Privacy Amplification Through Synthetic Data: Insights from Linear Regression
ICML 2025
TAROT: Task-Oriented Authorship Obfuscation Using Policy Optimization Methods
NAACL 2025
Tau-Eval: A Unified Evaluation Framework for Useful and Private Text Anonymization
EMNLP 2025
Improved Stability and Generalization Guarantees of the Decentralized SGD Algorithm
ICML 2024
Rényi Pufferfish Privacy: General Additive Noise Mechanisms and Privacy Amplification by Iteration via Shift Reduction Lemmas
ICML 2024
Differential Privacy has Bounded Impact on Fairness in Classification
ICML 2023
High-Dimensional Private Empirical Risk Minimization by Greedy Coordinate Descent
AISTATS 2023
Refined Convergence and Topology Learning for Decentralized SGD with Heterogeneous Data
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
NeurIPS 2022
A Comparative Study of Speech Anonymization Metrics
Interspeech 2020
Design Choices for X-Vector Based Speaker Anonymization
Interspeech 2020
Fully Decentralized Joint Learning of Personalized Models and Collaboration Graphs
AISTATS 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
NeurIPS 2012