Marc Tommasi
19 papers · 2012–2025 · 7 conferences · across top CS/AI conferences
Achievements
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๐ Conference Polyglot (7) ๐ Interdisciplinary Bridge ๐งญ Keyword Pioneer ๐บ๏ธ Taxonomy Completionist (11) ๐ Academic Marathon (13)
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Academic Marathon
(13)
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Cross-Pollinator
(10)
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Renaissance Researcher
(7)
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Mega-Team
(24)
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Keyword Champion
๐ค
Dynamic Duo
(15)
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The Questioner
๐๏ธ
Keyword Collector
(83)
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Trend Setter
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Century Club
(19)
Conferences
AISTATS (5)
ICML (5)
INTERSPEECH (4)
NIPS (2)
EMNLP (1)
JMLR (1)
NAACL (1)
Top co-authors
Research topics
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
Rรฉnyi 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