Arnaud Grivet Sébert

According to our database, Arnaud Grivet Sébert authored at least 10 papers between 2018 and 2023.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2023

Combining differential privacy and homomorphic encryption for privacy-preserving collaborative machine learning. (Approches combinant confidentialité différentielle et chiffrement homomorphe pour la protection des données en apprentissage automatique collaboratif).

Arnaud Grivet Sébert

PhD thesis, 2023

When approximate design for fast homomorphic computation provides differential privacy guarantees.

Arnaud Grivet Sébert, Martin Zuber, Oana Stan, Renaud Sirdey, Cédric Gouy-Pailler

CoRR, 2023

A Probabilistic Design for Practical Homomorphic Majority Voting with Intrinsic Differential Privacy.

Arnaud Grivet Sébert, Martin Zuber, Oana Stan, Renaud Sirdey, Cédric Gouy-Pailler

Proceedings of the 11th Workshop on Encrypted Computing & Applied Homomorphic Cryptography, 2023

Combining homomorphic encryption and differential privacy in federated learning.

Arnaud Grivet Sébert, Marina Checri, Oana Stan, Renaud Sirdey, Cédric Gouy-Pailler

Proceedings of the 20th Annual International Conference on Privacy, Security and Trust, 2023

2022

Protecting Data from all Parties: Combining FHE and DP in Federated Learning.

Arnaud Grivet Sébert, Renaud Sirdey, Oana Stan, Cédric Gouy-Pailler

CoRR, 2022

2021

SPEED: secure, PrivatE, and efficient deep learning.

Arnaud Grivet Sébert, Rafael Pinot, Martin Zuber, Cédric Gouy-Pailler, Renaud Sirdey

Mach. Learn., 2021

Rank Aggregation by Dissatisfaction Minimisation in the Unavailable Candidate Model.

Arnaud Grivet Sébert, Nicolas Maudet, Patrice Perny, Paolo Viappiani

Proceedings of the AAMAS '21: 20th International Conference on Autonomous Agents and Multiagent Systems, 2021

Preference Aggregation in the Generalised Unavailable Candidate Model.

Arnaud Grivet Sébert, Nicolas Maudet, Patrice Perny, Paolo Viappiani

Proceedings of the Algorithmic Decision Theory - 7th International Conference, 2021

2018

Fuzzy Rule Learning for Material Classification from Imprecise Data.

Arnaud Grivet Sébert, Jean-Philippe Poli

Proceedings of the Information Processing and Management of Uncertainty in Knowledge-Based Systems. Theory and Foundations, 2018

Material Classification from Imprecise Chemical Composition : Probabilistic vs Possibilistic Approach.

Arnaud Grivet Sébert, Jean-Philippe Poli

Proceedings of the 2018 IEEE International Conference on Fuzzy Systems, 2018