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ORCIDArnaud Grivet Sébert
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2020 – today
- 2023
[b1]Arnaud Grivet Sébert:
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). University of Paris-Saclay, France, 2023- [c6]Arnaud Grivet Sébert, Marina Checri, Oana Stan, Renaud Sirdey, Cédric Gouy-Pailler:
Combining homomorphic encryption and differential privacy in federated learning. PST 2023: 1-7 - [c5]Arnaud Grivet Sébert
, Martin Zuber, Oana Stan, Renaud Sirdey, Cédric Gouy-Pailler:
A Probabilistic Design for Practical Homomorphic Majority Voting with Intrinsic Differential Privacy. WAHC@CCS 2023: 47-58 - [i3]Arnaud Grivet Sébert, Martin Zuber, Oana Stan, Renaud Sirdey, Cédric Gouy-Pailler:
When approximate design for fast homomorphic computation provides differential privacy guarantees. CoRR abs/2304.02959 (2023) - 2022
- [i2]Arnaud Grivet Sébert, Renaud Sirdey, Oana Stan, Cédric Gouy-Pailler:
Protecting Data from all Parties: Combining FHE and DP in Federated Learning. CoRR abs/2205.04330 (2022) - 2021
- [j1]Arnaud Grivet Sébert, Rafael Pinot, Martin Zuber, Cédric Gouy-Pailler, Renaud Sirdey:
SPEED: secure, PrivatE, and efficient deep learning. Mach. Learn. 110(4): 675-694 (2021) - [c4]Arnaud Grivet Sébert, Nicolas Maudet, Patrice Perny, Paolo Viappiani:
Preference Aggregation in the Generalised Unavailable Candidate Model. ADT 2021: 35-50 - [c3]Arnaud Grivet Sébert, Nicolas Maudet, Patrice Perny, Paolo Viappiani:
Rank Aggregation by Dissatisfaction Minimisation in the Unavailable Candidate Model. AAMAS 2021: 1518-1520 - 2020
- [i1]Arnaud Grivet Sébert, Rafael Pinot, Martin Zuber, Cédric Gouy-Pailler, Renaud Sirdey:
SPEED: Secure, PrivatE, and Efficient Deep learning. CoRR abs/2006.09475 (2020)
2010 – 2019
- 2018
- [c2]Arnaud Grivet Sébert, Jean-Philippe Poli:
Material Classification from Imprecise Chemical Composition : Probabilistic vs Possibilistic Approach. FUZZ-IEEE 2018: 1-8 - [c1]Arnaud Grivet Sébert, Jean-Philippe Poli:
Fuzzy Rule Learning for Material Classification from Imprecise Data. IPMU (1) 2018: 62-73
Coauthor Index
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