Arnaud Grivet Sébert

Arnaud Grivet Sébert

Publications

You can also find my articles on my Google Scholar profile.

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

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

Recommended citation: Grivet Sébert, A., Zuber, M., Stan, O., Sirdey, R., & Gouy-Pailler, C. (2023, November). A probabilistic design for practical homomorphic majority voting with intrinsic differential privacy. In Proceedings of the 11th Workshop on Encrypted Computing & Applied Homomorphic Cryptography (pp. 47-58).
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Combining homomorphic encryption and differential privacy in federated learning

Published in 20th Annual International Conference on Privacy, Security and Trust (PST), 2023

Recommended citation: Grivet Sébert, A., Checri, M., Stan, O., Sirdey, R., & Gouy-Pailler, C. (2023, August). Combining homomorphic encryption and differential privacy in federated learning. In 2023 20th Annual International Conference on Privacy, Security and Trust (PST) (pp. 1-7). IEEE.
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Preference Aggregation in the Generalised Unavailable Candidate Model

Published in Algorithmic Decision Theory: 7th International Conference (ADT 2021), 2021

Recommended citation: Grivet Sébert, A., Maudet, N., Perny, P., & Viappiani, P. (2021). Preference aggregation in the generalised unavailable candidate model. In Algorithmic Decision Theory: 7th International Conference, ADT 2021, Toulouse, France, November 3–5, 2021, Proceedings 7 (pp. 35-50). Springer International Publishing.
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A secure federated learning framework using homomorphic encryption and verifiable computing

Published in 2021 Reconciling Data Analytics, Automation, Privacy, and Security: A Big Data Challenge (RDAAPS), 2021

Recommended citation: Madi, A., Stan, O., Mayoue, A., Grivet Sébert, A., Gouy-Pailler, C., & Sirdey, R. (2021, May). A secure federated learning framework using homomorphic encryption and verifiable computing. In 2021 Reconciling Data Analytics, Automation, Privacy, and Security: A Big Data Challenge (RDAAPS) (pp. 1-8). IEEE.
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Rank Aggregation by Dissatisfaction Minimisation in the Unavailable Candidate Model

Published in 20th International Conference on Autonomous Agents and Multiagent Systems (AAMAS 2021), 2021

Recommended citation: Grivet Sébert, A., Maudet, N., Perny, P., & Viappiani, P. (2021, May). Rank Aggregation by Dissatisfaction Minimisation in the Unavailable Candidate Model. In 20th International Conference on Autonomous Agents and Multiagent Systems (AAMAS 2021) (pp. 1518-1520). ACM.
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Fuzzy rule learning for material classification from imprecise data

Published in Information Processing and Management of Uncertainty in Knowledge-Based Systems. Theory and Foundations: 17th International Conference (IPMU 2018), 2018

Recommended citation: Grivet Sébert, A., & Poli, J. P. (2018). Fuzzy rule learning for material classification from imprecise data. In Information Processing and Management of Uncertainty in Knowledge-Based Systems. Theory and Foundations: 17th International Conference, IPMU 2018, Cádiz, Spain, June 11-15, 2018, Proceedings, Part I 17 (pp. 62-73). Springer International Publishing.
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