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Pierre Jobic

Name: dblp XML data dump
Creator: Schloss Dagstuhl - Leibniz Center for Informatics
Published: 1993
License: https://creativecommons.org/publicdomain/zero/1.0/
Keywords: dblp, XML, computer science, scholarly publications, metadata

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2025
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Pierre Jobic:
When Gradients Leak: On the Scope and Limits of Reconstruction Attacks in Federated Learning. (Quand les gradients révèlent des informations: portée et limites des attaques par reconstruction en apprentissage fédéré). University of Paris-Saclay, France, 2025
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Pierre Jobic, Aurélien Mayoue, Sara Tucci Piergiovanni:
Label Leakage in Regression Federated Learning Using Cryptographic Tools. SSS 2025: 253-269
2024
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Pierre Jobic, Aurélien Mayoue, Sara Tucci Piergiovanni, François Terrier:
Extending the Scope of Gradient Reconstruction Attacks in Federated Averaging. IH&MMSec 2024: 235-246
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William Boitier, Antonella Del Pozzo, Álvaro García-Pérez, Stéphane Gazut, Pierre Jobic, Alexis Lemaire, Erwan Mahe, Aurélien Mayoue, Maxence Perion, Tuanir Franca Rezende, Deepika Singh, Sara Tucci Piergiovanni:
Fantastyc: Blockchain-Based Federated Learning Made Secure and Practical. SRDS 2024: 260-270
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  - journals/corr/abs-2406-03608
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William Boitier, Antonella Del Pozzo, Álvaro García-Pérez, Stéphane Gazut, Pierre Jobic, Alexis Lemaire, Erwan Mahe, Aurélien Mayoue, Maxence Perion, Deepika Singh, Tuanir Franca Rezende, Sara Tucci Piergiovanni:
Fantastyc: Blockchain-based Federated Learning Made Secure and Practical. CoRR abs/2406.03608 (2024)
2023
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Théophile Sanchez, Erik Madison Bray, Pierre Jobic, Jérémy Guez, Anne-Catherine Letournel, Guillaume Charpiat, Jean Cury, Flora Jay:
dnadna: a deep learning framework for population genetics inference. Bioinform. 39(1) (2023)
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Pierre Jobic, Maxime Haddouche, Benjamin Guedj:
Federated Learning with Nonvacuous Generalisation Bounds. CoRR abs/2310.11203 (2023)

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