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Jean-Philippe Bossuat
Jean-Philippe Bossuat
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POSEIDON: Privacy-preserving federated neural network learning
S Sav, A Pyrgelis, JR Troncoso-Pastoriza, D Froelicher, JP Bossuat, ...
arXiv preprint arXiv:2009.00349, 2020
1662020
Efficient bootstrapping for approximate homomorphic encryption with non-sparse keys
JP Bossuat, C Mouchet, J Troncoso-Pastoriza, JP Hubaux
Annual International Conference on the Theory and Applications of …, 2021
1182021
Multiparty homomorphic encryption from ring-learning-with-errors
C Mouchet, J Troncoso-Pastoriza, JP Bossuat, JP Hubaux
Proceedings on Privacy Enhancing Technologies 2021 (4), 291-311, 2021
1092021
Scalable privacy-preserving distributed learning
D Froelicher, JR Troncoso-Pastoriza, A Pyrgelis, S Sav, JS Sousa, ...
arXiv preprint arXiv:2005.09532, 2020
732020
Lattigo: A multiparty homomorphic encryption library in go
CV Mouchet, JP Bossuat, JR Troncoso-Pastoriza, JP Hubaux
Proceedings of the 8th Workshop on Encrypted Computing and Applied …, 2020
672020
Ultrafast homomorphic encryption models enable secure outsourcing of genotype imputation
M Kim, AO Harmanci, JP Bossuat, S Carpov, JH Cheon, I Chillotti, W Cho, ...
Cell systems 12 (11), 1108-1120. e4, 2021
612021
Bootstrapping for approximate homomorphic encryption with negligible failure-probability by using sparse-secret encapsulation
JP Bossuat, J Troncoso-Pastoriza, JP Hubaux
International Conference on Applied Cryptography and Network Security, 521-541, 2022
242022
Privacy-preserving federated neural network learning for disease-associated cell classification
S Sav, JP Bossuat, JR Troncoso-Pastoriza, M Claassen, JP Hubaux
Patterns 3 (5), 2022
232022
Scalable and privacy-preserving federated principal component analysis
D Froelicher, H Cho, M Edupalli, JS Sousa, JP Bossuat, A Pyrgelis, ...
2023 IEEE Symposium on Security and Privacy (SP), 1908-1925, 2023
122023
Sinem Sav, Joao Sa Sousa, Jean-Philippe Bossuat, and Jean-Pierre Hubaux. 2020. Scalable Privacy-Preserving Distributed Learning.(2020)
D Froelicher, JR Troncoso-Pastoriza, A Pyrgelis
arXiv preprint cs.CR/2005.09532, 0
10
Orchestrating collaborative cybersecurity: a secure framework for distributed privacy-preserving threat intelligence sharing
JR Trocoso-Pastoriza, A Mermoud, R Bouyé, F Marino, JP Bossuat, ...
arXiv preprint arXiv:2209.02676, 2022
72022
Privacy-preserving federated recurrent neural networks
S Sav, A Diaa, A Pyrgelis, JP Bossuat, JP Hubaux
arXiv preprint arXiv:2207.13947, 2022
72022
Yongha Son, Yongsoo Song, Juan Troncoso-Pastoriza, and Xiaoqian Jiang. 2020. Ultra-Fast Homomorphic Encryption Models enable Secure Outsourcing of Genotype Imputation
M Kim, A Harmanci, JP Bossuat, S Carpov, JH Cheon, I Chillotti, W Cho, ...
bioRxiv, 2020
62020
System and method for privacy-preserving distributed training of machine learning models on distributed datasets
D Froelicher, JR Troncoso-Pastoriza, A Pyrgelis, S Sav, JGDSE Sousa, ...
US Patent App. 17/998,120, 2023
42023
Security Guidelines for Implementing Homomorphic Encryption
JP Bossuat, R Cammarota, JH Cheon, I Chillotti, BR Curtis, W Dai, ...
Cryptology ePrint Archive, 2024
22024
System and method for privacy-preserving distributed training of neural network models on distributed datasets
S Sav, JR Troncoso-Pastoriza, A Pyrgelis, D Froelicher, JGDSE Sousa, ...
US Patent App. 18/043,186, 2023
22023
POSEIDON: Privacy-preserving federated neural network learning. arXiv preprint: 2009.00349, 2020
S Sav, A Pyrgelis, JR Troncoso-Pastoriza, D Froelicher, JP Bossuat, ...
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slytHErin: An Agile Framework for Encrypted Deep Neural Network Inference
F Intoci, S Sav, A Pyrgelis, JP Bossuat, JR Troncoso-Pastoriza, ...
International Conference on Applied Cryptography and Network Security, 359-377, 2023
12023
Practical q-IND-CPA-D-Secure Approximate Homomorphic Encryption
JP Bossuat, A Costache, C Mouchet, L Nürnberger, ...
Cryptology ePrint Archive, 2024
2024
LDS
E Ayday, L Barman, I Bilogrevic, JP Bossuat, R Bouyé, ...
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