| POSEIDON: Privacy-preserving federated neural network learning S Sav, A Pyrgelis, JR Troncoso-Pastoriza, D Froelicher, JP Bossuat, ... arXiv preprint arXiv:2009.00349, 2020 | 151 | 2020 |
| 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 | 107 | 2021 |
| 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 | 100 | 2021 |
| Scalable privacy-preserving distributed learning D Froelicher, JR Troncoso-Pastoriza, A Pyrgelis, S Sav, JS Sousa, ... arXiv preprint arXiv:2005.09532, 2020 | 63 | 2020 |
| 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 | 60 | 2020 |
| 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 | 56 | 2021 |
| 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 | 23 | 2022 |
| 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 | 19 | 2022 |
| 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 | 9 | 2023 |
| 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 | 9 | |
| 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 | 6 | 2022 |
| 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 | 6 | 2020 |
| Privacy-preserving federated recurrent neural networks S Sav, A Diaa, A Pyrgelis, JP Bossuat, JP Hubaux arXiv preprint arXiv:2207.13947, 2022 | 5 | 2022 |
| 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 | 4 | 2023 |
| 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 | 2 | 2023 |
| POSEIDON: Privacy-preserving federated neural network learning. arXiv preprint: 2009.00349, 2020 S Sav, A Pyrgelis, JR Troncoso-Pastoriza, D Froelicher, JP Bossuat, ... Search in, 0 | 2 | |
| 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 | 1 | 2023 |
| Security Guidelines for Implementing Homomorphic Encryption JP Bossuat, R Cammarota, JH Cheon, I Chillotti, BR Curtis, W Dai, ... Cryptology ePrint Archive, 2024 | | 2024 |
| LDS E Ayday, L Barman, I Bilogrevic, JP Bossuat, R Bouyé, ... | | |
