Publications

Sinem Sav, Apostolos Pyrgelis, Juan R. Troncoso-Pastoriza, David Froelisher, Jean-Philippe Bossuat, Joao Sa Sousa, Jean-Pierre Hubaux (2022). POSEIDON: Privacy-Preserving Federated Neural Network Learning.

Jean-Philippe Bossuat, Juan R. Troncoso-Pastoriza, Jean-Pierre Hubaux (2022). Bootstrapping for Approximate Homomorphic Encryption with Negligible Failure-Probability by Using Sparse-Secret Encapsulation. 20th International Conference on Applied Cryptography and Network Security.

David Froelicher, Juan R. Troncoso-Pastoriza, Apostolos Pyrgelis, Sinem Sav, Joao Sa Sousa, Jean-Philippe Bossuat, Jean-Pierre Hubaux (2021). Scalable Privacy-Preserving Distributed Learning. Privacy Enhancing Technologies Symposium (PETS) 2021.

Christian Mouchet, Juan R. Troncoso-Pastoriza, Jean-Philippe Bossuat, Jean-Pierre Hubaux (2021). Multiparty Homomorphic Encryption from Ring-Learning-with-Errors. Privacy Enhancing Technologies Symposium (PETS) 2021.

Jean-Philippe Bossuat, Christian Mouchet, Juan R. Troncoso-Pastoriza, Jean-Pierre Hubaux (2021). Efficient Bootstrapping for Approximate Homomorphic Encryption with Non-sparse Keys. Advances in Cryptology – EUROCRYPT 2021.

Miran Kim, Arif Ozgun Harmanci, Jean-Philippe Bossuat, Sergiu Carpov, Jung Hee Cheon, Ilaria Chillotti, Wonhee Cho, David Froelicher, Nicolas Gama, Mariya Georgieva, Seungwan Hong, Jean-Pierre Hubaux, Duhyeong Kim, Kristin Lauter, Yiping Ma, Lucila Ohno-Machado, Heidi Sofia, Yongha Son, Yongsoo Song, Juan Troncoso-Pastoriza, Xiaoqian Jiang (2021). Ultrafast homomorphic encryption models enable secure outsourcing of genotype imputation. Cell Systems, Volume 12, Issue 11, 17 November 2021, Pages 1108-1120.

Christian Mouchet, Juan R. Troncoso-Pastoriza, Jean-Philippe Bossuat, Jean-Pierre Hubaux (2020). Multiparty Homomorphic Encryption from Ring-Learning-with-Errors. 8th Workshop on Encrypted Computing & Applied Homomorphic Cryptography (WAHC 2020).