Jean-Philippe Bossuat

According to our database, Jean-Philippe Bossuat authored at least 15 papers between 2020 and 2025.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of three.

2025

TETRIS: Composing FHE Techniques for Private Functional Exploration Over Large Datasets.

Malika Izabachène, Jean-Philippe Bossuat

Proc. Priv. Enhancing Technol., 2025

Accurate and Composable Noise Estimates for CKKS with Application to Exact HE Computation.

Jean-Philippe Bossuat, Anamaria Costache, Christian Mouchet, Lea Nürnberger, Juan Ramón Troncoso-Pastoriza

IACR Commun. Cryptol., 2025

2024

Practical q-IND-CPA-D-Secure Approximate Homomorphic Encryption.

Jean-Philippe Bossuat, Anamaria Costache, Christian Mouchet, Lea Nürnberger, Juan Ramón Troncoso-Pastoriza

IACR Cryptol. ePrint Arch., 2024

Security Guidelines for Implementing Homomorphic Encryption.

Jean-Philippe Bossuat, Rosario Cammarota, Jung Hee Cheon, Ilaria Chillotti, Benjamin R. Curtis, Wei Dai, Huijing Gong, Erin Hales, Duhyeong Kim, Bryan Kumara, Changmin Lee, Xianhui Lu, Carsten Maple, Alberto Pedrouzo-Ulloa, Rachel Player, Luis Antonio Ruiz Lopez, Yongsoo Song, Donggeon Yhee, Bahattin Yildiz

IACR Cryptol. ePrint Arch., 2024

Security Guidelines for Implementing Homomorphic Encryption.

Jean-Philippe Bossuat, Rosario Cammarota, Ilaria Chillotti, Benjamin R. Curtis, Wei Dai, Huijing Gong, Erin Hales, Duhyeong Kim, Bryan Kumara, Changmin Lee, Xianhui Lu, Carsten Maple, Alberto Pedrouzo-Ulloa, Rachel Player, Yuriy Polyakov, Luis Antonio Ruiz Lopez, Yongsoo Song, Donggeon Yhee

IACR Commun. Cryptol., 2024

2023

Privacy-Preserving Federated Recurrent Neural Networks.

Sinem Sav, Abdulrahman Diaa, Apostolos Pyrgelis, Jean-Philippe Bossuat, Jean-Pierre Hubaux

Proc. Priv. Enhancing Technol., October, 2023

Scalable and Privacy-Preserving Federated Principal Component Analysis.

David Froelicher, Hyunghoon Cho, Manaswitha Edupalli, Joao Sa Sousa, Jean-Philippe Bossuat, Apostolos Pyrgelis, Juan Ramón Troncoso-Pastoriza, Bonnie Berger, Jean-Pierre Hubaux

Proceedings of the 44th IEEE Symposium on Security and Privacy, 2023

slytHErin: An Agile Framework for Encrypted Deep Neural Network Inference.

Francesco Intoci, Sinem Sav, Apostolos Pyrgelis, Jean-Philippe Bossuat, Juan Ramón Troncoso-Pastoriza, Jean-Pierre Hubaux

Proceedings of the Applied Cryptography and Network Security Workshops, 2023

2022

Privacy-preserving federated neural network learning for disease-associated cell classification.

Sinem Sav, Jean-Philippe Bossuat, Juan Ramón Troncoso-Pastoriza, Manfred Claassen, Jean-Pierre Hubaux

Patterns, 2022

Bootstrapping for Approximate Homomorphic Encryption with Negligible Failure-Probability by Using Sparse-Secret Encapsulation.

Jean-Philippe Bossuat, Juan Ramón Troncoso-Pastoriza, Jean-Pierre Hubaux

IACR Cryptol. ePrint Arch., 2022

Orchestrating Collaborative Cybersecurity: A Secure Framework for Distributed Privacy-Preserving Threat Intelligence Sharing.

Juan Ramón Troncoso-Pastoriza, Alain Mermoud, Romain Bouyé, Francesco Marino, Jean-Philippe Bossuat, Vincent Lenders, Jean-Pierre Hubaux

CoRR, 2022

2021

Multiparty Homomorphic Encryption from Ring-Learning-with-Errors.

Christian Mouchet, Juan Ramón Troncoso-Pastoriza, Jean-Philippe Bossuat, Jean-Pierre Hubaux

Proc. Priv. Enhancing Technol., 2021

Scalable Privacy-Preserving Distributed Learning.

David Froelicher, Juan Ramón Troncoso-Pastoriza, Apostolos Pyrgelis, Sinem Sav, Joao Sa Sousa, Jean-Philippe Bossuat, Jean-Pierre Hubaux

Proc. Priv. Enhancing Technol., 2021

POSEIDON: Privacy-Preserving Federated Neural Network Learning.

Sinem Sav, Apostolos Pyrgelis, Juan Ramón Troncoso-Pastoriza, David Froelicher, Jean-Philippe Bossuat, Joao Sa Sousa, Jean-Pierre Hubaux

Proceedings of the 28th Annual Network and Distributed System Security Symposium, 2021

2020

Efficient Bootstrapping for Approximate Homomorphic Encryption with Non-Sparse Keys.

Jean-Philippe Bossuat, Christian Mouchet, Juan Ramón Troncoso-Pastoriza, Jean-Pierre Hubaux

IACR Cryptol. ePrint Arch., 2020