Jean-Philippe Bossuat

24 papers A* 2B 1Journal 19Unranked 2
YearRankTypeTitle / Venue / Authors
2026 J jnl
Large domain homomorphic evaluation for BFV-like schemes via ring repacking.
Des. Codes Cryptogr.
Jean-Philippe Bossuat, Malika Izabachène
2025 J jnl
Accurate and Composable Noise Estimates for CKKS with Application to Exact HE Computation.
IACR Commun. Cryptol.
Jean-Philippe Bossuat, Anamaria Costache, Christian Mouchet, Lea Nürnberger, Juan Ramón Troncoso-Pastoriza
2025 J jnl
TETRIS: Composing FHE Techniques for Private Functional Exploration Over Large Datasets.
Proc. Priv. Enhancing Technol.
Malika Izabachène, Jean-Philippe Bossuat
2024 J jnl
Practical q-IND-CPA-D-Secure Approximate Homomorphic Encryption.
IACR Cryptol. ePrint Arch.
Jean-Philippe Bossuat, Anamaria Costache, Christian Mouchet, Lea Nürnberger, Juan Ramón Troncoso-Pastoriza
2024 J jnl
Security Guidelines for Implementing Homomorphic Encryption.
IACR Commun. Cryptol.
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
2024 J jnl
Security Guidelines for Implementing Homomorphic Encryption.
IACR Cryptol. ePrint Arch.
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
2024 J jnl
TETRIS: Composing FHE Techniques for Private Functional Exploration Over Large Datasets.
CoRR
Malika Izabachène, Jean-Philippe Bossuat
2023 J jnl
Privacy-Preserving Federated Recurrent Neural Networks.
Proc. Priv. Enhancing Technol.
Sinem Sav, Abdulrahman Diaa, Apostolos Pyrgelis, Jean-Philippe Bossuat, Jean-Pierre Hubaux
2023 A* conf
Scalable and Privacy-Preserving Federated Principal Component Analysis.
SP
David Froelicher, Hyunghoon Cho, Manaswitha Edupalli, Joao Sa Sousa, Jean-Philippe Bossuat, Apostolos Pyrgelis, Juan Ramón Troncoso-Pastoriza, Bonnie Berger, Jean-Pierre Hubaux
2023 J jnl
Scalable and Privacy-Preserving Federated Principal Component Analysis.
CoRR
David Froelicher, Hyunghoon Cho, Manaswitha Edupalli, Joao Sa Sousa, Jean-Philippe Bossuat, Apostolos Pyrgelis, Juan Ramón Troncoso-Pastoriza, Bonnie Berger, Jean-Pierre Hubaux
2023 — conf
slytHErin: An Agile Framework for Encrypted Deep Neural Network Inference.
ACNS Workshops
Francesco Intoci, Sinem Sav, Apostolos Pyrgelis, Jean-Philippe Bossuat, Juan Ramón Troncoso-Pastoriza, Jean-Pierre Hubaux
2023 J jnl
slytHErin: An Agile Framework for Encrypted Deep Neural Network Inference.
CoRR
Francesco Intoci, Sinem Sav, Apostolos Pyrgelis, Jean-Philippe Bossuat, Juan Ramón Troncoso-Pastoriza, Jean-Pierre Hubaux
2022 B conf
Bootstrapping for Approximate Homomorphic Encryption with Negligible Failure-Probability by Using Sparse-Secret Encapsulation.
ACNS
Jean-Philippe Bossuat, Juan Ramón Troncoso-Pastoriza, Jean-Pierre Hubaux
2022 J jnl
Bootstrapping for Approximate Homomorphic Encryption with Negligible Failure-Probability by Using Sparse-Secret Encapsulation.
IACR Cryptol. ePrint Arch.
Jean-Philippe Bossuat, Juan Ramón Troncoso-Pastoriza, Jean-Pierre Hubaux
2022 J jnl
Orchestrating Collaborative Cybersecurity: A Secure Framework for Distributed Privacy-Preserving Threat Intelligence Sharing.
CoRR
Juan Ramón Troncoso-Pastoriza, Alain Mermoud, Romain Bouyé, Francesco Marino, Jean-Philippe Bossuat, Vincent Lenders, Jean-Pierre Hubaux
2022 J jnl
Privacy-Preserving Federated Recurrent Neural Networks.
CoRR
Sinem Sav, Abdulrahman Diaa, Apostolos Pyrgelis, Jean-Philippe Bossuat, Jean-Pierre Hubaux
2022 J jnl
Privacy-preserving federated neural network learning for disease-associated cell classification.
Patterns
Sinem Sav, Jean-Philippe Bossuat, Juan Ramón Troncoso-Pastoriza, Manfred Claassen, Jean-Pierre Hubaux
2021 — conf
Efficient Bootstrapping for Approximate Homomorphic Encryption with Non-sparse Keys.
EUROCRYPT (1)
Jean-Philippe Bossuat, Christian Mouchet, Juan Ramón Troncoso-Pastoriza, Jean-Pierre Hubaux
2021 J jnl
Multiparty Homomorphic Encryption from Ring-Learning-with-Errors.
Proc. Priv. Enhancing Technol.
Christian Mouchet, Juan Ramón Troncoso-Pastoriza, Jean-Philippe Bossuat, Jean-Pierre Hubaux
2021 A* conf
POSEIDON: Privacy-Preserving Federated Neural Network Learning.
NDSS
Sinem Sav, Apostolos Pyrgelis, Juan Ramón Troncoso-Pastoriza, David Froelicher, Jean-Philippe Bossuat, Joao Sa Sousa, Jean-Pierre Hubaux
2021 J jnl
Scalable Privacy-Preserving Distributed Learning.
Proc. Priv. Enhancing Technol.
David Froelicher, Juan Ramón Troncoso-Pastoriza, Apostolos Pyrgelis, Sinem Sav, Joao Sa Sousa, Jean-Philippe Bossuat, Jean-Pierre Hubaux
2020 J jnl
Efficient Bootstrapping for Approximate Homomorphic Encryption with Non-Sparse Keys.
IACR Cryptol. ePrint Arch.
Jean-Philippe Bossuat, Christian Mouchet, Juan Ramón Troncoso-Pastoriza, Jean-Pierre Hubaux
2020 J jnl
POSEIDON: Privacy-Preserving Federated Neural Network Learning.
CoRR
Sinem Sav, Apostolos Pyrgelis, Juan Ramón Troncoso-Pastoriza, David Froelicher, Jean-Philippe Bossuat, Joao Sa Sousa, Jean-Pierre Hubaux
2020 J jnl
Scalable Privacy-Preserving Distributed Learning.
CoRR
David Froelicher, Juan Ramón Troncoso-Pastoriza, Apostolos Pyrgelis, Sinem Sav, Joao Sa Sousa, Jean-Philippe Bossuat, Jean-Pierre Hubaux