Jean-Philippe Bossuat

Publication Activity (10 Years)

Years Active: 2020-2024
Publications (10 Years): 19

Top Topics

Distributed Learning

Vertically Partitioned Data

Secure Multiparty Computation

Top Venues

IACR Cryptol. ePrint Arch.

Proc. Priv. Enhancing Technol.

Publications

Jean-Philippe Bossuat, Anamaria Costache, Christian Mouchet, Lea Nürnberger, Juan Ramón Troncoso-Pastoriza
Practical q-IND-CPA-D-Secure Approximate Homomorphic Encryption. IACR Cryptol. ePrint Arch. 2024 (2024)
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
Security Guidelines for Implementing Homomorphic Encryption. IACR Cryptol. ePrint Arch. 2024 (2024)
Francesco Intoci, Sinem Sav, Apostolos Pyrgelis, Jean-Philippe Bossuat, Juan Ramón Troncoso-Pastoriza, Jean-Pierre Hubaux
slytHErin: An Agile Framework for Encrypted Deep Neural Network Inference. ACNS Workshops (2023)
Sinem Sav, Abdulrahman Diaa, Apostolos Pyrgelis, Jean-Philippe Bossuat, Jean-Pierre Hubaux
Privacy-Preserving Federated Recurrent Neural Networks. Proc. Priv. Enhancing Technol. 2023 (4) (2023)
Francesco Intoci, Sinem Sav, Apostolos Pyrgelis, Jean-Philippe Bossuat, Juan Ramón Troncoso-Pastoriza, Jean-Pierre Hubaux
slytHErin: An Agile Framework for Encrypted Deep Neural Network Inference. CoRR (2023)
David Froelicher, Hyunghoon Cho, Manaswitha Edupalli, Joao Sa Sousa, Jean-Philippe Bossuat, Apostolos Pyrgelis, Juan Ramón Troncoso-Pastoriza, Bonnie Berger, Jean-Pierre Hubaux
Scalable and Privacy-Preserving Federated Principal Component Analysis. SP (2023)
David Froelicher, Hyunghoon Cho, Manaswitha Edupalli, Joao Sa Sousa, Jean-Philippe Bossuat, Apostolos Pyrgelis, Juan Ramón Troncoso-Pastoriza, Bonnie Berger, Jean-Pierre Hubaux
Scalable and Privacy-Preserving Federated Principal Component Analysis. CoRR (2023)
Sinem Sav, Jean-Philippe Bossuat, Juan Ramón Troncoso-Pastoriza, Manfred Claassen, Jean-Pierre Hubaux
Privacy-preserving federated neural network learning for disease-associated cell classification. Patterns 3 (5) (2022)
Juan Ramón Trocoso-Pastoriza, Alain Mermoud, Romain Bouyé, Francesco Marino, Jean-Philippe Bossuat, Vincent Lenders, Jean-Pierre Hubaux
Orchestrating Collaborative Cybersecurity: A Secure Framework for Distributed Privacy-Preserving Threat Intelligence Sharing. CoRR (2022)
Sinem Sav, Abdulrahman Diaa, Apostolos Pyrgelis, Jean-Philippe Bossuat, Jean-Pierre Hubaux
Privacy-Preserving Federated Recurrent Neural Networks. CoRR (2022)
Jean-Philippe Bossuat, Juan Ramón Troncoso-Pastoriza, Jean-Pierre Hubaux
Bootstrapping for Approximate Homomorphic Encryption with Negligible Failure-Probability by Using Sparse-Secret Encapsulation. ACNS (2022)
Jean-Philippe Bossuat, Juan Ramón Troncoso-Pastoriza, Jean-Pierre Hubaux
Bootstrapping for Approximate Homomorphic Encryption with Negligible Failure-Probability by Using Sparse-Secret Encapsulation. IACR Cryptol. ePrint Arch. 2022 (2022)
Christian Mouchet, Juan Ramón Troncoso-Pastoriza, Jean-Philippe Bossuat, Jean-Pierre Hubaux
Multiparty Homomorphic Encryption from Ring-Learning-with-Errors. Proc. Priv. Enhancing Technol. 2021 (4) (2021)
Jean-Philippe Bossuat, Christian Mouchet, Juan Ramón Troncoso-Pastoriza, Jean-Pierre Hubaux
Efficient Bootstrapping for Approximate Homomorphic Encryption with Non-sparse Keys. EUROCRYPT (1) (2021)
Sinem Sav, Apostolos Pyrgelis, Juan Ramón Troncoso-Pastoriza, David Froelicher, Jean-Philippe Bossuat, Joao Sa Sousa, Jean-Pierre Hubaux
POSEIDON: Privacy-Preserving Federated Neural Network Learning. NDSS (2021)
David Froelicher, Juan Ramón Troncoso-Pastoriza, Apostolos Pyrgelis, Sinem Sav, Joao Sa Sousa, Jean-Philippe Bossuat, Jean-Pierre Hubaux
Scalable Privacy-Preserving Distributed Learning. Proc. Priv. Enhancing Technol. 2021 (2) (2021)
David Froelicher, Juan Ramón Troncoso-Pastoriza, Apostolos Pyrgelis, Sinem Sav, Joao Sa Sousa, Jean-Philippe Bossuat, Jean-Pierre Hubaux
Scalable Privacy-Preserving Distributed Learning. CoRR (2020)
Jean-Philippe Bossuat, Christian Mouchet, Juan Ramón Troncoso-Pastoriza, Jean-Pierre Hubaux
Efficient Bootstrapping for Approximate Homomorphic Encryption with Non-Sparse Keys. IACR Cryptol. ePrint Arch. 2020 (2020)
Sinem Sav, Apostolos Pyrgelis, Juan Ramón Troncoso-Pastoriza, David Froelicher, Jean-Philippe Bossuat, Joao Sa Sousa, Jean-Pierre Hubaux
POSEIDON: Privacy-Preserving Federated Neural Network Learning. CoRR (2020)