Jean-Philippe Bossuat

According to our database1, Jean-Philippe Bossuat authored at least 12 papers between 2020 and 2024.

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Bibliography

2024
Practical q-IND-CPA-D-Secure Approximate Homomorphic Encryption.
IACR Cryptol. ePrint Arch., 2024

Security Guidelines for Implementing Homomorphic Encryption.
IACR Cryptol. ePrint Arch., 2024

2023
Privacy-Preserving Federated Recurrent Neural Networks.
Proc. Priv. Enhancing Technol., October, 2023

Scalable and Privacy-Preserving Federated Principal Component Analysis.
Proceedings of the 44th IEEE Symposium on Security and Privacy, 2023

slytHErin: An Agile Framework for Encrypted Deep Neural Network Inference.
Proceedings of the Applied Cryptography and Network Security Workshops, 2023

2022
Privacy-preserving federated neural network learning for disease-associated cell classification.
Patterns, 2022

Bootstrapping for Approximate Homomorphic Encryption with Negligible Failure-Probability by Using Sparse-Secret Encapsulation.
IACR Cryptol. ePrint Arch., 2022

Orchestrating Collaborative Cybersecurity: A Secure Framework for Distributed Privacy-Preserving Threat Intelligence Sharing.
CoRR, 2022

2021
Multiparty Homomorphic Encryption from Ring-Learning-with-Errors.
Proc. Priv. Enhancing Technol., 2021

Scalable Privacy-Preserving Distributed Learning.
Proc. Priv. Enhancing Technol., 2021

POSEIDON: Privacy-Preserving Federated Neural Network Learning.
Proceedings of the 28th Annual Network and Distributed System Security Symposium, 2021

2020
Efficient Bootstrapping for Approximate Homomorphic Encryption with Non-Sparse Keys.
IACR Cryptol. ePrint Arch., 2020


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