Jean-Philippe Bossuat

Abdulrahman Diaa

Proc. Priv. Enhancing Technol., October, 2023

Scalable and Privacy-Preserving Federated Principal Component Analysis.

[BibT_eX]

[DOI]

Bonnie Berger

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

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

[BibT_eX]

[DOI]

Francesco Intoci

Proceedings of the Applied Cryptography and Network Security Workshops, 2023

2022

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

[BibT_eX]

[DOI]

Manfred Claassen

Patterns, 2022

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

[BibT_eX]

[DOI]

IACR Cryptol. ePrint Arch., 2022

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

[BibT_eX]

[DOI]

Alain Mermoud

Romain Bouyé

Francesco Marino

Vincent Lenders

CoRR, 2022

2021

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

[BibT_eX]

[DOI]

Christian Mouchet

Proc. Priv. Enhancing Technol., 2021

Scalable Privacy-Preserving Distributed Learning.

[BibT_eX]

[DOI]

David Froelicher

Joao Sa Sousa

Proc. Priv. Enhancing Technol., 2021

POSEIDON: Privacy-Preserving Federated Neural Network Learning.

[BibT_eX]

[DOI]

David Froelicher

Joao Sa Sousa

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

2020

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

[BibT_eX]

[DOI]

Christian Mouchet