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

no code implementations • 6 Sep 2022 • Juan R. Trocoso-Pastoriza, Alain Mermoud, Romain Bouyé, Francesco Marino, Jean-Philippe Bossuat, Vincent Lenders, Jean-Pierre Hubaux

However, this activity presents challenges due to the tension between data sharing and confidentiality, that result in information retention often leading to a free-rider problem.

Privacy Preserving

POSEIDON: Privacy-Preserving Federated Neural Network Learning

no code implementations • 1 Sep 2020 • Sinem Sav, Apostolos Pyrgelis, Juan R. Troncoso-Pastoriza, David Froelicher, Jean-Philippe Bossuat, Joao Sa Sousa, Jean-Pierre Hubaux

In this paper, we address the problem of privacy-preserving training and evaluation of neural networks in an $N$-party, federated learning setting.

Federated Learning Privacy Preserving