POSEIDON: Privacy-Preserving Federated Neural Network Learning Sinem Sav, Apostolos Pyrgelis, Juan R. Troncoso-Pastoriza, David Froelicher, Jean-Philippe Bossuat, Joao Sa Sousa, and Jean-Pierre Hubaux
Network and Distributed Systems Security Symposium (NDSS), 2021
Scalable Privacy-Preserving Distributed Learning David Froelicher, Juan R. Troncoso-Pastoriza, Apostolos Pyrgelis, Sinem Sav, Joao Sa Sousa, Jean-Philippe Bossuat, and Jean-Pierre Hubaux
Proceedings on Privacy Enhancing Technologies (PoPETS 2021)
Workshop Papers
Client Security Alone Fails in Federated Learning: 2D and 3D Attack Insights Santhosh Parampottupadam, Ralf Floca, Dimitrios Bounias, Benjamin Hamm, Saikat Roy, Sinem Sav, Maximilian Zenk, Klaus Maier-Hein
MICCAI Student Board EMERGE Workshop: Empowering MEdical image computing & Research through early-career Expertise