Publications
Scalable Privacy-Preserving Distributed Learning
David Froelicher, Juan R. Troncoso-Pastoriza, Apostolos Pyrgelis, Sinem Sav, João Sá Sousa, Jean-Philippe Bossuat and Jean-Pierre Hubaux: “Scalable Privacy-Preserving Distributed Learning”, 21st Privacy Enhancing Technologies Symposium (PETS 2021).
POSEIDON: Privacy-Preserving Federated Neural Network Learning
Sinem Sav, Apostolos Pyrgelis, Juan R. Troncoso-Pastoriza, David Froelicher, Jean-Philippe Bossuat, Joao Sa Sousa, Jean-Pierre Hubaux: “POSEIDON: Privacy-Preserving Federated Neural Network Learning“, Network and Distributed Systems Security (NDSS) Symposium 2021.
MedCo: Enabling the Secure Sharing of Medical Data - A technical and legal perspective
Jean Louis Raisaro, Jean-Philippe Bossuat, Juan Troncoso-Pastoriza, Valérie Junod and Jean-Pierre Hubaux, “MedCo: Enabling the Secure Sharing of Medical Data – A technical and legal perspective”, 20/04/2021.
Multiparty Homomorphic Encryption: From Theory to Practice
Christian Mouchet, Juan R. Troncoso-Pastoriza and Jean-Pierre Hubaux: Multiparty Homomorphic Encryption: From Theory to Practice. Cryptology ePrint Archive, Report 2020/304, 2020
Privacy-Preserving Multi-centric Medical Research with Multi-party Homomorphic Encryption
David Froelicher, Juan R. Troncoso-Pastoriza, Jean Louis Raisaro, Michel Cuendet, Jean-Pierre Hubaux: Privacy-Preserving Multi-centric Medical Research with Multi-party Homomorphic Encryption. Talk at the 7th International Workshop on Genome Privacy and Security (GenoPri’20).
[slides]
Drynx: Decentralized, Secure, Verifiable System for Statistical Queries and Machine Learning on Distributed Datasets
D. Froelicher, J. R. Troncoso-Pastoriza, J. S. Sousa and J. P. Hubaux, “Drynx: Decentralized, Secure, Verifiable System for Statistical Queries and Machine Learning on Distributed Datasets,” in IEEE Transactions on Information Forensics and Security, vol. 15, pp. 3035-3050, 2020, doi: 10.1109/TIFS.2020.2976612.
MedCo: Enabling Secure and Privacy-Preserving Exploration of Distributed Clinical and Genomic Data
J. L. Raisaro, J. R. Troncoso-Pastoriza, M. Misbach, J. A. Gomes de Sá E Sousa, S. Pradervand et al. : MedCo: Enabling Secure and Privacy-Preserving Exploration of Distributed Clinical and Genomic Data. IEEE/ACM Transactions on computational biology and bioinformatics, vol. 16, no. 4, pp. 1328-1341, 1 July-Aug. 2019. DOI: 10.1109/TCBB.2018.2854776.
MedCo2: Privacy-Preserving Cohort Exploration and Analysis
David Froelicher, Mickaël Misbach, Juan R. Troncoso-Pastoriza, Jean-Louis Raisaro and Jean-Pierre Hubaux: MedCo2: Privacy-Preserving Cohort Exploration and Analysis. 6th International Workshop on Genome Privacy and Security (GenoPri’19), October 21-22, 2019, Boston, USA
MedChain: Accountable and Auditable Data Sharing in Distributed Clinical Research Networks
Juan R. Troncoso-Pastoriza, Jean-Louis Raisaro, Linus Gasser, Bryan Ford and Jean-Pierre Hubaux: MedChain: Accountable and Auditable Data Sharing in Distributed Clincial Research Networks. AMIA 2019 Informatics Summit, March 25-28, 2019, San Francisco, USA.
UnLynx: A Decentralized System for Privacy-Conscious Data Sharing
Follow us on:
