| POSEIDON: Privacy-preserving federated neural network learning S Sav, A Pyrgelis, JR Troncoso-Pastoriza, D Froelicher, JP Bossuat, ... arXiv preprint arXiv:2009.00349, 2020 | 199 | 2020 |
| Truly privacy-preserving federated analytics for precision medicine with multiparty homomorphic encryption D Froelicher, JR Troncoso-Pastoriza, JL Raisaro, MA Cuendet, JS Sousa, ... Nature communications 12 (1), 5910, 2021 | 153 | 2021 |
| Scalable privacy-preserving distributed learning D Froelicher, JR Troncoso-Pastoriza, A Pyrgelis, S Sav, JS Sousa, ... arXiv preprint arXiv:2005.09532, 2020 | 89 | 2020 |
| Unlynx: a decentralized system for privacy-conscious data sharing D Froelicher, P Egger, JS Sousa, JL Raisaro, Z Huang, CV Mouchet, ... Proceedings on Privacy Enhancing Technologies (PoPETS) 2017 (4), 232-250, 2017 | 86 | 2017 |
| Ultrafast homomorphic encryption models enable secure outsourcing of genotype imputation M Kim, AO Harmanci, JP Bossuat, S Carpov, JH Cheon, I Chillotti, W Cho, ... Cell systems 12 (11), 1108-1120. e4, 2021 | 72 | 2021 |
| Drynx: Decentralized, secure, verifiable system for statistical queries and machine learning on distributed datasets D Froelicher, JR Troncoso-Pastoriza, JS Sousa, JP Hubaux IEEE Transactions on Information Forensics and Security 15, 3035-3050, 2020 | 71 | 2020 |
| Scalable and privacy-preserving federated principal component analysis D Froelicher, H Cho, M Edupalli, JS Sousa, JP Bossuat, A Pyrgelis, ... 2023 IEEE Symposium on Security and Privacy (SP), 1908-1925, 2023 | 21 | 2023 |
| MedCo2: privacy-preserving cohort exploration and analysis D Froelicher, M Misbach, JR Troncoso-Pastoriza, JL Raisaro, JP Hubaux Digital Personalized Health and Medicine, 317-321, 2020 | 12 | 2020 |
| Sharing proofs of retrievability across tenants F Armknecht, JM Bohli, D Froelicher, G Karame Proceedings of the 2017 ACM on Asia Conference on Computer and …, 2017 | 12 | 2017 |
| Sinem Sav, Joao Sa Sousa, Jean-Philippe Bossuat, and Jean-Pierre Hubaux. 2020. Scalable Privacy-Preserving Distributed Learning.(2020) D Froelicher, JR Troncoso-Pastoriza, A Pyrgelis arXiv preprint cs.CR/2005.09532, 0 | 10 | |
| System and method for privacy-preserving distributed training of machine learning models on distributed datasets D Froelicher, JR Troncoso-Pastoriza, A Pyrgelis, S Sav, JGDSE Sousa, ... US Patent App. 17/998,120, 2023 | 8 | 2023 |
| Secure and federated genome-wide association studies for biobank-scale datasets H Cho, D Froelicher, J Chen, M Edupalli, A Pyrgelis, ... bioRxiv, 2022.11. 30.518537, 2022 | 8 | 2022 |
| System and method for privacy-preserving distributed training of neural network models on distributed datasets S Sav, JR Troncoso-Pastoriza, A Pyrgelis, D Froelicher, JGDSE Sousa, ... US Patent App. 18/043,186, 2023 | 7 | 2023 |
| Yongha Son, Yongsoo Song, Juan Troncoso-Pastoriza, and Xiaoqian Jiang. 2020. Ultra-Fast Homomorphic Encryption Models enable Secure Outsourcing of Genotype Imputation M Kim, A Harmanci, JP Bossuat, S Carpov, JH Cheon, I Chillotti, W Cho, ... bioRxiv, 2020 | 6 | 2020 |
| SPORT: sharing proofs of retrievability across tenants F Armknecht, JM Bohli, D Froelicher, GO Karame Cryptology ePrint Archive, 2016 | 5 | 2016 |
| sfkit: a web-based toolkit for secure and federated genomic analysis S Mendelsohn, D Froelicher, D Loginov, D Bernick, B Berger, H Cho Nucleic Acids Research 51 (W1), W535-W541, 2023 | 4 | 2023 |
| Secure Discovery of Genetic Relatives across Large-Scale and Distributed Genomic Datasets MM Hong, D Froelicher, R Magner, V Popic, B Berger, H Cho International Conference on Research in Computational Molecular Biology, 308-313, 2024 | 2 | 2024 |
| Privacy-enhancing technologies in biomedical data science H Cho, D Froelicher, N Dokmai, A Nandi, S Sadhuka, MM Hong, B Berger Annual review of biomedical data science 7 (1), 317-343, 2024 | 1 | 2024 |
| i-SEAL2: Identifying Spam EmAiL with SEAL I Demertzis, D Froelicher, N Luo, MN Hovd Protecting Privacy through Homomorphic Encryption, 129-132, 2021 | 1 | 2021 |
| Privacy-preserving data sharing and computation across multiple data providers with homomorphic encryption J Troncoso-Pastoriza, D Froelicher, P Hu, A Aloufi, JP Hubaux Protecting Privacy through Homomorphic Encryption, 65-80, 2021 | 1 | 2021 |
