Follow
David Froelicher
David Froelicher
Post-Doctoral Researcher
Verified email at mit.edu - Homepage
Title
Cited by
Cited by
Year
POSEIDON: Privacy-preserving federated neural network learning
S Sav, A Pyrgelis, JR Troncoso-Pastoriza, D Froelicher, JP Bossuat, ...
arXiv preprint arXiv:2009.00349, 2020
1542020
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
1202021
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
792017
Scalable privacy-preserving distributed learning
D Froelicher, JR Troncoso-Pastoriza, A Pyrgelis, S Sav, JS Sousa, ...
arXiv preprint arXiv:2005.09532, 2020
652020
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
632020
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
572021
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
122017
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
102020
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
92023
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
9
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
62022
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
62020
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
42023
SPORT: sharing proofs of retrievability across tenants
F Armknecht, JM Bohli, D Froelicher, GO Karame
Cryptology ePrint Archive, 2016
42016
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
22023
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
12023
i-SEAL2: Identifying Spam EmAiL with SEAL
I Demertzis, D Froelicher, N Luo, MN Hovd
Protecting Privacy through Homomorphic Encryption, 129-132, 2021
12021
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
12021
Privacy-Preserving Federated Analytics using Multiparty Homomorphic Encryption
DJ Froelicher
EPFL, 2021
12021
Secure Discovery of Genetic Relatives across Large-Scale and Distributed Genomic Datasets
MMH Hong, D Froelicher, R Magner, V Popic, B Berger, H Cho
bioRxiv, 2024.02. 16.580613, 2024
2024
The system can't perform the operation now. Try again later.
Articles 1–20