David Froelicher's Personal Page
David Froelicher's Personal Page
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Privacy-Enhancing Technologies in Biomedical Data Science
The rapidly growing scale and variety of biomedical data repositories raise important privacy concerns. Conventional frameworks for …
H. Cho
,
David Froelicher
,
N. Dokmai
,
A. Nandi
,
S. Sadhuka
,
M. Man-Hou Hong
,
B. Berger
PDF
Link
Secure and Federated Genome-Wide Association Studies for Biobank-Scale Datasets
Sharing data across multiple institutions for genome-wide association studies (GWAS) would enable discovery of novel genetic variants …
H. Cho
,
David Froelicher
,
J. Chen
,
M. Edupalli
,
A. Pyrgelis
,
J. R. Troncoso-Pastoriza
,
J.-P. Hubaux
,
B. Berger
PDF
Cite
Code
Link
sfkit: A Web-Based Toolkit for Secure and Federated Genomic Analysis
Advances in genomics are increasingly depending upon the ability to analyze large and diverse genomic data collections, which are often …
S. Mendelsohn
,
David Froelicher
,
D. Loginov
,
D. Bernick
,
B. Berger
,
H. Cho
PDF
Cite
Link
Truly Privacy-Preserving Federated Analytics for Precision Medicine with Multiparty Homomorphic Encryption
Using real-world evidence in biomedical research, an indispensable complement to clinical trials, requires access to large quantities …
David Froelicher
,
J. R. Troncoso-Pastoriza
,
J. L. Raisaro
,
M. Cuendet
,
J. S. Sousa
,
H. Cho
,
B. Berger
,
J. Fellay
,
J.-P. Hubaux
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Cite
Link
Ultra-Fast Homomorphic Encryption Models enable Secure Outsourcing of Genotype Imputation
Genotype imputation is a fundamental step in genomic data analysis, where missing variant genotypes are predicted using the existing …
M. Kim
,
A.Harmanci
,
J.-P. Bossuat
,
S. Carpov
,
J. H. Cheon
,
I. Chillotti
,
W. Cho
,
David Froelicher
,
N. Gama
,
M. Georgieva
,
S. Hong
,
J.-P. Hubaux
,
D. Kim
,
K. Lauter
,
Y. Ma
,
L. Ohno-Machado
,
H. Sofia
,
Y. Son
,
Y. Song
,
J. Troncoso-Pastoriza
,
X. Jiang
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Link
Code
MedCo^2: Privacy-Preserving Cohort Exploration and Analysis
David Froelicher
,
M. Misbach
,
J. R. Troncoso-Pastoriza
,
J.L. Raisaro
,
J.-P. Hubaux
PDF
Cite
Drynx: Decentralized, Secure, Verifiable System for Statistical Queries and Machine Learning on Distributed Datasets
Data sharing has become of primary importance in many domains such as big-data analytics, economics and medical re- search, but remains …
David Froelicher
,
J.R. Troncoso-Pastoriza
,
J.S. Sousa
,
J.P. Hubaux
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