Yongsoo Song
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Explore the profile of Yongsoo Song including associated specialties, affiliations and a list of published articles.
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Articles
11
Citations
95
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Recent Articles
1.
Kang D, Kim D, Song Y, Lee D, Kwak H, Anthony B
Sci Rep
. 2024 Jun;
14(1):13626.
PMID: 38871748
In this manuscript, we develop a multi-party framework tailored for multiple data contributors seeking machine learning insights from combined data sources. Grounded in statistical learning principles, we introduce the Multi-Key...
2.
Kim M, Harmanci A, Bossuat J, Carpov S, Cheon J, Chillotti I, et al.
Cell Syst
. 2021 Aug;
12(11):1108-1120.e4.
PMID: 34464590
Genotype imputation is a fundamental step in genomic data analysis, where missing variant genotypes are predicted using the existing genotypes of nearby "tag" variants. Although researchers can outsource genotype imputation,...
3.
An Y, Lee S, Jung S, Park H, Song Y, Ko T
J Med Internet Res
. 2021 May;
23(7):e26371.
PMID: 33999829
Background: Various techniques are used to support contact tracing, which has been shown to be highly effective against the COVID-19 pandemic. To apply the technology, either quarantine authorities should provide...
4.
Cheon J, Han K, Kim A, Kim M, Song Y
Sel Areas Cryptogr
. 2021 Apr;
11349:347-368.
PMID: 33870337
The technology of homomorphic encryption has improved rapidly in a few years. The cutting edge implementations are efficient enough to use in practical applications. Recently, Cheon et al. (ASI-ACRYPT'17) proposed...
5.
Kim M, Song Y, Li B, Micciancio D
BMC Med Genomics
. 2020 Jul;
13(Suppl 7):99.
PMID: 32693798
Background: The sharing of biomedical data is crucial to enable scientific discoveries across institutions and improve health care. For example, genome-wide association studies (GWAS) based on a large number of...
6.
Jiang X, Kim M, Lauter K, Song Y
Conf Comput Commun Secur
. 2019 Aug;
2018:1209-1222.
PMID: 31404438
Homomorphic Encryption (HE) is a powerful cryptographic primitive to address privacy and security issues in outsourcing computation on sensitive data to an untrusted computation environment. Comparing to secure Multi-Party Computation...
7.
Kim A, Song Y, Kim M, Lee K, Cheon J
BMC Med Genomics
. 2018 Oct;
11(Suppl 4):83.
PMID: 30309349
Background: Security concerns have been raised since big data became a prominent tool in data analysis. For instance, many machine learning algorithms aim to generate prediction models using training data...
8.
Jiang Y, Hamer J, Wang C, Jiang X, Kim M, Song Y, et al.
IEEE/ACM Trans Comput Biol Bioinform
. 2018 Jul;
16(1):113-123.
PMID: 29994005
Machine learning applications are intensively utilized in various science fields, and increasingly the biomedical and healthcare sector. Applying predictive modeling to biomedical data introduces privacy and security concerns requiring additional...
9.
Kim M, Song Y, Wang S, Xia Y, Jiang X
JMIR Med Inform
. 2018 Apr;
6(2):e19.
PMID: 29666041
Background: Learning a model without accessing raw data has been an intriguing idea to security and machine learning researchers for years. In an ideal setting, we want to encrypt sensitive...
10.
Kim M, Song Y, Cheon J
BMC Med Genomics
. 2017 Aug;
10(Suppl 2):42.
PMID: 28786366
Background: As genome sequencing technology develops rapidly, there has lately been an increasing need to keep genomic data secure even when stored in the cloud and still used for research....