Zobrazeno 1 - 10
of 51
pro vyhledávání: '"Yongsoo Song"'
Publikováno v:
Scientific Reports, Vol 14, Iss 1, Pp 1-13 (2024)
Abstract 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 Homomorphic
Externí odkaz:
https://doaj.org/article/18a7e840ac1d4b798baf17bf8b11f8bc
Publikováno v:
BMC Medical Genomics, Vol 13, Iss S7, Pp 1-13 (2020)
Abstract 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 samples can identify disease-ca
Externí odkaz:
https://doaj.org/article/700906f90b0b4669b91e6bbe8494a165
Publikováno v:
Journal of Medical Internet Research, Vol 23, Iss 7, p e26371 (2021)
BackgroundVarious 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 the location history of patients with C
Externí odkaz:
https://doaj.org/article/f3b091f2ad914199b66dd9fc537297cc
Publikováno v:
BMC Medical Genomics, Vol 11, Iss S4, Pp 23-31 (2018)
Abstract 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 which contain sensitive information a
Externí odkaz:
https://doaj.org/article/c15804fafe114ba0a38f959820a2c3e9
Autor:
Jung Hee Cheon, Kyoohyung Han, Seong-Min Hong, Hyoun Jin Kim, Junsoo Kim, Suseong Kim, Hosung Seo, Hyungbo Shim, Yongsoo Song
Publikováno v:
IEEE Access, Vol 6, Pp 24325-24339 (2018)
Controlling or accessing remotely has become a prevalent form of operating numerous types of platforms and infrastructure. An exploding number of vehicles such as drones or cars, in particular, are being controlled wirelessly or connected through net
Externí odkaz:
https://doaj.org/article/3eff6f23e14c4099bba3842dedbb6a5b
Publikováno v:
IEEE Access, Vol 6, Pp 46938-46948 (2018)
Homomorphic encryption (HE) is one of promising cryptographic candidates resolving privacy issues in machine learning on sensitive data such as biomedical data and financial data. However, HE-based solutions commonly suffer from relatively high compu
Externí odkaz:
https://doaj.org/article/e8a2fde356aa4771a47cd18e3f37b9ca
Publikováno v:
BMC Medical Genomics, Vol 10, Iss S2, Pp 69-76 (2017)
Abstract 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. We are interested in designing a protocol for the se
Externí odkaz:
https://doaj.org/article/a957acb5e66148e8abcb279cbc4fde8c
Publikováno v:
Annual Reviews in Control. 54:200-218
Autor:
Jung Hee Cheon, Anamaria Costache, Radames Cruz Moreno, Wei Dai, Nicolas Gama, Mariya Georgieva, Shai Halevi, Miran Kim, Sunwoong Kim, Kim Laine, Yuriy Polyakov, Yongsoo Song
Publikováno v:
Protecting Privacy through Homomorphic Encryption ISBN: 9783030772864
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::97d1284bac289537e8cac5dfd305194c
https://doi.org/10.1007/978-3-030-77287-1_15
https://doi.org/10.1007/978-3-030-77287-1_15
As the cost of DNA sequencing is decreasing, personal genomic data is becoming more abundant. Genomic data is known to be very identifying; even a few genetic mutations can identify an individual. Therefore, leakage of genetic information and the ass
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::80436d7ae9608849c312a0cbd205e262
https://doi.org/10.21203/rs.3.rs-954109/v1
https://doi.org/10.21203/rs.3.rs-954109/v1