Large-scale privacy-preserving statistical computations for distributed genome-wide association studies

Oleksandr Tkachenko; Thomas Schneider; Christian Weinert; Kay Hamacher

doi:10.1145/3196494.3196541

Large-scale privacy-preserving statistical computations for distributed genome-wide association studies

Oleksandr Tkachenko, Thomas Schneider, Christian Weinert, Kay Hamacher

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

Original language	English
Title of host publication	ASIACCS 2018 - Proceedings of the 2018 ACM Asia Conference on Computer and Communications Security
Publisher	Association for Computing Machinery, Inc
Pages	221-235
Number of pages	15
ISBN (Electronic)	9781450355766
DOIs	https://doi.org/10.1145/3196494.3196541
Publication status	Published - 29 May 2018
Externally published	Yes
Event	13th ACM Symposium on Information, Computer and Communications Security, ASIACCS 2018 - Incheon, Korea, Republic of Duration: 4 Jun 2018 → 8 Jun 2018

Publication series

Name	ASIACCS 2018 - Proceedings of the 2018 ACM Asia Conference on Computer and Communications Security

Conference

Conference	13th ACM Symposium on Information, Computer and Communications Security, ASIACCS 2018
Country/Territory	Korea, Republic of
City	Incheon
Period	4/06/18 → 8/06/18

Keywords

Efficiency
Genetic algorithms
Outsourcing
Privacy
Secure computation
Statistics

Access to Document

10.1145/3196494.3196541

Cite this

Tkachenko, O., Schneider, T., Weinert, C., & Hamacher, K. (2018). Large-scale privacy-preserving statistical computations for distributed genome-wide association studies. In ASIACCS 2018 - Proceedings of the 2018 ACM Asia Conference on Computer and Communications Security (pp. 221-235). (ASIACCS 2018 - Proceedings of the 2018 ACM Asia Conference on Computer and Communications Security). Association for Computing Machinery, Inc. https://doi.org/10.1145/3196494.3196541

Tkachenko, Oleksandr ; Schneider, Thomas ; Weinert, Christian et al. / Large-scale privacy-preserving statistical computations for distributed genome-wide association studies. ASIACCS 2018 - Proceedings of the 2018 ACM Asia Conference on Computer and Communications Security. Association for Computing Machinery, Inc, 2018. pp. 221-235 (ASIACCS 2018 - Proceedings of the 2018 ACM Asia Conference on Computer and Communications Security).

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title = "Large-scale privacy-preserving statistical computations for distributed genome-wide association studies",

keywords = "Efficiency, Genetic algorithms, Outsourcing, Privacy, Secure computation, Statistics",

author = "Oleksandr Tkachenko and Thomas Schneider and Christian Weinert and Kay Hamacher",

note = "Publisher Copyright: {\textcopyright} 2018 Association for Computing Machinery.; 13th ACM Symposium on Information, Computer and Communications Security, ASIACCS 2018 ; Conference date: 04-06-2018 Through 08-06-2018",

year = "2018",

month = may,

day = "29",

doi = "10.1145/3196494.3196541",

language = "English",

series = "ASIACCS 2018 - Proceedings of the 2018 ACM Asia Conference on Computer and Communications Security",

publisher = "Association for Computing Machinery, Inc",

pages = "221--235",

booktitle = "ASIACCS 2018 - Proceedings of the 2018 ACM Asia Conference on Computer and Communications Security",

}

Tkachenko, O, Schneider, T, Weinert, C & Hamacher, K 2018, Large-scale privacy-preserving statistical computations for distributed genome-wide association studies. in ASIACCS 2018 - Proceedings of the 2018 ACM Asia Conference on Computer and Communications Security. ASIACCS 2018 - Proceedings of the 2018 ACM Asia Conference on Computer and Communications Security, Association for Computing Machinery, Inc, pp. 221-235, 13th ACM Symposium on Information, Computer and Communications Security, ASIACCS 2018, Incheon, Korea, Republic of, 4/06/18. https://doi.org/10.1145/3196494.3196541

Large-scale privacy-preserving statistical computations for distributed genome-wide association studies. / Tkachenko, Oleksandr; Schneider, Thomas; Weinert, Christian et al.
ASIACCS 2018 - Proceedings of the 2018 ACM Asia Conference on Computer and Communications Security. Association for Computing Machinery, Inc, 2018. p. 221-235 (ASIACCS 2018 - Proceedings of the 2018 ACM Asia Conference on Computer and Communications Security).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

TY - GEN

T1 - Large-scale privacy-preserving statistical computations for distributed genome-wide association studies

AU - Tkachenko, Oleksandr

AU - Schneider, Thomas

AU - Weinert, Christian

AU - Hamacher, Kay

PY - 2018/5/29

Y1 - 2018/5/29

KW - Efficiency

KW - Genetic algorithms

KW - Outsourcing

KW - Privacy

KW - Secure computation

KW - Statistics

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U2 - 10.1145/3196494.3196541

DO - 10.1145/3196494.3196541

M3 - Conference contribution

AN - SCOPUS:85049156981

T3 - ASIACCS 2018 - Proceedings of the 2018 ACM Asia Conference on Computer and Communications Security

SP - 221

EP - 235

BT - ASIACCS 2018 - Proceedings of the 2018 ACM Asia Conference on Computer and Communications Security

PB - Association for Computing Machinery, Inc

T2 - 13th ACM Symposium on Information, Computer and Communications Security, ASIACCS 2018

Y2 - 4 June 2018 through 8 June 2018

ER -

Tkachenko O, Schneider T, Weinert C, Hamacher K. Large-scale privacy-preserving statistical computations for distributed genome-wide association studies. In ASIACCS 2018 - Proceedings of the 2018 ACM Asia Conference on Computer and Communications Security. Association for Computing Machinery, Inc. 2018. p. 221-235. (ASIACCS 2018 - Proceedings of the 2018 ACM Asia Conference on Computer and Communications Security). doi: 10.1145/3196494.3196541

Large-scale privacy-preserving statistical computations for distributed genome-wide association studies

Publication series

Conference

Keywords

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