Confidential benchmarking based on multiparty computation

Research output: Chapter in Book/Report/Conference proceedingArticle in proceedingsResearchpeer-review

Standard

Confidential benchmarking based on multiparty computation. / Damgård, Ivan; Damgård, Kasper Lyneborg; Nielsen, Kurt; Nordholt, Peter Sebastian; Toft, Tomas.

International Conference on Financial Cryptography and Data Security. ed. / Jens Grossklags; Bart Preneel. Springer, 2017. p. 169-187 (Lecture notes in computer science, Vol. 9603).

Research output: Chapter in Book/Report/Conference proceedingArticle in proceedingsResearchpeer-review

Harvard

Damgård, I, Damgård, KL, Nielsen, K, Nordholt, PS & Toft, T 2017, Confidential benchmarking based on multiparty computation. in J Grossklags & B Preneel (eds), International Conference on Financial Cryptography and Data Security. Springer, Lecture notes in computer science, vol. 9603, pp. 169-187, Financial Cryptography and Data Security, International Conference, 2016, Christ Church, Barbados, 22/02/2016. https://doi.org/10.1007/978-3-662-54970-4_10

APA

Damgård, I., Damgård, K. L., Nielsen, K., Nordholt, P. S., & Toft, T. (2017). Confidential benchmarking based on multiparty computation. In J. Grossklags, & B. Preneel (Eds.), International Conference on Financial Cryptography and Data Security (pp. 169-187). Springer. Lecture notes in computer science Vol. 9603 https://doi.org/10.1007/978-3-662-54970-4_10

Vancouver

Damgård I, Damgård KL, Nielsen K, Nordholt PS, Toft T. Confidential benchmarking based on multiparty computation. In Grossklags J, Preneel B, editors, International Conference on Financial Cryptography and Data Security. Springer. 2017. p. 169-187. (Lecture notes in computer science, Vol. 9603). https://doi.org/10.1007/978-3-662-54970-4_10

Author

Damgård, Ivan ; Damgård, Kasper Lyneborg ; Nielsen, Kurt ; Nordholt, Peter Sebastian ; Toft, Tomas. / Confidential benchmarking based on multiparty computation. International Conference on Financial Cryptography and Data Security. editor / Jens Grossklags ; Bart Preneel. Springer, 2017. pp. 169-187 (Lecture notes in computer science, Vol. 9603).

Bibtex

@inproceedings{05a3d22f0a984e909e42693f58172daa,
title = "Confidential benchmarking based on multiparty computation",
author = "Ivan Damg{\aa}rd and Damg{\aa}rd, {Kasper Lyneborg} and Kurt Nielsen and Nordholt, {Peter Sebastian} and Tomas Toft",
year = "2017",
doi = "10.1007/978-3-662-54970-4_10",
language = "English",
isbn = "978-3-662-54970-4",
series = "Lecture notes in computer science",
publisher = "Springer",
pages = "169--187",
editor = "Jens Grossklags and Bart Preneel",
booktitle = "International Conference on Financial Cryptography and Data Security",
address = "Switzerland",
note = "Financial Cryptography and Data Security, International Conference, 2016, FC 2016 ; Conference date: 22-02-2016 Through 26-02-2016",

}

RIS

TY - GEN

T1 - Confidential benchmarking based on multiparty computation

AU - Damgård, Ivan

AU - Damgård, Kasper Lyneborg

AU - Nielsen, Kurt

AU - Nordholt, Peter Sebastian

AU - Toft, Tomas

N1 - Conference code: 20

PY - 2017

Y1 - 2017

U2 - 10.1007/978-3-662-54970-4_10

DO - 10.1007/978-3-662-54970-4_10

M3 - Article in proceedings

SN - 978-3-662-54970-4

T3 - Lecture notes in computer science

SP - 169

EP - 187

BT - International Conference on Financial Cryptography and Data Security

A2 - Grossklags, Jens

A2 - Preneel, Bart

PB - Springer

T2 - Financial Cryptography and Data Security, International Conference, 2016

Y2 - 22 February 2016 through 26 February 2016

ER -

ID: 182418621