Zobrazeno 1 - 5
of 5
pro vyhledávání: '"Riivo Talviste"'
Publikováno v:
Proceedings on Privacy Enhancing Technologies, Vol 2016, Iss 3, Pp 117-135 (2016)
We describe the use of secure multi-party computation for performing a large-scale privacy-preserving statistical study on real government data. In 2015, statisticians from the Estonian Center of Applied Research (CentAR) conducted a big data study t
Publikováno v:
Secure IT Systems ISBN: 9783319115986
NordSec
NordSec
Cryptographic secure computing methods like secure multi-party computation, circuit garbling and homomorphic encryption are becoming practical enough to be usable in applications. Such applications need special data-independent sorting algorithms to
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::3234906351c8fb18bab7ff1207000c24
https://doi.org/10.1007/978-3-319-11599-3_4
https://doi.org/10.1007/978-3-319-11599-3_4
Autor:
Pille Pruulmann-Vengerfeldt, Dan Bogdanov, Riivo Talviste, Sven Laur, Liina Kamm, Jan Willemson
Publikováno v:
Privacy Technologies and Policy ISBN: 9783319067483
APF
APF
The quality of empirical statistical studies is tightly related to the quality and amount of source data available. However, it is often hard to collect data from several sources due to privacy requirements or a lack of trust. In this paper, we propo
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::447c32b0243b07464b79c7cfbbd263f7
https://doi.org/10.1007/978-3-319-06749-0_3
https://doi.org/10.1007/978-3-319-06749-0_3
Publikováno v:
Applied Cryptography and Network Security ISBN: 9783642389795
ACNS
ACNS
AES block cipher is an important cryptographic primitive with many applications. In this work, we describe how to efficiently implement the AES-128 block cipher in the multiparty setting where the key and the plaintext are both in a secret-shared for
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::818b1e430036f56ca01335d2efd83400
Publikováno v:
Financial Cryptography and Data Security ISBN: 9783642329456
Financial Cryptography
Financial Cryptography
We show how to collect and analyze financial data for a consortium of ICT companies using secret sharing and secure multi-party computation (MPC). This is the first time where the actual MPC computation on real data was done over the internet with co
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::0a294e8f71f450167411a44249752066
https://doi.org/10.1007/978-3-642-32946-3_5
https://doi.org/10.1007/978-3-642-32946-3_5