Secure Multiparty Computation Goes Live

By Peter Bogetoft, Dan Lund Christensen, Ivan Bjerre Damgård, M. Geisler, Thomas P. Jakobsen, Mikkel Krøigaard, Janus Dam Nielsen, Jesper Buus Nielsen, K. Nielsen, J. Pagter and 2 more. 2009

606 citations recorded by the source corpus.

Subfields: Artificial Intelligence, Computational Theory and Mathematics

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Citations in the corpus

Advances and Open Problems in Federated Learning (2019, background): “There is a rich literature exploring secure aggregation in both the single-server setting (via pairwise additive masking [12, 188, 73], via threshold homomorphic encryption [356, 193, 92], and via generic secure multi-party computation [86]) as well as in the multiple non-colluding servers setting [”
Deploying Secure Multi-Party Computation for Financial Data Analysis - (Short Paper) (2012, methodology): “MPC has been studied for almost thirty years and recently, many MPC projects have started reaching practical results [9,10,1,7,13,15,4,11].”
Billion-Gate Secure Computation with Malicious Adversaries (2012, background): “The more general case of multiparty computation has already seen real-world use in computing market clearing prices in Denmark [2].”
Fast and Secure Three-party Computation: The Garbled Circuit Approach (2015, methodology): “They have also been deployed in practice for online beet auctions [BCD + 09] and for ﬁnancial data analysis [BTW12].”
On Deploying Secure Computing Commercially: Private Intersection-Sum Protocols and their Business Applications (2019, background): “One of the first was the widely-cited Danish Sugar Beet Auction [7].”
Practical Secure Aggregation for Privacy-Preserving Machine Learning (2017, background): “To overcome the constraints of client devices, some previous work has suggested that clients distribute their trust across multiple non-colluding servers, and this has been deployed in real-world applications [11].”
Privacy-Preserving Biometric Identification Using Secure Multiparty Computation: An Overview and Recent Trends (2013, background): “Such techniques are even already being used in real-life applications [7].”
High-performance secure multi-party computation for data mining applications (2012, background): “The first published application of MPC was the Danisco sugar beet auction held in 2008 [5].”
SEPIA: Privacy-Preserving Aggregation of Multi-Domain Network Events and Statistics (2010, methodology): “, an actual sugar-beet auction [7] was demon-”
Secure Multiparty Computations on Bitcoin (2014, neutral): “76 COMMUNICATIONS OF THE ACM | APRIL 2016 | VOL. 59 | NO. 4”
Security and Privacy on Blockchain (2019, background): “The first large-scale deployment of MPC was in 2008 for an actual auction problem in Denmark [19].”
Efficient Garbling from a Fixed-Key Blockcipher (2013, background): “Beginning with Fairplay [32], a bit of a cottage industry has emerged to improve the efficiency and practicality of GC-based MPC [2, 7, 9, 10, 12, 17, 22– 24, 28, 29, 31, 36, 37].”
Secure Two-Party Computation is Practical (2009, methodology): “However in the last few years a number of practical implementations have appeared [3, 5, 6, 22, 24].”
L1 - An Intermediate Language for Mixed-Protocol Secure Computation (2011, background): “In some cases [6], [14] it is already known that SC protocols can be quite efficiently parallelized capitalizing on the trend to multi-core CPUs.”