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1. Multiparty Computation: To Secure Privacy, Do the Math: A discussion with Nigel Smart, Joshua W. Baron, Sanjay Saravanan, Jordan Brandt, and Atefeh Mashatan.

Author

Smart, Nigel, Baron, Joshua W., Saravanan, Sanjay, Brandt, Jordan, and Mashatan, Atefeh

Subjects
MATHEMATICS, PRIVACY, DATA protection
Abstract

Multiparty Computation is based on complex math, and over the past decade, MPC has been harnessed as one of the most powerful tools available for the protection of sensitive data. MPC now serves as the basis for protocols that let a set of parties interact and compute on a pool of private inputs without revealing any of the data contained within those inputs. In the end, only the results are revealed. The implications of this can often prove profound. [ABSTRACT FROM AUTHOR]

Published
2023
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