secure multiparty computation
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Submitted by aekwall on Wed, 09/04/2019 - 11:16am
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Submitted by grigby1 on Mon, 08/12/2019 - 3:23pm
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Submitted by willirn1 on Thu, 07/11/2019 - 4:03pm
Call for Papers
10th ACM Conference on Data and Application Security and Privacy (CODASPY 2020)
The conference will be held on March 16-18, 2020 in New Orleans, LA, USA.
Website: http://www.codaspy.org/2020/
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Submitted by grigby1 on Thu, 03/28/2019 - 3:17pm
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Submitted by aekwall on Mon, 03/25/2019 - 9:56am
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Submitted by grigby1 on Wed, 11/14/2018 - 1:19pm
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Submitted by grigby1 on Mon, 11/27/2017 - 12:06pm
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Submitted by Muthuramakrishn V... on Tue, 10/10/2017 - 11:16am
Secure multi-party computation (SMC) allows several mutually untrusting parties to perform joint computations while keeping their inputs private. This project develops new techniques for constructing two-party secure computation protocols with low communication overhead. Building on the PIs prior work for constructing special-purpose secure computation protocols for greedy algorithms, this project aims to develop new techniques that exploit the algorithmic structure of a function in order to develop more efficient secure computation protocols.
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Submitted by grigby1 on Fri, 08/18/2017 - 1:55pm
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Submitted by grigby1 on Mon, 07/24/2017 - 2:10pm