Applications of Tensor Decompositions to Secure Multiparty Computations
Project/Area Number |
23700007
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Research Category |
Grant-in-Aid for Young Scientists (B)
|
Allocation Type | Multi-year Fund |
Research Field |
Fundamental theory of informatics
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Research Institution | Tohoku University |
Principal Investigator |
MIZUKI Takaaki 東北大学, サイバーサイエンスセンター, 准教授 (90323089)
|
Project Period (FY) |
2011 – 2013
|
Project Status |
Completed (Fiscal Year 2013)
|
Budget Amount *help |
¥4,160,000 (Direct Cost: ¥3,200,000、Indirect Cost: ¥960,000)
Fiscal Year 2013: ¥1,560,000 (Direct Cost: ¥1,200,000、Indirect Cost: ¥360,000)
Fiscal Year 2012: ¥1,300,000 (Direct Cost: ¥1,000,000、Indirect Cost: ¥300,000)
Fiscal Year 2011: ¥1,300,000 (Direct Cost: ¥1,000,000、Indirect Cost: ¥300,000)
|
Keywords | アルゴリズム理論 / アルゴリズム / 暗号・認証等 / ネットワーク |
Research Abstract |
Assume that there are players holding private inputs, and that they want to learn the output of a desired function without revealing their inputs: this is called a secure multiparty computation. It is known that tensor decompositions such as XOR expansions can be utilized for secure multiparty computations. One of the main results was to improve the efficiency of secure multiparty computations by using such XOR expansions and other representations.
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Report
(4 results)
Research Products
(15 results)