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Simultaneous Diagonalization of Incomplete Matrices and Applications
We consider the problem of recovering the entries of diagonal matrices \(\{U_a\}_a\) for \(a = 1,\ldots,t\) from multiple "incomplete" samples \(\{W_a\}_a\) of the form \(W_a=PU_aQ\), where \(P\) and \(Q\) are unknown matrices of low rank. We devise practical algorithms for this problem de...
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Published in: | arXiv.org 2020-05 |
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Main Authors: | , , |
Format: | Article |
Language: | English |
Subjects: | |
Online Access: | Get full text |
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Summary: | We consider the problem of recovering the entries of diagonal matrices \(\{U_a\}_a\) for \(a = 1,\ldots,t\) from multiple "incomplete" samples \(\{W_a\}_a\) of the form \(W_a=PU_aQ\), where \(P\) and \(Q\) are unknown matrices of low rank. We devise practical algorithms for this problem depending on the ranks of \(P\) and \(Q\). This problem finds its motivation in cryptanalysis: we show how to significantly improve previous algorithms for solving the approximate common divisor problem and breaking CLT13 cryptographic multilinear maps. |
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ISSN: | 2331-8422 |