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nhigham.com | ||
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blog.autarkaw.com
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www.karlrupp.net
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www.jeremykun.com
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| | | | | The singular value decomposition (SVD) of a matrix is a fundamental tool in computer science, data analysis, and statistics. It's used for all kinds of applications from regression to prediction, to finding approximate solutions to optimization problems. In this series of two posts we'll motivate, define, compute, and use the singular value decomposition to analyze some data. (Jump to the second post) I want to spend the first post entirely on motivation and background. | |
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martinralbrecht.wordpress.com
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| | | Together with Lenka Mareková, Kenny Paterson, Eyal Ronen and Igors Stepanovs, we have finally completed our (first, formal, in-depth, computational) analysis of the Telegram key exchange. This work is going to be presented at Eurocrypt 2025 in Madrid. Abstract. We describe, formally model, and prove the security of Telegram's key exchange protocols for client-server communications.... | ||
