Advancing Secure Computation: Efficient Protocols for Linear Algebra

This paper explores practical advancements in secure computation, focusing on efficient protocols for secure linear algebra, which have significant implications for applications such as mining large genomic databases.

Microsoft Research77 views41:29

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Secure Computation has been a classic and central question in modern cryptography with a large set of potential applications. Mining large genomic databases, private scientific computation, and studying properties of shared networks are just a few examples. Unfortunately, the majority of the constructions in this area have not made their way into practice, primarily due to their inefficiency. In this talk, I first outline three different approaches toward designing more practical protocols, and briefly describe some of our results in each direction. I will then focus on one approach and the problem of Secure

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Sep 6, 2016

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