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Learning with errors
Mathematical problem in cryptography
Learning with errors
In cryptography, learning with errors (LWE) is a mathematical problem that is widely used to create secure encryption algorithms. It is based on the idea of representing secret information as a set of equations with errors. In other words, LWE is a way to hide the value of a secret by introducing noise to it. In more technical terms, it refers to the computational problem of inferring a linear n {\displaystyle n} -ary function f {\displaystyle f} over a finite ring from given samples y i = f ( x i ) {\displaystyle y_{i}=f(\mathbf {x} _{i})} some of which may be erroneous. The LWE problem is conjectured to be hard to solve, and thus to be useful in cryptography. More precisely, the LWE problem...
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