Construct · 1 fields · 1 citations

learning parity with noise: a standalone construct

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Cryptography

the problem of recovering a secret binary vector from random inner products with it that are each flipped with some fixed probability.

In cryptography, learning parity with noise refers to the problem of recovering a secret binary vector from random inner products with it that are each flipped with some fixed probability. This meaning comes from Blum (2003) in Journal of the ACM.[1]

Unit
Recovery means
Measured by

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Nearby constructs

learning6 fields · 14 citationsjingle · one name, six constructs noise4 fields · 5 citationsjingle · one word, four constructs parity4 fields · 5 citationsjingle · one word, four constructs

References

Blum, A., Kalai, A., & Wasserman, H. (2003). Noise-tolerant learning, the parity problem, and the statistical query model. Journal of the ACM, 50(4), 506-519. https://doi.org/10.1145/792538.792543

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