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- W4312306572 abstract "The random oracle methodology is central to the design of many practical cryptosystems. A common challenge faced in several systems is the need to have a random oracle that outputs from a structured distribution $$mathcal {D} $$ , even though most heuristic implementations such as SHA-3 are best suited for outputting bitstrings. Our work explores the problem of sampling from discrete Gaussian (and related) distributions in a manner that they can be programmed into random oracles. We make the following contributions:" @default.
- W4312306572 created "2023-01-04" @default.
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- W4312306572 date "2022-01-01" @default.
- W4312306572 modified "2023-09-26" @default.
- W4312306572 title "How to Sample a Discrete Gaussian (and more) from a Random Oracle" @default.
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- W4312306572 doi "https://doi.org/10.1007/978-3-031-22365-5_23" @default.
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