Extracting Randomness from Extractor-Dependent Sources

© International Association for Cryptologic Research 2020. We revisit the well-studied problem of extracting nearly uniform randomness from an arbitrary source of sufficient min-entropy. Strong seeded extractors solve this problem by relying on a public random seed, which is unknown to the source. H...

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Bibliographic Details
Main Authors: Dodis, Yevgeniy, Vaikuntanathan, Vinod, Wichs, Daniel
Other Authors: Massachusetts Institute of Technology. Computer Science and Artificial Intelligence Laboratory
Format: Article
Language:English
Published: Springer International Publishing 2021
Online Access:https://hdl.handle.net/1721.1/137257

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