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אקדמי בכיר

Nearly-Linear Time Seeded Extractors With Short Seeds

Dean Doron, João Ribeiro

Seeded extractors are fundamental objects in pseudorandomness and cryptography, and a deep line of work has designed polynomial-time seeded extractors with nearly-optimal parameters. However, existing constructions of seeded extractors with short seed length and large output length run in time Ω(n log(1/ε)) and often slower, where n is the input source length and ε is the error of the extractor. Since cryptographic applications of extractors require ε to be small, the resulting runtime makes these extractors impractical. Motivated by this, we explore constructions of strong seeded extractors with short seeds computable in nearly-linear time O(n logc n), for any error ε. We show that an appropriate combination of modern condensers and classical approaches for constructing seeded extractors for high min-entropy sources yields such extractors. More precisely, we obtain strong extractors for n-bit sources with any min-entropy k and any target error ε with seed length d = O(log(n/ε)) and output length m = (1−η)k for an arbitrarily small constant η > 0, running in nearly-linear time. When k or ε are very small, our construction requires a reasonable one-time preprocessing step. These extractors directly yield privacy amplification protocols with nearly-linear time complexity (possibly after a one-time preprocessing step), large output length, and low communication complexity. As a second contribution, we give an instantiation of Trevisan’s extractor that can be evaluated in truly linear time in the RAM model, as long as the number of output bits is at most (Formula presented). Previous fast implementations of Trevisan’s extractor ran in Õ(n) time in this setting.

שפת פרסום אנגלית
דפים 9028-9054
כתב עת IEEE Transactions on Information Theory
כרך 71
נושא מספר 11
סטטוס פרסום פורסם - 01.01.2025

Keywords

Seeded randomness extractors
nearly-linear time algorithms
privacy amplification
short seeds

ASJC Scopus subject areas

Information Systems
Computer Science Applications
Library and Information Sciences
גישה למסמך
10.1109/TIT.2025.3605160
קבצים וקישורים אחרים
Link to publication in Scopus