Optimal PRGs for Low-Degree Polynomials over Polynomial-Size Fields
Gil Cohen, Dean Doron, Noam Goldgraber

TL;DR
This paper presents the first construction of optimal seed length pseudorandom generators for low-degree polynomials over fields of polynomial size, improving previous results and revealing a threshold phenomenon related to field size.
Contribution
It introduces a new PRG construction over polynomial-sized fields with optimal seed length, replacing hitting-set generators with a novel pseudorandom object.
Findings
Constructed PRGs with optimal seed length over fields of size approximately d^4.
Identified a threshold phenomenon where smaller fields imply similar PRGs for binary fields.
Proved the inherent nature of the field-size dependence phenomenon.
Abstract
Pseudorandom generators (PRGs) for low-degree polynomials are a central object in pseudorandomness, with applications to circuit lower bounds and derandomization. Viola's celebrated construction gives a PRG over the binary field, but with seed length exponential in the degree . This exponential dependence can be avoided over sufficiently large fields. In particular, Dwivedi, Guo, and Volk constructed PRGs with optimal seed length over fields of size exponential in . The latter builds on the framework of Derksen and Viola, who obtained optimal-seed constructions over fields of size polynomial in , although growing with the number of variables . In this work, we construct the first PRG with optimal seed length for degree- polynomials over fields of polynomial size, specifically , assuming sufficiently large characteristic. Our construction follows the…
Peer Reviews
No public reviews on file for this paper yet. If you reviewed it on a platform where reviews are public (OpenReview, ICLR, NeurIPS, ICML), you can paste yours below so the community can read it here.
Videos
No videos yet. Explain this paper in a talk, walkthrough, or lecture? Add one.
Taxonomy
TopicsPolynomial and algebraic computation · Coding theory and cryptography · Cryptography and Residue Arithmetic
