On ε-biased generators in NC0

  • Authors:
  • Elchanan Mossel;Amir Shpilka;Luca Trevisan

  • Affiliations:
  • Department of Statistics, U.C. Berkeley, Berkeley, CA 94720-3869, USA;Department of Computer Science and Applied Mathematics, Weizmann Institute of Science, Rehovot, Israel;Computer Science Division, U.C. Berkeley, Berkeley, CA 94720-1776, USA

  • Venue:
  • Random Structures & Algorithms
  • Year:
  • 2006

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Abstract

Cryan and Miltersen (Proceedings of the 26th Mathematical Foundations of Computer Science, 2001, pp. 272–284) recently considered the question of whether there can be a pseudorandom generator in NC0, that is, a pseudorandom generator that maps n-bit strings to m-bit strings such that every bit of the output depends on a constant number k of bits of the seed.They show that for k = 3, if m ≥ 4n + 1, there is a distinguisher; in fact, they show that in this case it is possible to break the generator with a linear test, that is, there is a subset of bits of the output whose XOR has a noticeable bias.They leave the question open for k ≥ 4. In fact, they ask whether every NC0 generator can be broken by a statistical test that simply XORs some bits of the input. Equivalently, is it the case that no NC0 generator can sample an ε-biased space with negligible ε?We give a generator for k = 5 that maps n bits into cn bits, so that every bit of the output depends on 5 bits of the seed, and the XOR of every subset of the bits of the output has bias 2-Ω(n/c4). For large values of k, we construct generators that map n bits to $n^{\Omega(\sqrt{k})}$ bits such that every XOR of outputs has bias $2^{-{n^{{1 \over 2\sqrt k}}}}$.We also present a polynomial-time distinguisher for k = 4,m ≥ 24n having constant distinguishing probability. For large values of k we show that a linear distinguisher with a constant distinguishing probability exists once m ≥ Ω(2kn⌈k/2⌉).Finally, we consider a variant of the problem where each of the output bits is a degree k polynomial in the inputs. We show there exists a degree k = 2 pseudorandom generator for which the XOR of every subset of the outputs has bias 2-Ω(n) and which maps n bits to Ω(n2) bits. © 2005 Wiley Periodicals, Inc. Random Struct. Alg., 2006