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Electronic Colloquium on Computational Complexity

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Reports tagged with Pseudo-Random Generators:
TR94-010 | 12th December 1994
Alexander Razborov, Steven Rudich

Natural Proofs

We introduce the notion of {\em natural} proof.
We argue that the known proofs of lower bounds on the complexity of explicit
Boolean functions in non-monotone models
fall within our definition of natural.
We show based on a hardness assumption
that natural proofs can't prove superpolynomial lower bounds ... more >>>

TR98-055 | 4th September 1998
Luca Trevisan

Constructions of Near-Optimal Extractors Using Pseudo-Random Generators

Comments: 1

We introduce a new approach to construct extractors -- combinatorial
objects akin to expander graphs that have several applications.
Our approach is based on error correcting codes and on the Nisan-Wigderson
pseudorandom generator. An application of our approach yields a
construction that is simple to ... more >>>

TR00-009 | 21st February 2000
Russell Impagliazzo, Ronen Shaltiel, Avi Wigderson

Extractors and pseudo-random generators with optimal seed length

We give the first construction of a pseudo-random generator with
optimal seed length that uses (essentially) arbitrary hardness.
It builds on the novel recursive use of the NW-generator in
a previous paper by the same authors, which produced many optimal
generators one of which was pseudo-random. This is achieved ... more >>>

TR00-033 | 22nd May 2000
Jan Krajicek

Tautologies from pseudo-random generators

Revisions: 1

We consider tautologies formed from a pseudo-random
number generator, defined in Kraj\'{\i}\v{c}ek \cite{Kra99}
and in Alekhnovich et.al. \cite{ABRW}.
We explain a strategy of proving their hardness for EF via
a conjecture about bounded arithmetic formulated
in Kraj\'{\i}\v{c}ek \cite{Kra99}. Further we give a
purely finitary statement, in a ... more >>>

TR01-027 | 23rd March 2001
Marius Zimand

Probabilistically Checkable Proofs The Easy Way

We present a weaker variant of the PCP Theorem that admits a
significantly easier proof. In this
variant the prover only has $n^t$ time to compute each
bit of his answer, for an arbitray but fixed constant
$t$, in contrast to
being all powerful. We show that
3SAT ... more >>>

TR17-167 | 3rd November 2017
Chin Ho Lee, Emanuele Viola

More on bounded independence plus noise: Pseudorandom generators for read-once polynomials

Revisions: 1

We construct pseudorandom generators with improved seed length for
several classes of tests. First we consider the class of read-once
polynomials over GF(2) in $m$ variables. For error $\e$ we obtain seed
length $\tilde O (\log(m/\e)) \log(1/\e)$, where $\tilde O$ hides lower-order
terms. This is optimal up to the factor ... more >>>

TR19-041 | 7th March 2019
Srinivasan Arunachalam, Alex Bredariol Grilo, Aarthi Sundaram

Quantum hardness of learning shallow classical circuits

In this paper we study the quantum learnability of constant-depth classical circuits under the uniform distribution and in the distribution-independent framework of PAC learning. In order to attain our results, we establish connections between quantum learning and quantum-secure cryptosystems. We then achieve the following results.

1) Hardness of learning ... more >>>

TR19-072 | 17th May 2019
Lijie Chen, Ofer Grossman

Broadcast Congested Clique: Planted Cliques and Pseudorandom Generators

Consider the multiparty communication complexity model where there are n processors, each receiving as input a row of an n by n matrix M with entries in {0, 1}, and in each round each party can broadcast a single bit to all other parties (this is known as the BCAST(1) ... more >>>

TR19-090 | 27th June 2019
Ronen Shaltiel, Swastik Kopparty, Jad Silbak

Quasilinear time list-decodable codes for space bounded channels

Revisions: 1

We consider codes for space bounded channels. This is a model for communication under noise that was studied by Guruswami and Smith (J. ACM 2016) and lies between the Shannon (random) and Hamming (adversarial) models. In this model, a channel is a space bounded procedure that reads the codeword in ... more >>>

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