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Electronic Colloquium on Computational Complexity

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TR21-082 | 16th June 2021
Rahul Ilango, Hanlin Ren, Rahul Santhanam

Hardness on any Samplable Distribution Suffices: New Characterizations of One-Way Functions by Meta-Complexity

We show that one-way functions exist if and only if there is some samplable distribution D such that it is hard to approximate the Kolmogorov complexity of a string sampled from D. Thus we characterize the existence of one-way functions by the average-case hardness of a natural \emph{uncomputable} problem on ... more >>>


TR21-081 | 14th June 2021
Nutan Limaye, Srikanth Srinivasan, Sébastien Tavenas

Superpolynomial Lower Bounds Against Low-Depth Algebraic Circuits

Revisions: 1

An Algebraic Circuit for a polynomial $P\in F[x_1,\ldots,x_N]$ is a computational model for constructing the polynomial $P$ using only additions and multiplications. It is a \emph{syntactic} model of computation, as opposed to the Boolean Circuit model, and hence lower bounds for this model are widely expected to be easier to ... more >>>


TR21-080 | 10th June 2021
Lijie Chen, Roei Tell

Hardness vs Randomness, Revised: Uniform, Non-Black-Box, and Instance-Wise

We propose a new approach to the hardness-to-randomness framework and to the promise-BPP=promise-P conjecture. Classical results rely on non-uniform hardness assumptions to construct derandomization algorithms that work in the worst-case, or rely on uniform hardness assumptions to construct derandomization algorithms that work only in the average-case. In both types of ... more >>>



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