[Resource Topic] 2018/171: On the Complexity of Simulating Auxiliary Input

Welcome to the resource topic for 2018/171

Title:
On the Complexity of Simulating Auxiliary Input

Authors: Yi-Hsiu Chen, Kai-Min Chung, Jyun-Jie Liao

Abstract:

We construct a simulator for the simulating auxiliary input problem with complexity better than all previous results and prove the optimality up to logarithmic factors by establishing a black-box lower bound. Specifically, let \ell be the length of the auxiliary input and \epsilon be the indistinguishability parameter. Our simulator is \tilde{O}(2^{\ell}\epsilon^{-2}) more complicated than the distinguisher family. For the lower bound, we show the relative complexity to the distinguisher of a simulator is at least \Omega(2^{\ell}\epsilon^{-2}) assuming the simulator is restricted to use the distinguishers in a black-box way and satisfy a mild restriction.

ePrint: https://eprint.iacr.org/2018/171

See all topics related to this paper.

Feel free to post resources that are related to this paper below.

Example resources include: implementations, explanation materials, talks, slides, links to previous discussions on other websites.

For more information, see the rules for Resource Topics .