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Fair Coin Flipping: Tighter Analysis and the Many-Party Case by Buchbinder, Niv; Haitner, Iftach; Levi, Nissan; Tsfadia, Eliad is a scholarly article available to read on EtoBox.

What is Fair Coin Flipping: Tighter Analysis and the Many-Party Case about?

In a multi-party fair coin-flipping protocol, the parties output a common (close to) unbiased bit, even when some adversarial parties try to bias the output. In this work we focus on the case of an arbitrary number of corrupted parties. Cleve [STOC 1986] has shown that in any such $m$-round coin-flipping protocol, the corrupted parties can bias the honest parties' common output bit by $\Theta(1/m)$. For more than two decades, the best known coin-flipping protocol was the one of Awerbuch et al. [Manuscript 1985], who presented a $t$-party, $m$-round protocol with bias $\Theta(t/\sqrt{m})$. This was changed by the breakthrough result of Moran et al. [TCC 2009], who constructed an $m$-round, two-party coin-flipping protocol with optimal bias $\Theta(1/m)$. Haitner and Tsfadia [STOC 2014] constructed an $m$-round, three-party coin-flipping protocol with bias $O(\log^3m / m)$. Still for the case of more than three parties, the best known protocol remained the $\Theta(t/\sqrt{m})$-bias protocol of Awerbuch et al. We make a step towards eliminating the above gap, presenting a $t$-party, $m$-round coin-flipping protocol, with bias $O(\frac{t^4 \cdot 2^t \cdot \sqrt{\log m}}{m^{1/2+1/\left(

Author

Buchbinder, Niv; Haitner, Iftach; Levi, Nissan; Tsfadia, Eliad

Published

2021

Language

EN