Fair Coin Flipping: Tighter Analysis and the Many-Party Case
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Publication:4575919
DOI10.1137/1.9781611974782.170zbMath1414.94909arXiv2104.08820OpenAlexW3168804117MaRDI QIDQ4575919
Niv Buchbinder, Eliad Tsfadia, Iftach Haitner, Nissan Levi
Publication date: 16 July 2018
Published in: Proceedings of the Twenty-Eighth Annual ACM-SIAM Symposium on Discrete Algorithms (Search for Journal in Brave)
Full work available at URL: https://arxiv.org/abs/2104.08820
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A lower bound for adaptively-secure collective coin flipping protocols ⋮ Computational hardness of optimal fair computation: beyond Minicrypt ⋮ Game theoretic notions of fairness in multi-party coin toss ⋮ Guaranteed output in \(O(\sqrt{n})\) rounds for round-robin sampling protocols ⋮ Estimating gaps in martingales and applications to coin-tossing: constructions and hardness ⋮ Tighter Bounds on MultiParty Coin Flipping via Augmented Weak Martingales and Differentially Private Sampling ⋮ Almost-optimally fair multiparty coin-tossing with nearly three-quarters malicious ⋮ \(1/p\)-secure multiparty computation without an honest majority and the best of both worlds ⋮ Characterization of secure multiparty computation without broadcast ⋮ On the power of an honest majority in three-party computation without broadcast ⋮ On the complexity of fair coin flipping ⋮ On the complexity of fair coin flipping ⋮ From fairness to full security in multiparty computation ⋮ A Lower Bound for Adaptively-Secure Collective Coin-Flipping Protocols ⋮ Black-box use of one-way functions is useless for optimal fair coin-tossing
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