| Completely fair SFE and coalition-safe cheap talk |
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Annual ACM Symposium on Principles of Distributed Computing
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Proceedings of the twenty-third annual ACM symposium on Principles of distributed computing
table of contents
St. John's, Newfoundland, Canada
SESSION: Game theory
table of contents
Pages: 1 - 10
Year of Publication: 2004
ISBN:1-58113-802-4
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Downloads (6 Weeks): 1, Downloads (12 Months): 35, Citation Count: 3
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ABSTRACT
Secure function evaluation (SFE) enables a group of players, by themselves, to evaluate a function on private inputs as securely as if a trusted third party had done it for them. A completely fair SFE is a protocol in which, conceptually, the function values are learned atomically.We provide a completely fair SFE protocol which is secure for any number of malicious players, using a novel combination of computational and physical channel assumptions.We also show how completely fair SFE has striking applications togame theory. In particular, it enables "cheap-talk" protocol that - (a) achieve correlated-equilibrium payoffs in any game,
- (b) are the first protocols which provably give no additional power to any coalition of players, and
- (c) are exponentially more efficient than prior counterparts.
REFERENCES
Note: OCR errors may be found in this Reference List extracted from the full text article. ACM has opted to expose the complete List rather than only correct and linked references.
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CITED BY 3
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Ittai Abraham , Danny Dolev , Rica Gonen , Joe Halpern, Distributed computing meets game theory: robust mechanisms for rational secret sharing and multiparty computation, Proceedings of the twenty-fifth annual ACM symposium on Principles of distributed computing, July 23-26, 2006, Denver, Colorado, USA
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