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Completely fair SFE and coalition-safe cheap talk
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Source Annual ACM Symposium on Principles of Distributed Computing archive
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
Authors
Matt Lepinski  MIT CSAIL, Cambridge, MA
Silvio Micali  MIT CSAIL, Cambridge, MA
Chris Peikert  MIT CSAIL, Cambridge, MA
Abhi Shelat  MIT CSAIL, Cambridge, MA
Sponsors
SIGOPS: ACM Special Interest Group on Operating Systems
SIGACT: ACM Special Interest Group on Algorithms and Computation Theory
ACM: Association for Computing Machinery
Publisher
ACM  New York, NY, USA
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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

  1. (a) achieve correlated-equilibrium payoffs in any game,
  2. (b) are the first protocols which provably give no additional power to any coalition of players, and
  3. (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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Collaborative Colleagues:
Matt Lepinski: colleagues
Silvio Micali: colleagues
Chris Peikert: colleagues
Abhi Shelat: colleagues