Paper 2021/882
Computational Hardness of Optimal FairComputation: Beyond Minicrypt
Hemanta K. Maji and Mingyuan Wang
Abstract
Secure multi-party computation allows mutually distrusting parties to compute securely over their private data. However, guaranteeing output delivery to honest parties when the adversarial parties may abort the protocol has been a challenging objective. As a representative task, this work considers two-party coin-tossing protocols with guaranteed output delivery, a.k.a., fair coin-tossing.
In the information-theoretic plain model, as in two-party zero-sum games, one of the parties can force an output with certainty. In the commitment-hybrid, any
Metadata
- Available format(s)
-
PDF
- Category
- Foundations
- Publication info
- A minor revision of an IACR publication in CRYPTO 2021
- Keywords
- Fair computationOptimal fair coin-tossingCryptomaniaBlack-box separationHardness of computation resultsSecure function evaluation functionalities
- Contact author(s)
- wang1929 @ purdue edu
- History
- 2021-06-29: received
- Short URL
- https://ia.cr/2021/882
- License
-
CC BY
BibTeX
@misc{cryptoeprint:2021/882, author = {Hemanta K. Maji and Mingyuan Wang}, title = {Computational Hardness of Optimal {FairComputation}: Beyond Minicrypt}, howpublished = {Cryptology {ePrint} Archive, Paper 2021/882}, year = {2021}, url = {https://eprint.iacr.org/2021/882} }