Tighter Bounds on Multi-Party Coin Flipping, via Augmented Weak Martingales and Di erentially Private Sampling.
Amos BeimelIftach HaitnerNikolaos MakriyannisEran OmriPublished in: Electron. Colloquium Comput. Complex. (2017)
Keyphrases
- multi party
- privacy preserving
- upper bound
- lower bound
- sample size
- upper and lower bounds
- privacy preserving data mining
- worst case
- random sampling
- probability theory
- human communication
- private information
- mental states
- lower and upper bounds
- privacy protection
- description language
- audio video
- branch and bound
- privacy concerns
- third party
- orders of magnitude
- intelligent systems
- computational intelligence
- decoding algorithm
- object oriented
- fair exchange