Mutual Information as Privacy-Loss Measure in Strategic Communication
Computer Science and Game Theory
2015-09-21 v1 Systems and Control
Optimization and Control
Abstract
A game is introduced to study the effect of privacy in strategic communication between well-informed senders and a receiver. The receiver wants to accurately estimate a random variable. The sender, however, wants to communicate a message that balances a trade-off between providing an accurate measurement and minimizing the amount of leaked private information, which is assumed to be correlated with the to-be-estimated variable. The mutual information between the transmitted message and the private information is used as a measure of the amount of leaked information. An equilibrium is constructed and its properties are investigated.
Keywords
Cite
@article{arxiv.1509.05502,
title = {Mutual Information as Privacy-Loss Measure in Strategic Communication},
author = {Farhad Farokhi and Girish Nair},
journal= {arXiv preprint arXiv:1509.05502},
year = {2015}
}