Mutual Information as Privacy-Loss Measure in Strategic Communication
Provides a theoretical framework for privacy-aware communication in strategic settings, relevant to information theory and privacy research.
This paper introduces a game-theoretic model for strategic communication where a sender balances accuracy of estimation with privacy leakage, measured by mutual information. An equilibrium is constructed and analyzed.
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.