alpha-Mutual Information: A Tunable Privacy Measure for Privacy Protection in Data Sharing
This research proposes Arimoto’s $\alpha$-Mutual Information as a tunable privacy measure to protect private data during sharing. By adjusting the parameter $\alpha$, researchers found that fine-tuning this metric allows for superior model performance across various dimensions when facing adversaries and side information, demonstrating a more refined approach than standard methods.