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$α$-Mutual Information: A Tunable Privacy Measure for Privacy Protection in Data Sharing
This paper adopts Arimoto's $α$-Mutual Information as a tunable privacy measure, in a privacy-preserving data release setting that aims to prevent disclosing private data to adversaries. By fine-tuning the privacy metric, we demonstrate that our approach yields superior models that effectively thwar
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