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Obfuscation via Information Density Estimation
Conference

Obfuscation via Information Density Estimation

Abstract

Identifying features that leak information about sensitive attributes is a key challenge in the design of information obfuscation mechanisms. In this paper, we propose a framework to identify information-leaking features via information density estimation. Here, features whose information densities exceed a pre-defined threshold are deemed information-leaking features. Once these features are identified, we sequentially pass them through a …

Authors

Hsu H; Asoodeh S; Calmon FP

Volume

108

Pagination

pp. 906-917

Publication Date

January 1, 2020

Conference proceedings

Proceedings of Machine Learning Research