The Privacy-Utility Tradeoff in Rank-Preserving Dataset Obfuscation. (arXiv:2305.07079v1 [cs.IT])

Dataset obfuscation refers to techniques in which random noise is added to
the entries of a given dataset, prior to its public release, to protect against
leakage of private information. In this work, dataset obfuscation under two
objectives is considered: i) rank-preservation: to preserve the row ordering in
the obfuscated dataset induced by a given rank function, and ii) anonymity: to
protect user anonymity under fingerprinting attacks. The first objective,
rank-preservation, is of interest in applications such as the design …

information noise obfuscated obfuscation objectives preservation privacy private protect public random release techniques under utility work