Dec 7, 2016 · This new notion allows the data controller to adjust the distortion to the actual data set, which results in less distortion and more analytical ...
Abstract—Differential privacy is a popular privacy model within the research community because of the strong privacy guarantee it offers, namely that the.
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Dec 8, 2016 · This new notion allows the data protector to adjust the distortion to the actual data set, which results in less distortion and more analytical ...
This paper argues that the standard formalization of differential privacy is stricter than required by the intuitive privacy guarantee it seeks, ...
Mar 8, 2017 · Abstract—Differential privacy is a popular privacy model within the research community because of the strong privacy guarantee it offers ...
Considering DP will deteriorate the data utility, this paper proposes the Individual Differential Privacy via Spectral Clustering (iDP-SC) to address the ...
Jul 26, 2021 · In this paper, the specific privacy threat model is as follows in the numerical data query: (1) the data analyst is honest-but-curious, (2) the ...
This new notion allows the data protector to adjust the distortion to the actual data set, which results in less distortion and more analytical accuracy. We ...
This guarantee is a reformulation of Dalenius' privacy goal [33]; as such, all mechanisms that satisfy free lunch privacy have a near-total lack of utility. 6 ...
Nov 8, 2022 · ABSTRACT. Applying machine learning (ML) to sensitive domains requires pri- vacy protection of the underlying training data through formal.