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Collecting and Analyzing Multidimensional Data with Local Differential Privacy
Motivated by this, we first propose novel LDP mechanisms for collecting a numeric attribute, whose accuracy is at least no worse (and usually better) than existing solutions in terms of worst-case noise variance.
Collecting and Analyzing Data from Smart Device Users with Local Differential Privacy
Organizations with a large user base, such as Samsung and Google, can potentially benefit from collecting and mining users' data.
Databases
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