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The Bounded Gaussian Mechanism for Differential Privacy

The Gaussian mechanism is one differential privacy mechanism commonly used to protect numerical data. However, it may be ill-suited to some applications because it has unbounded support and thus can produce invalid numerical answers to queries, such as negative ages or human heights in the tens of m...

Täydet tiedot

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Bibliografiset tiedot
Päätekijät: Bo Chen, Matthew Hale
Aineistotyyppi: Artigo
Kieli:Inglês
Julkaistu: Labor Dynamics Institute 2024-02-01
Sarja:The Journal of Privacy and Confidentiality
Aiheet:
Linkit:https://journalprivacyconfidentiality.org/index.php/jpc/article/view/850
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