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...
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| Hauptverfasser: | , |
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| Format: | Artigo |
| Sprache: | Inglês |
| Veröffentlicht: |
Labor Dynamics Institute
2024-02-01
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| Schriftenreihe: | The Journal of Privacy and Confidentiality |
| Schlagworte: | |
| Online-Zugang: | https://journalprivacyconfidentiality.org/index.php/jpc/article/view/850 |
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