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Bounded differential privacy - Revision history
2026-04-25T09:40:47Z
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2026-01-20T00:24:28Z
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imported>Unknown user at 02:53, 15 January 2026
2026-01-15T02:53:33Z
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imported>Unknown user at 01:42, 15 January 2026
2026-01-15T01:42:27Z
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<tr><td class="diff-marker"></td><td style="background-color: #f8f9fa; color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #eaecf0; vertical-align: top; white-space: pre-wrap;"><div>{{LanguageHeader|en}}</div></td><td class="diff-marker"></td><td style="background-color: #f8f9fa; color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #eaecf0; vertical-align: top; white-space: pre-wrap;"><div>{{LanguageHeader|en}}</div></td></tr>
<tr><td class="diff-marker" data-marker="−"></td><td style="color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #ffe49c; vertical-align: top; white-space: pre-wrap;"><div>{{CyberTerm|definition=A unit of privacy variant that calls two datasets <del style="font-weight: bold; text-decoration: none;"><em>D</em><sub>1</sub> </del>and <del style="font-weight: bold; text-decoration: none;"><i>D</i><sub>2</sub> </del>neighbors if it is possible to construct <del style="font-weight: bold; text-decoration: none;"><i>D</i><sub>2</sub> </del>from <del style="font-weight: bold; text-decoration: none;"><i>D</i><sub>1</sub> </del>by changing one person’s data. Under bounded differential privacy, neighboring datasets have the same size. Bounded differential privacy allows for mechanisms that release the total size of the dataset with no noise.|source=NIST SP 800-226}}</div></td><td class="diff-marker" data-marker="+"></td><td style="color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #a3d3ff; vertical-align: top; white-space: pre-wrap;"><div>{{CyberTerm|definition=A unit of privacy variant that calls two datasets <ins style="font-weight: bold; text-decoration: none;">D1 </ins>and <ins style="font-weight: bold; text-decoration: none;">D2 </ins>neighbors if it is possible to construct <ins style="font-weight: bold; text-decoration: none;">D2 </ins>from <ins style="font-weight: bold; text-decoration: none;">D1 </ins>by changing one person’s data. Under bounded differential privacy, neighboring datasets have the same size. Bounded differential privacy allows for mechanisms that release the total size of the dataset with no noise.|source=NIST SP 800-226}}</div></td></tr>
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imported>Unknown user at 00:12, 15 January 2026
2026-01-15T00:12:26Z
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{{CyberTerm|definition=A unit of privacy variant that calls two datasets <em>D</em><sub>1</sub> and <i>D</i><sub>2</sub> neighbors if it is possible to construct <i>D</i><sub>2</sub> from <i>D</i><sub>1</sub> by changing one person’s data. Under bounded differential privacy, neighboring datasets have the same size. Bounded differential privacy allows for mechanisms that release the total size of the dataset with no noise.|source=NIST SP 800-226}}</div>
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