Data diameter privacy policies
Privacy of data can be preserved while utility of the output is maximized by selecting from an appropriately calculated distribution of noise values to add to an output. A distribution that includes a high likelihood of large noise values may lead to less useful output data. Conversely, a distributi...
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| Zusammenfassung: | Privacy of data can be preserved while utility of the output is maximized by selecting from an appropriately calculated distribution of noise values to add to an output. A distribution that includes a high likelihood of large noise values may lead to less useful output data. Conversely, a distribution that includes very low likelihood of large noise values may lead to less privacy. A distribution should be calculated to provide an appropriate level of output utility and privacy based on the query that is performed and the desired privacy level. |
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