sql-guessing-advantage-analyser
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sql-guessing-advantage-analyser [2019/06/05 20:25] alisa [Quick guide] |
sql-guessing-advantage-analyser [2019/09/26 14:01] alisa [Quick guide] |
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| Compared to [[sql-derivative-sensitivity-analyser|combined sensitivity analyser]], the data objects of a model also have schemas and data tables, but now there are no explicit table norms. The distance measure for differential privacy will be determined in a different way. | Compared to [[sql-derivative-sensitivity-analyser|combined sensitivity analyser]], the data objects of a model also have schemas and data tables, but now there are no explicit table norms. The distance measure for differential privacy will be determined in a different way. | ||
| - | Clicking on //Analyze// button opens a menu entitled //Analysis settings// on the right side of the page (in sidebar). The emerging slider allows to set desired upper bound on attacker’s advantage, which ranges between 0% and 100%. | + | Clicking on //Analyze// button opens a menu entitled //Analysis settings// on the right side of the page (in sidebar). In addition to the error level confidence slider that we have in [[sql-derivative-sensitivity-analyser|combined sensitivity analyser]], there is another slider allows to set desired upper bound on attacker’s advantage, which ranges between 0% and 100%. |
| - | {{slider.png}} | + | {{slider2.png}} |
| The user has to specify a particular subset of attributes that the attacker is trying to guess, within given precision range. To characterize the attacker more precisely, the user defines prior knowledge of the attacker. | The user has to specify a particular subset of attributes that the attacker is trying to guess, within given precision range. To characterize the attacker more precisely, the user defines prior knowledge of the attacker. | ||
sql-guessing-advantage-analyser.txt · Last modified: 2021/06/14 11:46 by alisa
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