sql-derivative-sensitivity-analyser_demo
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sql-derivative-sensitivity-analyser_demo [2018/11/27 17:01] alisa [Example model for SQL combined sensitivity analysis] |
sql-derivative-sensitivity-analyser_demo [2018/11/27 17:01] alisa [Running guessing advantage analysis] |
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| - | We can now play around with the model and see how the error can be minimized. | + | We can now play around with the model and see how the error can be reduced. |
| * Increasing allowed guessing advantage decreases the error. At extreme cases, we get the error ∞ if we want advantage 0%, and the error 0 if we allow advantage 100% (more precisely, if we allow posterior probability 100%, which happens for even a smaller advantage). | * Increasing allowed guessing advantage decreases the error. At extreme cases, we get the error ∞ if we want advantage 0%, and the error 0 if we allow advantage 100% (more precisely, if we allow posterior probability 100%, which happens for even a smaller advantage). | ||
| * Try to decrease the allowed guessing radius (e.g. set it to 1). In general, it becomes more difficult for the attacker to make a guess, so the error decreases. | * Try to decrease the allowed guessing radius (e.g. set it to 1). In general, it becomes more difficult for the attacker to make a guess, so the error decreases. | ||
| * Try to increase and decrease the initially known ranges on latitude and longitude. While it directly affects the prior probability (which can be viewed by clicking //View more// in the analysis result), the upper bound on posterior probability may change less. Technically, differential privacy makes the "sensitive area" similar to its neighbouring surroundings, and not the entire set of possible values, so increasing the range may have little effect on the posterior probability. As the result, if the advantage level is kept the same, increasing the range may also increase the error. | * Try to increase and decrease the initially known ranges on latitude and longitude. While it directly affects the prior probability (which can be viewed by clicking //View more// in the analysis result), the upper bound on posterior probability may change less. Technically, differential privacy makes the "sensitive area" similar to its neighbouring surroundings, and not the entire set of possible values, so increasing the range may have little effect on the posterior probability. As the result, if the advantage level is kept the same, increasing the range may also increase the error. | ||
sql-derivative-sensitivity-analyser_demo.txt · Last modified: 2021/06/14 11:22 by alisa
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