sql-derivative-sensitivity-analyser
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sql-derivative-sensitivity-analyser [2019/09/26 17:22] alisa [Quick guide] |
sql-derivative-sensitivity-analyser [2019/10/01 17:22] (current) alisa [Description] |
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| ===== Description ===== | ===== Description ===== | ||
| - | Sensitivity of a function is the expected maximum change in the output, given a change in the input of the function. Sensitivity is the basis for calibrating the amount of noise to be added to prevent leakages on statistical database queries using a differential privacy mechanism. The analyser computes sensitivity of an SQL workflow and reports the amount of noise that we need to tolerate to achieve ε-differential privacy for desired ε. | + | Sensitivity of a function is the expected maximum change in the output, given a change in the input of the function. Sensitivity is the basis for calibrating the amount of noise to be added to prevent leakages on statistical database queries using a differential privacy mechanism. The analyzer computes sensitivity of an SQL workflow and reports the amount of noise that we need to tolerate to achieve ε-differential privacy for desired ε. |
| ===== Quick guide ===== | ===== Quick guide ===== | ||
sql-derivative-sensitivity-analyser.1569507760.txt.gz · Last modified: 2019/10/01 13:53 (external edit)
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