Statements (23)
| Predicate | Object |
|---|---|
| gptkbp:instanceOf |
differential privacy mechanism
|
| gptkbp:addsNoise |
Gaussian noise
|
| gptkbp:appliesTo |
real-valued query
|
| gptkbp:form |
M(x) = f(x) + N(0, σ^2)
|
| https://www.w3.org/2000/01/rdf-schema#label |
Gaussian Mechanism
|
| gptkbp:introduced |
gptkb:Cynthia_Dwork
|
| gptkbp:introducedIn |
2006
|
| gptkbp:noiseDistribution |
gptkb:normal_distribution
|
| gptkbp:output |
noisy query answer
|
| gptkbp:parameter |
mean
standard deviation |
| gptkbp:privacyGuaranteeDependsOn |
σ (standard deviation)
|
| gptkbp:provides |
(ε, δ)-differential privacy
|
| gptkbp:relatedTo |
gptkb:Laplace_Mechanism
|
| gptkbp:requires |
calibration of noise to sensitivity
|
| gptkbp:satisfies |
differential privacy under composition
|
| gptkbp:sensitivityType |
L2-sensitivity
|
| gptkbp:usedFor |
privacy-preserving data analysis
|
| gptkbp:usedIn |
gptkb:machine_learning
differential privacy statistical databases |
| gptkbp:bfsParent |
gptkb:Differential_Privacy
|
| gptkbp:bfsLayer |
5
|