Construct · 1 fields · 1 citations

concentrated differential privacy: a standalone construct

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Information privacy

a relaxation of differential privacy that bounds the privacy loss as a subgaussian random variable, giving sharper composition.

In information privacy, concentrated differential privacy refers to a relaxation of differential privacy that bounds the privacy loss as a subgaussian random variable, giving sharper composition. This meaning comes from Bun (2016) in Lecture Notes in Computer Science.[1]

Unit
Recovery means
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Nearby constructs

composition3 fields · 3 citationsjingle · one word, three constructs information4 fields · 5 citationsjingle · one word, four constructs loss2 fields · 3 citationsjingle · one word, two constructs

References

Bun, M., & Steinke, T. (2016). Concentrated Differential Privacy: Simplifications, Extensions, and Lower Bounds. In Lecture Notes in Computer Science (pp. 635-658). Springer Berlin Heidelberg. https://doi.org/10.1007/978-3-662-53641-4_24

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