Encyclopedia of Cryptography and Security

By H. V. Tilborg. 2005

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Differential Privacy and Machine Learning: a Survey and Review (2014, background): “Definition 3: a mechanism f̃ satisfies (ǫ, δ)-differential privacy [12, 13] for two non-negative numbers ǫ and δ iff for all neighbors d(D,D) = 1, and all subset S of f̃ ’s range, as long as the following probabilities are well-defined, there holds P (f̃(D) ∈ S) ≤ δ + eP (f̃(D) ∈ S)”