May 6, 2013 · Abstract:We study the (nearly) optimal mechanisms in (\epsilon,\delta)-approximate differential privacy for integer-valued query functions ...
Dec 11, 2015 · Abstract: We study the (nearly) optimal mechanisms in (ϵ, δ)-differential privacy for integer-valued query functions and vector-valued ...
In Section IV, we study the optimal mechanisms in ( , δ)-differential privacy, and show the optimality of uniform noise mechanism and. Laplacian mechanism in ...
[PDF] The Optimal Noise-Adding Mechanism in Differential Privacy
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[6] shows that there exists a universally optimal mechanism (adding geometric noise) to preserve differential privacy for a general class of utility functions ...
We study the (nearly) optimal mechanisms in $(\epsilon,\delta)$-approximate differential privacy for integer-valued query functions and vector-valued ...
Abstract—We study the (nearly) optimal mechanisms in. (ϵ, δ)-differential privacy for integer-valued query functions and vector-valued (histogram-like) ...
Dec 19, 2013 · In Section IV, we study the optimal mechanisms in ( , δ)-differential privacy, and show the optimality of uniform noise mechanism and Laplacian.
In (ϵ, δ)-differential privacy, the optimal noise magnitude and the noise power are Θ(min((1/ϵ), (1/δ)), respectively, in the high privacy regime.
Adding Laplacian noise is a standard approach in differential privacy to sanitize numerical data before releasing it. In this paper, we propose an alternative ...
Feb 1, 2016 · We study the (nearly) optimal mechanisms in (∈, δ)-differential privacy for integer-valued query functions and vector-valued ...