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Privately Estimating Graph Parameters in Sublinear time
v1v2 (latest)

Privately Estimating Graph Parameters in Sublinear time

11 February 2022
Jeremiah Blocki
Elena Grigorescu
Tamalika Mukherjee
ArXiv (abs)PDFHTML

Papers citing "Privately Estimating Graph Parameters in Sublinear time"

2 / 2 papers shown
Title
Fully Dynamic Graph Algorithms with Edge Differential Privacy
Fully Dynamic Graph Algorithms with Edge Differential Privacy
Sofya Raskhodnikova
Teresa Anna Steiner
111
1
0
26 Sep 2024
How to Make Your Approximation Algorithm Private: A Black-Box
  Differentially-Private Transformation for Tunable Approximation Algorithms of
  Functions with Low Sensitivity
How to Make Your Approximation Algorithm Private: A Black-Box Differentially-Private Transformation for Tunable Approximation Algorithms of Functions with Low Sensitivity
Jeremiah Blocki
Elena Grigorescu
Tamalika Mukherjee
Samson Zhou
112
13
0
07 Oct 2022
1