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Privately Estimating Graph Parameters in Sublinear time

Privately Estimating Graph Parameters in Sublinear time

11 February 2022
Jeremiah Blocki
Elena Grigorescu
Tamalika Mukherjee
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Papers citing "Privately Estimating Graph Parameters in Sublinear time"

4 / 4 papers shown
Title
Fully Dynamic Graph Algorithms with Edge Differential Privacy
Fully Dynamic Graph Algorithms with Edge Differential Privacy
Sofya Raskhodnikova
Teresa Anna Steiner
43
1
0
26 Sep 2024
Seeding with Differentially Private Network Information
Seeding with Differentially Private Network Information
M. Rahimian
Fang-Yi Yu
Carlos Hurtado
33
2
0
26 May 2023
Node-Differentially Private Estimation of the Number of Connected
  Components
Node-Differentially Private Estimation of the Number of Connected Components
Iden Kalemaj
Sofya Raskhodnikova
Adam D. Smith
Charalampos E. Tsourakakis
45
7
0
12 Apr 2023
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
76
11
0
07 Oct 2022
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