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1905.10477
Cited By
Efficiently Estimating Erdos-Renyi Graphs with Node Differential Privacy
24 May 2019
Adam Sealfon
Jonathan R. Ullman
Re-assign community
ArXiv
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Papers citing
"Efficiently Estimating Erdos-Renyi Graphs with Node Differential Privacy"
16 / 16 papers shown
Title
Fully Dynamic Graph Algorithms with Edge Differential Privacy
Sofya Raskhodnikova
Teresa Anna Steiner
43
1
0
26 Sep 2024
On Differentially Private U Statistics
Kamalika Chaudhuri
Po-Ling Loh
Shourya Pandey
Purnamrita Sarkar
FedML
74
0
0
06 Jul 2024
Privacy-Preserving Graph Machine Learning from Data to Computation: A Survey
Dongqi Fu
Wenxuan Bao
Ross Maciejewski
Hanghang Tong
Jingrui He
49
9
0
10 Jul 2023
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
Private estimation algorithms for stochastic block models and mixture models
Hongjie Chen
Vincent Cohen-Addad
Tommaso dÓrsi
Alessandro Epasto
Jacob Imola
David Steurer
Stefan Tiegel
FedML
43
20
0
11 Jan 2023
Archimedes Meets Privacy: On Privately Estimating Quantiles in High Dimensions Under Minimal Assumptions
Omri Ben-Eliezer
Dan Mikulincer
Ilias Zadik
FedML
63
7
0
15 Aug 2022
Sharper Utility Bounds for Differentially Private Models
Yilin Kang
Yong Liu
Jian Li
Weiping Wang
FedML
35
3
0
22 Apr 2022
Privately Estimating Graph Parameters in Sublinear time
Jeremiah Blocki
Elena Grigorescu
Tamalika Mukherjee
22
10
0
11 Feb 2022
Robust Estimation for Random Graphs
Jayadev Acharya
Ayush Jain
Gautam Kamath
A. Suresh
Huanyu Zhang
35
8
0
09 Nov 2021
Optimal Private Median Estimation under Minimal Distributional Assumptions
Christos Tzamos
Emmanouil-Vasileios Vlatakis-Gkaragkounis
Ilias Zadik
33
21
0
12 Nov 2020
A Primer on Private Statistics
Gautam Kamath
Jonathan R. Ullman
38
48
0
30 Apr 2020
Data Heterogeneity Differential Privacy: From Theory to Algorithm
Yilin Kang
Jian Li
Yong Liu
Weiping Wang
33
1
0
20 Feb 2020
Input Perturbation: A New Paradigm between Central and Local Differential Privacy
Yilin Kang
Yong Liu
Ben Niu
Xin-Yi Tong
Likun Zhang
Weiping Wang
27
11
0
20 Feb 2020
Average-Case Averages: Private Algorithms for Smooth Sensitivity and Mean Estimation
Mark Bun
Thomas Steinke
47
74
0
06 Jun 2019
Private Identity Testing for High-Dimensional Distributions
C. Canonne
Gautam Kamath
Audra McMillan
Jonathan R. Ullman
Lydia Zakynthinou
37
36
0
28 May 2019
Directed Networks with a Differentially Private Bi-degree Sequence
T. Yan
25
11
0
04 May 2017
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