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1810.02183
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Revealing Network Structure, Confidentially: Improved Rates for Node-Private Graphon Estimation
4 October 2018
C. Borgs
J. Chayes
Adam D. Smith
Ilias Zadik
FedML
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Papers citing
"Revealing Network Structure, Confidentially: Improved Rates for Node-Private Graphon Estimation"
11 / 11 papers shown
Title
Low degree conjecture implies sharp computational thresholds in stochastic block model
Jingqiu Ding
Yiding Hua
Lucas Slot
David Steurer
72
1
0
20 Feb 2025
Fully Dynamic Graph Algorithms with Edge Differential Privacy
Sofya Raskhodnikova
Teresa Anna Steiner
33
1
0
26 Sep 2024
Time-Aware Projections: Truly Node-Private Graph Statistics under Continual Observation
Palak Jain
Adam D. Smith
Connor Wagaman
24
5
0
07 Mar 2024
Node-Differentially Private Estimation of the Number of Connected Components
Iden Kalemaj
Sofya Raskhodnikova
Adam D. Smith
Charalampos E. Tsourakakis
27
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
35
19
0
11 Jan 2023
Asymptotics of
ℓ
2
\ell_2
ℓ
2
Regularized Network Embeddings
A. Davison
23
0
0
05 Jan 2022
Robust Estimation for Random Graphs
Jayadev Acharya
Ayush Jain
Gautam Kamath
A. Suresh
Huanyu Zhang
27
8
0
09 Nov 2021
Modularity maximisation for graphons
F. Klimm
N. Jones
Michael T. Schaub
18
1
0
02 Jan 2021
Optimal Private Median Estimation under Minimal Distributional Assumptions
Christos Tzamos
Emmanouil-Vasileios Vlatakis-Gkaragkounis
Ilias Zadik
22
21
0
12 Nov 2020
A Primer on Private Statistics
Gautam Kamath
Jonathan R. Ullman
33
48
0
30 Apr 2020
Private Identity Testing for High-Dimensional Distributions
C. Canonne
Gautam Kamath
Audra McMillan
Jonathan R. Ullman
Lydia Zakynthinou
30
36
0
28 May 2019
1