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Triangle Counting with Local Edge Differential Privacy

Triangle Counting with Local Edge Differential Privacy

3 May 2023
T. Eden
Quanquan C. Liu
Sofya Raskhodnikova
Adam D. Smith
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Papers citing "Triangle Counting with Local Edge Differential Privacy"

11 / 11 papers shown
Title
Signal Recovery from Random Dot-Product Graphs Under Local Differential Privacy
Signal Recovery from Random Dot-Product Graphs Under Local Differential Privacy
Siddharth Vishwanath
Jonathan Hehir
67
0
0
24 Apr 2025
Fully Dynamic Graph Algorithms with Edge Differential Privacy
Fully Dynamic Graph Algorithms with Edge Differential Privacy
Sofya Raskhodnikova
Teresa Anna Steiner
28
1
0
26 Sep 2024
Cycle Counting under Local Differential Privacy for Degeneracy-bounded
  Graphs
Cycle Counting under Local Differential Privacy for Degeneracy-bounded Graphs
Quentin Hillebrand
Vorapong Suppakitpaisarn
Tetsuo Shibuya
26
1
0
25 Sep 2024
Differentially Private Gomory-Hu Trees
Differentially Private Gomory-Hu Trees
Anders Aamand
Justin Y. Chen
M. Dalirrooyfard
Slobodan Mitrović
Yuriy Nevmyvaka
Sandeep Silwal
Yinzhan Xu
OT
25
0
0
03 Aug 2024
Tighter Bounds for Local Differentially Private Core Decomposition and
  Densest Subgraph
Tighter Bounds for Local Differentially Private Core Decomposition and Densest Subgraph
Monika Henzinger
A. Sricharan
Leqi Zhu
42
0
0
28 Feb 2024
Communication Cost Reduction for Subgraph Counting under Local
  Differential Privacy via Hash Functions
Communication Cost Reduction for Subgraph Counting under Local Differential Privacy via Hash Functions
Quentin Hillebrand
Vorapong Suppakitpaisarn
Tetsuo Shibuya
21
2
0
12 Dec 2023
Seeding with Differentially Private Network Information
Seeding with Differentially Private Network Information
M. Rahimian
Fang-Yi Yu
Carlos Hurtado
26
1
0
26 May 2023
Communication-Efficient Triangle Counting under Local Differential
  Privacy
Communication-Efficient Triangle Counting under Local Differential Privacy
Jacob Imola
Takao Murakami
Kamalika Chaudhuri
30
30
0
13 Oct 2021
Locally Differentially Private Analysis of Graph Statistics
Locally Differentially Private Analysis of Graph Statistics
Jacob Imola
Takao Murakami
Kamalika Chaudhuri
70
91
0
17 Oct 2020
Prochlo: Strong Privacy for Analytics in the Crowd
Prochlo: Strong Privacy for Analytics in the Crowd
Andrea Bittau
Ulfar Erlingsson
Petros Maniatis
Ilya Mironov
A. Raghunathan
David Lie
Mitch Rudominer
Ushasree Kode
J. Tinnés
B. Seefeld
79
278
0
02 Oct 2017
The Power of Linear Reconstruction Attacks
The Power of Linear Reconstruction Attacks
S. Kasiviswanathan
M. Rudelson
Adam D. Smith
AAML
57
54
0
08 Oct 2012
1