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Robustness of Locally Differentially Private Graph Analysis Against
  Poisoning

Robustness of Locally Differentially Private Graph Analysis Against Poisoning

25 October 2022
Jacob Imola
A. Chowdhury
Kamalika Chaudhuri
    AAML
ArXivPDFHTML

Papers citing "Robustness of Locally Differentially Private Graph Analysis Against Poisoning"

7 / 7 papers shown
Title
Augmented Shuffle Protocols for Accurate and Robust Frequency Estimation under Differential Privacy
Augmented Shuffle Protocols for Accurate and Robust Frequency Estimation under Differential Privacy
Takao Murakami
Yuichi Sei
Reo Eriguchi
32
1
0
10 Apr 2025
Fine-grained Poisoning Attack to Local Differential Privacy Protocols
  for Mean and Variance Estimation
Fine-grained Poisoning Attack to Local Differential Privacy Protocols for Mean and Variance Estimation
Xiaoguang Li
Ninghui Li
Wenhai Sun
Neil Zhenqiang Gong
Hui Li
AAML
58
15
0
24 May 2022
Degree-Preserving Randomized Response for Graph Neural Networks under
  Local Differential Privacy
Degree-Preserving Randomized Response for Graph Neural Networks under Local Differential Privacy
Seira Hidano
Takao Murakami
26
8
0
21 Feb 2022
Communication-Efficient Triangle Counting under Local Differential
  Privacy
Communication-Efficient Triangle Counting under Local Differential Privacy
Jacob Imola
Takao Murakami
Kamalika Chaudhuri
32
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
92
0
17 Oct 2020
Exploring Graph Neural Networks for Stock Market Predictions with
  Rolling Window Analysis
Exploring Graph Neural Networks for Stock Market Predictions with Rolling Window Analysis
Daiki Matsunaga
Toyotaro Suzumura
Toshihiro Takahashi
AIFin
38
82
0
24 Sep 2019
Analyzing Federated Learning through an Adversarial Lens
Analyzing Federated Learning through an Adversarial Lens
A. Bhagoji
Supriyo Chakraborty
Prateek Mittal
S. Calo
FedML
182
1,032
0
29 Nov 2018
1