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GraphMI: Extracting Private Graph Data from Graph Neural Networks

GraphMI: Extracting Private Graph Data from Graph Neural Networks

5 June 2021
Zaixi Zhang
Qi Liu
Zhenya Huang
Hao Wang
Chengqiang Lu
Chuanren Liu
Enhong Chen
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Papers citing "GraphMI: Extracting Private Graph Data from Graph Neural Networks"

14 / 14 papers shown
Title
A Survey of Graph Neural Networks in Real world: Imbalance, Noise,
  Privacy and OOD Challenges
A Survey of Graph Neural Networks in Real world: Imbalance, Noise, Privacy and OOD Challenges
Wei Ju
Siyu Yi
Yifan Wang
Zhiping Xiao
Zhengyan Mao
...
Senzhang Wang
Xinwang Liu
Xiao Luo
Philip S. Yu
Ming Zhang
AI4CE
36
36
0
07 Mar 2024
A Survey on Privacy in Graph Neural Networks: Attacks, Preservation, and
  Applications
A Survey on Privacy in Graph Neural Networks: Attacks, Preservation, and Applications
Yi Zhang
Yuying Zhao
Zhaoqing Li
Xueqi Cheng
Yu-Chiang Frank Wang
Olivera Kotevska
Philip S. Yu
Tyler Derr
26
10
0
31 Aug 2023
Privacy-Utility Trade-offs in Neural Networks for Medical Population
  Graphs: Insights from Differential Privacy and Graph Structure
Privacy-Utility Trade-offs in Neural Networks for Medical Population Graphs: Insights from Differential Privacy and Graph Structure
Tamara T. Mueller
Maulik Chevli
Ameya Daigavane
Daniel Rueckert
Georgios Kaissis
33
0
0
13 Jul 2023
An Equivariant Generative Framework for Molecular Graph-Structure
  Co-Design
An Equivariant Generative Framework for Molecular Graph-Structure Co-Design
Zaixin Zhang
Qi Liu
Cheekong Lee
Chang-Yu Hsieh
Enhong Chen
24
18
0
12 Apr 2023
Training Differentially Private Graph Neural Networks with Random Walk
  Sampling
Training Differentially Private Graph Neural Networks with Random Walk Sampling
Morgane Ayle
Jan Schuchardt
Lukas Gosch
Daniel Zügner
Stephan Günnemann
FedML
29
6
0
02 Jan 2023
Privacy-Preserved Neural Graph Similarity Learning
Privacy-Preserved Neural Graph Similarity Learning
Yupeng Hou
Wayne Xin Zhao
Yaliang Li
Ji-Rong Wen
33
1
0
21 Oct 2022
Model Inversion Attacks against Graph Neural Networks
Model Inversion Attacks against Graph Neural Networks
Zaixin Zhang
Qi Liu
Zhenya Huang
Hao Wang
Cheekong Lee
Enhong
AAML
23
35
0
16 Sep 2022
A Survey of Trustworthy Graph Learning: Reliability, Explainability, and
  Privacy Protection
A Survey of Trustworthy Graph Learning: Reliability, Explainability, and Privacy Protection
Bingzhe Wu
Jintang Li
Junchi Yu
Yatao Bian
Hengtong Zhang
...
Guangyu Sun
Peng Cui
Zibin Zheng
Zhe Liu
P. Zhao
OOD
45
25
0
20 May 2022
Trustworthy Graph Neural Networks: Aspects, Methods and Trends
Trustworthy Graph Neural Networks: Aspects, Methods and Trends
He Zhang
Bang Wu
Xingliang Yuan
Shirui Pan
Hanghang Tong
Jian Pei
45
104
0
16 May 2022
GAP: Differentially Private Graph Neural Networks with Aggregation
  Perturbation
GAP: Differentially Private Graph Neural Networks with Aggregation Perturbation
Sina Sajadmanesh
Ali Shahin Shamsabadi
A. Bellet
D. Gática-Pérez
30
63
0
02 Mar 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
Differentially Private Graph Classification with GNNs
Differentially Private Graph Classification with GNNs
Tamara T. Mueller
Johannes C. Paetzold
Chinmay Prabhakar
Dmitrii Usynin
Daniel Rueckert
Georgios Kaissis
50
18
0
05 Feb 2022
Motif-based Graph Self-Supervised Learning for Molecular Property
  Prediction
Motif-based Graph Self-Supervised Learning for Molecular Property Prediction
Zaixin Zhang
Qi Liu
Hao Wang
Chengqiang Lu
Chee-Kong Lee
SSL
AI4CE
37
250
0
03 Oct 2021
Stealing Links from Graph Neural Networks
Stealing Links from Graph Neural Networks
Xinlei He
Jinyuan Jia
Michael Backes
Neil Zhenqiang Gong
Yang Zhang
AAML
63
168
0
05 May 2020
1