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Membership Inference Attack on Graph Neural Networks

Membership Inference Attack on Graph Neural Networks

17 January 2021
Iyiola E. Olatunji
Wolfgang Nejdl
Megha Khosla
    AAML
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Papers citing "Membership Inference Attack on Graph Neural Networks"

13 / 13 papers shown
Title
Robustness questions the interpretability of graph neural networks: what to do?
Robustness questions the interpretability of graph neural networks: what to do?
Kirill Lukyanov
Georgii Sazonov
Serafim Boyarsky
Ilya Makarov
AAML
41
0
0
05 May 2025
GRID: Protecting Training Graph from Link Stealing Attacks on GNN Models
GRID: Protecting Training Graph from Link Stealing Attacks on GNN Models
Jiadong Lou
Xu Yuan
Rui Zhang
Xingliang Yuan
Neil Gong
N. Tzeng
AAML
30
1
0
19 Jan 2025
Membership Inference Attack Against Masked Image Modeling
Membership Inference Attack Against Masked Image Modeling
Z. Li
Xinlei He
Ning Yu
Yang Zhang
22
1
0
13 Aug 2024
Reconstructing training data from document understanding models
Reconstructing training data from document understanding models
Jérémie Dentan
Arnaud Paran
A. Shabou
AAML
SyDa
21
1
0
05 Jun 2024
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
31
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
8
9
0
31 Aug 2023
VertexSerum: Poisoning Graph Neural Networks for Link Inference
VertexSerum: Poisoning Graph Neural Networks for Link Inference
Ruyi Ding
Shijin Duan
Xiaolin Xu
Yunsi Fei
AAML
GNN
19
4
0
02 Aug 2023
Node Injection Link Stealing Attack
Node Injection Link Stealing Attack
Oualid Zari
Javier Parra-Arnau
Ayşe Ünsal
Melek Önen
12
2
0
25 Jul 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
25
0
0
13 Jul 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
13
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
17
1
0
21 Oct 2022
Towards Private Learning on Decentralized Graphs with Local Differential
  Privacy
Towards Private Learning on Decentralized Graphs with Local Differential Privacy
Wanyu Lin
Baochun Li
Cong Wang
FedML
12
43
0
23 Jan 2022
Releasing Graph Neural Networks with Differential Privacy Guarantees
Releasing Graph Neural Networks with Differential Privacy Guarantees
Iyiola E. Olatunji
Thorben Funke
Megha Khosla
27
44
0
18 Sep 2021
1