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Node-Level Membership Inference Attacks Against Graph Neural Networks

Node-Level Membership Inference Attacks Against Graph Neural Networks

10 February 2021
Xinlei He
Rui Wen
Yixin Wu
Michael Backes
Yun Shen
Yang Zhang
ArXivPDFHTML

Papers citing "Node-Level Membership Inference Attacks Against Graph Neural Networks"

31 / 31 papers shown
Title
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
45
1
0
19 Jan 2025
Membership Inference Attack Against Masked Image Modeling
Membership Inference Attack Against Masked Image Modeling
Zehan Li
Xinlei He
Ning Yu
Yang Zhang
42
1
0
13 Aug 2024
Link Stealing Attacks Against Inductive Graph Neural Networks
Link Stealing Attacks Against Inductive Graph Neural Networks
Yixin Wu
Xinlei He
Pascal Berrang
Mathias Humbert
Michael Backes
Neil Zhenqiang Gong
Yang Zhang
42
2
0
09 May 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
41
36
0
07 Mar 2024
Preserving Node-level Privacy in Graph Neural Networks
Preserving Node-level Privacy in Graph Neural Networks
Zihang Xiang
Tianhao Wang
Di Wang
27
6
0
12 Nov 2023
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
31
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
GrOVe: Ownership Verification of Graph Neural Networks using Embeddings
GrOVe: Ownership Verification of Graph Neural Networks using Embeddings
Asim Waheed
Vasisht Duddu
Nadarajah Asokan
35
9
0
17 Apr 2023
Unraveling Privacy Risks of Individual Fairness in Graph Neural Networks
Unraveling Privacy Risks of Individual Fairness in Graph Neural Networks
He Zhang
Xingliang Yuan
Shirui Pan
53
11
0
30 Jan 2023
Privacy-Preserved Neural Graph Similarity Learning
Privacy-Preserved Neural Graph Similarity Learning
Yupeng Hou
Wayne Xin Zhao
Yaliang Li
Ji-Rong Wen
35
1
0
21 Oct 2022
Membership Inference Attacks and Generalization: A Causal Perspective
Membership Inference Attacks and Generalization: A Causal Perspective
Teodora Baluta
Shiqi Shen
S. Hitarth
Shruti Tople
Prateek Saxena
OOD
MIACV
42
18
0
18 Sep 2022
On the Privacy Risks of Cell-Based NAS Architectures
On the Privacy Risks of Cell-Based NAS Architectures
Haiping Huang
Zhikun Zhang
Yun Shen
Michael Backes
Qi Li
Yang Zhang
33
7
0
04 Sep 2022
Membership Inference Attacks by Exploiting Loss Trajectory
Membership Inference Attacks by Exploiting Loss Trajectory
Yiyong Liu
Zhengyu Zhao
Michael Backes
Yang Zhang
27
98
0
31 Aug 2022
Membership-Doctor: Comprehensive Assessment of Membership Inference
  Against Machine Learning Models
Membership-Doctor: Comprehensive Assessment of Membership Inference Against Machine Learning Models
Xinlei He
Zheng Li
Weilin Xu
Cory Cornelius
Yang Zhang
MIACV
38
24
0
22 Aug 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
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
SSLGuard: A Watermarking Scheme for Self-supervised Learning Pre-trained
  Encoders
SSLGuard: A Watermarking Scheme for Self-supervised Learning Pre-trained Encoders
Tianshuo Cong
Xinlei He
Yang Zhang
21
53
0
27 Jan 2022
Model Stealing Attacks Against Inductive Graph Neural Networks
Model Stealing Attacks Against Inductive Graph Neural Networks
Yun Shen
Xinlei He
Yufei Han
Yang Zhang
19
60
0
15 Dec 2021
Property Inference Attacks Against GANs
Property Inference Attacks Against GANs
Junhao Zhou
Yufei Chen
Chao Shen
Yang Zhang
AAML
MIACV
30
52
0
15 Nov 2021
Adversarial Attacks and Defenses for Social Network Text Processing
  Applications: Techniques, Challenges and Future Research Directions
Adversarial Attacks and Defenses for Social Network Text Processing Applications: Techniques, Challenges and Future Research Directions
I. Alsmadi
Kashif Ahmad
Mahmoud Nazzal
Firoj Alam
Ala I. Al-Fuqaha
Abdallah Khreishah
A. Algosaibi
AAML
32
16
0
26 Oct 2021
Releasing Graph Neural Networks with Differential Privacy Guarantees
Releasing Graph Neural Networks with Differential Privacy Guarantees
Iyiola E. Olatunji
Thorben Funke
Megha Khosla
37
45
0
18 Sep 2021
Membership Inference on Word Embedding and Beyond
Membership Inference on Word Embedding and Beyond
Saeed Mahloujifar
Huseyin A. Inan
Melissa Chase
Esha Ghosh
Marcello Hasegawa
MIACV
SILM
25
46
0
21 Jun 2021
Membership Inference Attacks on Knowledge Graphs
Membership Inference Attacks on Knowledge Graphs
Yu Wang
Lifu Huang
Philip S. Yu
Lichao Sun
MIACV
27
15
0
16 Apr 2021
Membership Inference Attacks on Machine Learning: A Survey
Membership Inference Attacks on Machine Learning: A Survey
Hongsheng Hu
Z. Salcic
Lichao Sun
Gillian Dobbie
Philip S. Yu
Xuyun Zhang
MIACV
35
412
0
14 Mar 2021
Quantifying and Mitigating Privacy Risks of Contrastive Learning
Quantifying and Mitigating Privacy Risks of Contrastive Learning
Xinlei He
Yang Zhang
21
51
0
08 Feb 2021
Membership Inference Attack on Graph Neural Networks
Membership Inference Attack on Graph Neural Networks
Iyiola E. Olatunji
Wolfgang Nejdl
Megha Khosla
AAML
40
97
0
17 Jan 2021
Extracting Training Data from Large Language Models
Extracting Training Data from Large Language Models
Nicholas Carlini
Florian Tramèr
Eric Wallace
Matthew Jagielski
Ariel Herbert-Voss
...
Tom B. Brown
D. Song
Ulfar Erlingsson
Alina Oprea
Colin Raffel
MLAU
SILM
290
1,824
0
14 Dec 2020
Model Extraction Attacks on Graph Neural Networks: Taxonomy and
  Realization
Model Extraction Attacks on Graph Neural Networks: Taxonomy and Realization
Bang Wu
Xiangwen Yang
Shirui Pan
Xingliang Yuan
MIACV
MLAU
55
53
0
24 Oct 2020
Stealing Links from Graph Neural Networks
Stealing Links from Graph Neural Networks
Xinlei He
Jinyuan Jia
Michael Backes
Neil Zhenqiang Gong
Yang Zhang
AAML
65
169
0
05 May 2020
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