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2102.05429
Cited By
Node-Level Membership Inference Attacks Against Graph Neural Networks
10 February 2021
Xinlei He
Rui Wen
Yixin Wu
Michael Backes
Yun Shen
Yang Zhang
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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
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
Zehan Li
Xinlei He
Ning Yu
Yang Zhang
42
1
0
13 Aug 2024
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
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
Zihang Xiang
Tianhao Wang
Di Wang
27
6
0
12 Nov 2023
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
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
Asim Waheed
Vasisht Duddu
Nadarajah Asokan
35
9
0
17 Apr 2023
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
Yupeng Hou
Wayne Xin Zhao
Yaliang Li
Ji-Rong Wen
35
1
0
21 Oct 2022
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
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
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
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
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
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
Sina Sajadmanesh
Ali Shahin Shamsabadi
A. Bellet
D. Gática-Pérez
30
63
0
02 Mar 2022
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
Tianshuo Cong
Xinlei He
Yang Zhang
21
53
0
27 Jan 2022
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
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
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
Iyiola E. Olatunji
Thorben Funke
Megha Khosla
37
45
0
18 Sep 2021
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
Yu Wang
Lifu Huang
Philip S. Yu
Lichao Sun
MIACV
27
15
0
16 Apr 2021
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
Xinlei He
Yang Zhang
21
51
0
08 Feb 2021
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
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
Bang Wu
Xiangwen Yang
Shirui Pan
Xingliang Yuan
MIACV
MLAU
55
53
0
24 Oct 2020
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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