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Adversarial Attacks on Graph Neural Networks via Meta Learning

Adversarial Attacks on Graph Neural Networks via Meta Learning

22 February 2019
Daniel Zügner
Stephan Günnemann
    OOD
    AAML
    GNN
ArXivPDFHTML

Papers citing "Adversarial Attacks on Graph Neural Networks via Meta Learning"

50 / 72 papers shown
Title
Framework GNN-AID: Graph Neural Network Analysis Interpretation and Defense
Framework GNN-AID: Graph Neural Network Analysis Interpretation and Defense
Kirill Lukyanov
Mikhail Drobyshevskiy
Georgii Sazonov
Mikhail Soloviov
Ilya Makarov
GNN
41
0
0
06 May 2025
Quantifying the Noise of Structural Perturbations on Graph Adversarial Attacks
Quantifying the Noise of Structural Perturbations on Graph Adversarial Attacks
Junyuan Fang
Han Yang
Haixian Wen
Jiajing Wu
Zibin Zheng
Chi K. Tse
AAML
46
0
0
29 Apr 2025
Hierarchical Uncertainty-Aware Graph Neural Network
Hierarchical Uncertainty-Aware Graph Neural Network
Yoonhyuk Choi
Jiho Choi
Taewook Ko
Chong-Kwon Kim
81
0
0
28 Apr 2025
VGFL-SA: Vertical Graph Federated Learning Structure Attack Based on Contrastive Learning
VGFL-SA: Vertical Graph Federated Learning Structure Attack Based on Contrastive Learning
Yang Chen
Bin Zhou
AAML
FedML
38
0
0
24 Feb 2025
When Witnesses Defend: A Witness Graph Topological Layer for Adversarial Graph Learning
When Witnesses Defend: A Witness Graph Topological Layer for Adversarial Graph Learning
Naheed Anjum Arafat
D. Basu
Yulia R. Gel
Yuzhou Chen
AAML
74
0
0
21 Sep 2024
You Can't Ignore Either: Unifying Structure and Feature Denoising for
  Robust Graph Learning
You Can't Ignore Either: Unifying Structure and Feature Denoising for Robust Graph Learning
Tianmeng Yang
Jiahao Meng
Min Zhou
Yaming Yang
Yujing Wang
Xiangtai Li
Yunhai Tong
NoLa
19
1
0
01 Aug 2024
Debiased Graph Poisoning Attack via Contrastive Surrogate Objective
Debiased Graph Poisoning Attack via Contrastive Surrogate Objective
Kanghoon Yoon
Yeonjun In
Namkyeong Lee
Kibum Kim
Chanyoung Park
AAML
18
2
0
27 Jul 2024
RIDA: A Robust Attack Framework on Incomplete Graphs
RIDA: A Robust Attack Framework on Incomplete Graphs
Jianke Yu
Hanchen Wang
Chen Chen
Xiaoyang Wang
Wenjie Zhang
Ying Zhang
Ying Zhang
Xijuan Liu
GNN
OOD
AAML
36
1
0
25 Jul 2024
Backdoor Graph Condensation
Backdoor Graph Condensation
Jiahao Wu
Ning Lu
Zeiyu Dai
Kun Wang
Wenqi Fan
Shengcai Liu
Qing Li
Ke Tang
AAML
DD
58
5
0
03 Jul 2024
Simplified PCNet with Robustness
Simplified PCNet with Robustness
Bingheng Li
Xuanting Xie
Haoxiang Lei
Ruiyi Fang
Zhao Kang
27
5
0
06 Mar 2024
Use of Graph Neural Networks in Aiding Defensive Cyber Operations
Use of Graph Neural Networks in Aiding Defensive Cyber Operations
Shaswata Mitra
Trisha Chakraborty
Subash Neupane
Aritran Piplai
Sudip Mittal
AAML
32
3
0
11 Jan 2024
Adversarial Attacks on Fairness of Graph Neural Networks
Adversarial Attacks on Fairness of Graph Neural Networks
Binchi Zhang
Yushun Dong
Chen Chen
Yada Zhu
Minnan Luo
Jundong Li
25
3
0
20 Oct 2023
Adversarial Robustness in Graph Neural Networks: A Hamiltonian Approach
Adversarial Robustness in Graph Neural Networks: A Hamiltonian Approach
Kai Zhao
Qiyu Kang
Yang Song
Rui She
Sijie Wang
Wee Peng Tay
AAML
25
21
0
10 Oct 2023
GSLB: The Graph Structure Learning Benchmark
GSLB: The Graph Structure Learning Benchmark
Zhixun Li
Liang Wang
Xin Sun
Yifan Luo
Yanqiao Zhu
...
Xiangxin Zhou
Qiang Liu
Shu Wu
Liang Wang
Jeffrey Xu Yu
33
33
0
08 Oct 2023
Learning How to Propagate Messages in Graph Neural Networks
Learning How to Propagate Messages in Graph Neural Networks
Teng Xiao
Zhengyu Chen
Donglin Wang
Suhang Wang
GNN
17
76
0
01 Oct 2023
Everything Perturbed All at Once: Enabling Differentiable Graph Attacks
Everything Perturbed All at Once: Enabling Differentiable Graph Attacks
Haoran Liu
Bokun Wang
Jianling Wang
Xiangjue Dong
Tianbao Yang
James Caverlee
AAML
26
3
0
29 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
30
4
0
02 Aug 2023
Towards Reasonable Budget Allocation in Untargeted Graph Structure
  Attacks via Gradient Debias
Towards Reasonable Budget Allocation in Untargeted Graph Structure Attacks via Gradient Debias
Zihan Liu
Yun Luo
Lirong Wu
Zicheng Liu
Stan Z. Li
AAML
8
25
0
29 Mar 2023
Are Defenses for Graph Neural Networks Robust?
Are Defenses for Graph Neural Networks Robust?
Felix Mujkanovic
Simon Geisler
Stephan Günnemann
Aleksandar Bojchevski
OOD
AAML
19
56
0
31 Jan 2023
Resisting Graph Adversarial Attack via Cooperative Homophilous
  Augmentation
Resisting Graph Adversarial Attack via Cooperative Homophilous Augmentation
Zhihao Zhu
Chenwang Wu
Mingyang Zhou
Hao Liao
DefuLian
Enhong Chen
AAML
11
4
0
15 Nov 2022
FocusedCleaner: Sanitizing Poisoned Graphs for Robust GNN-based Node
  Classification
FocusedCleaner: Sanitizing Poisoned Graphs for Robust GNN-based Node Classification
Yulin Zhu
Liang Tong
Gaolei Li
Xiapu Luo
Kai Zhou
14
4
0
25 Oct 2022
Augmentations in Hypergraph Contrastive Learning: Fabricated and
  Generative
Augmentations in Hypergraph Contrastive Learning: Fabricated and Generative
Tianxin Wei
Yuning You
Tianlong Chen
Yang Shen
Jingrui He
Zhangyang Wang
19
45
0
07 Oct 2022
Automated Graph Self-supervised Learning via Multi-teacher Knowledge
  Distillation
Automated Graph Self-supervised Learning via Multi-teacher Knowledge Distillation
Lirong Wu
Yufei Huang
Haitao Lin
Zicheng Liu
Tianyu Fan
Stan Z. Li
SSL
32
5
0
05 Oct 2022
How Powerful is Implicit Denoising in Graph Neural Networks
How Powerful is Implicit Denoising in Graph Neural Networks
Songtao Liu
Rex Ying
Hanze Dong
Lu Lin
Jinghui Chen
Di Wu
GNN
AI4CE
14
3
0
29 Sep 2022
Robust Node Classification on Graphs: Jointly from Bayesian Label
  Transition and Topology-based Label Propagation
Robust Node Classification on Graphs: Jointly from Bayesian Label Transition and Topology-based Label Propagation
Jun Zhuang
M. Hasan
23
20
0
21 Aug 2022
Adversarial Camouflage for Node Injection Attack on Graphs
Adversarial Camouflage for Node Injection Attack on Graphs
Shuchang Tao
Qi Cao
Huawei Shen
Yunfan Wu
Liang Hou
Fei Sun
Xueqi Cheng
AAML
GNN
20
21
0
03 Aug 2022
Reliable Representations Make A Stronger Defender: Unsupervised
  Structure Refinement for Robust GNN
Reliable Representations Make A Stronger Defender: Unsupervised Structure Refinement for Robust GNN
Kuan Li
Yang Liu
Xiang Ao
Jianfeng Chi
Jinghua Feng
Hao Yang
Qing He
AAML
36
63
0
30 Jun 2022
Transferable Graph Backdoor Attack
Transferable Graph Backdoor Attack
Shuiqiao Yang
Bao Gia Doan
Paul Montague
O. Vel
Tamas Abraham
S. Çamtepe
D. Ranasinghe
S. Kanhere
AAML
27
36
0
21 Jun 2022
Strategic Classification with Graph Neural Networks
Strategic Classification with Graph Neural Networks
Itay Eilat
Ben Finkelshtein
Chaim Baskin
Nir Rosenfeld
22
11
0
31 May 2022
Large-Scale Privacy-Preserving Network Embedding against Private Link
  Inference Attacks
Large-Scale Privacy-Preserving Network Embedding against Private Link Inference Attacks
Xiao Han
Leye Wang
Junjie Wu
Yuncong Yang
11
4
0
28 May 2022
EvenNet: Ignoring Odd-Hop Neighbors Improves Robustness of Graph Neural
  Networks
EvenNet: Ignoring Odd-Hop Neighbors Improves Robustness of Graph Neural Networks
Runlin Lei
Zhen Wang
Yaliang Li
Bolin Ding
Zhewei Wei
AAML
14
38
0
27 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
41
104
0
16 May 2022
Bandits for Structure Perturbation-based Black-box Attacks to Graph
  Neural Networks with Theoretical Guarantees
Bandits for Structure Perturbation-based Black-box Attacks to Graph Neural Networks with Theoretical Guarantees
Binghui Wang
Youqin Li
Pan Zhou
AAML
16
13
0
07 May 2022
Detecting Topology Attacks against Graph Neural Networks
Detecting Topology Attacks against Graph Neural Networks
Senrong Xu
Yuan Yao
Liangyue Li
Wei Yang
F. Xu
Hanghang Tong
25
3
0
21 Apr 2022
Neighbor Enhanced Graph Convolutional Networks for Node Classification
  and Recommendation
Neighbor Enhanced Graph Convolutional Networks for Node Classification and Recommendation
Hao Chen
Zhong Huang
Yue Xu
Zengde Deng
Feiran Huang
Peng He
Zhoujun Li
GNN
11
49
0
30 Mar 2022
Model-Agnostic Augmentation for Accurate Graph Classification
Model-Agnostic Augmentation for Accurate Graph Classification
Jaemin Yoo
Sooyeon Shim
U. Kang
GNN
14
29
0
21 Feb 2022
Graph Data Augmentation for Graph Machine Learning: A Survey
Graph Data Augmentation for Graph Machine Learning: A Survey
Tong Zhao
Wei Jin
Yozen Liu
Yingheng Wang
Gang Liu
Stephan Günnemann
Neil Shah
Meng-Long Jiang
OOD
20
78
0
17 Feb 2022
Robust Graph Representation Learning for Local Corruption Recovery
Robust Graph Representation Learning for Local Corruption Recovery
Bingxin Zhou
Yuanhong Jiang
Yu Guang Wang
Jingwei Liang
Junbin Gao
Shirui Pan
Xiaoqun Zhang
OOD
28
12
0
10 Feb 2022
Unsupervised Graph Poisoning Attack via Contrastive Loss
  Back-propagation
Unsupervised Graph Poisoning Attack via Contrastive Loss Back-propagation
Sixiao Zhang
Hongxu Chen
Xiangguo Sun
Yicong Li
Guandong Xu
AAML
SSL
17
42
0
20 Jan 2022
Neighboring Backdoor Attacks on Graph Convolutional Network
Neighboring Backdoor Attacks on Graph Convolutional Network
Liang Chen
Qibiao Peng
Jintang Li
Yang Liu
Jiawei Chen
Yong Li
Zibin Zheng
GNN
AAML
22
11
0
17 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
14
60
0
15 Dec 2021
Graph Robustness Benchmark: Benchmarking the Adversarial Robustness of
  Graph Machine Learning
Graph Robustness Benchmark: Benchmarking the Adversarial Robustness of Graph Machine Learning
Qinkai Zheng
Xu Zou
Yuxiao Dong
Yukuo Cen
Da Yin
Jiarong Xu
Yang Yang
Jie Tang
OOD
AAML
30
50
0
08 Nov 2021
Graph Posterior Network: Bayesian Predictive Uncertainty for Node
  Classification
Graph Posterior Network: Bayesian Predictive Uncertainty for Node Classification
Maximilian Stadler
Bertrand Charpentier
Simon Geisler
Daniel Zügner
Stephan Günnemann
UQCV
BDL
28
80
0
26 Oct 2021
On the Convergence Theory for Hessian-Free Bilevel Algorithms
On the Convergence Theory for Hessian-Free Bilevel Algorithms
Daouda Sow
Kaiyi Ji
Yingbin Liang
17
28
0
13 Oct 2021
Node Feature Kernels Increase Graph Convolutional Network Robustness
Node Feature Kernels Increase Graph Convolutional Network Robustness
M. Seddik
Changmin Wu
J. Lutzeyer
Michalis Vazirgiannis
AAML
15
8
0
04 Sep 2021
Towards Self-Explainable Graph Neural Network
Towards Self-Explainable Graph Neural Network
Enyan Dai
Suhang Wang
25
83
0
26 Aug 2021
Improved Robustness and Safety for Pre-Adaptation of Meta Reinforcement
  Learning with Prior Regularization
Improved Robustness and Safety for Pre-Adaptation of Meta Reinforcement Learning with Prior Regularization
Lu Wen
Songan Zhang
H. E. Tseng
Baljeet Singh
Dimitar Filev
H. Peng
OffRL
OnRL
17
1
0
19 Aug 2021
Jointly Attacking Graph Neural Network and its Explanations
Jointly Attacking Graph Neural Network and its Explanations
Wenqi Fan
Wei Jin
Xiaorui Liu
Han Xu
Xianfeng Tang
Suhang Wang
Qing Li
Jiliang Tang
Jianping Wang
Charu C. Aggarwal
AAML
27
28
0
07 Aug 2021
Advances in adversarial attacks and defenses in computer vision: A
  survey
Advances in adversarial attacks and defenses in computer vision: A survey
Naveed Akhtar
Ajmal Saeed Mian
Navid Kardan
M. Shah
AAML
22
234
0
01 Aug 2021
Subgraph Federated Learning with Missing Neighbor Generation
Subgraph Federated Learning with Missing Neighbor Generation
Ke Zhang
Carl Yang
Xiaoxiao Li
Lichao Sun
S. Yiu
FedML
16
162
0
25 Jun 2021
12
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