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Adversarial Attacks on Neural Networks for Graph Data

Adversarial Attacks on Neural Networks for Graph Data

21 May 2018
Daniel Zügner
Amir Akbarnejad
Stephan Günnemann
    GNN
    AAML
    OOD
ArXivPDFHTML

Papers citing "Adversarial Attacks on Neural Networks for Graph Data"

50 / 193 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
51
0
0
06 May 2025
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
194
0
0
05 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
Adaptive Backdoor Attacks with Reasonable Constraints on Graph Neural Networks
Xuewen Dong
Jiachen Li
Shujun Li
Zhichao You
Qiang Qu
Yaroslav Kholodov
Yulong Shen
AAML
43
0
0
12 Mar 2025
Robust Graph Learning Against Adversarial Evasion Attacks via Prior-Free Diffusion-Based Structure Purification
Robust Graph Learning Against Adversarial Evasion Attacks via Prior-Free Diffusion-Based Structure Purification
Jiayi Luo
Qingyun Sun
Haonan Yuan
Xingcheng Fu
Jianxin Li
DiffM
AAML
84
0
0
07 Feb 2025
Query-Based and Unnoticeable Graph Injection Attack from Neighborhood Perspective
Query-Based and Unnoticeable Graph Injection Attack from Neighborhood Perspective
Chang Liu
Hai Huang
Yujie Xing
Xingquan Zuo
AAML
49
0
0
04 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
184
0
0
21 Sep 2024
Learning to Model Graph Structural Information on MLPs via Graph
  Structure Self-Contrasting
Learning to Model Graph Structural Information on MLPs via Graph Structure Self-Contrasting
Lirong Wu
Haitao Lin
Guojiang Zhao
Cheng Tan
Stan Z. Li
31
0
0
09 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
34
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
31
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
41
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
71
6
0
03 Jul 2024
Explainable Graph Neural Networks Under Fire
Explainable Graph Neural Networks Under Fire
Zhong Li
Simon Geisler
Yuhang Wang
Stephan Günnemann
M. Leeuwen
AAML
43
0
0
10 Jun 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
Predicting Transonic Flowfields in Non-Homogeneous Unstructured Grids
  Using Autoencoder Graph Convolutional Networks
Predicting Transonic Flowfields in Non-Homogeneous Unstructured Grids Using Autoencoder Graph Convolutional Networks
Gabriele Immordino
Andrea Vaiuso
A. Ronch
Marcello Righi
AI4CE
21
3
0
07 May 2024
HERTA: A High-Efficiency and Rigorous Training Algorithm for Unfolded
  Graph Neural Networks
HERTA: A High-Efficiency and Rigorous Training Algorithm for Unfolded Graph Neural Networks
Yongyi Yang
Jiaming Yang
Wei Hu
Michal Dereziñski
48
0
0
26 Mar 2024
Robust Subgraph Learning by Monitoring Early Training Representations
Robust Subgraph Learning by Monitoring Early Training Representations
Sepideh Neshatfar
Salimeh Yasaei Sekeh
AAML
25
0
0
14 Mar 2024
Simplified PCNet with Robustness
Simplified PCNet with Robustness
Bingheng Li
Xuanting Xie
Haoxiang Lei
Ruiyi Fang
Zhao Kang
40
5
0
06 Mar 2024
Soft Prompt Threats: Attacking Safety Alignment and Unlearning in Open-Source LLMs through the Embedding Space
Soft Prompt Threats: Attacking Safety Alignment and Unlearning in Open-Source LLMs through the Embedding Space
Leo Schwinn
David Dobre
Sophie Xhonneux
Gauthier Gidel
Stephan Gunnemann
AAML
51
38
0
14 Feb 2024
Continual Learning on Graphs: A Survey
Continual Learning on Graphs: A Survey
Zonggui Tian
Duanhao Zhang
Hong-Ning Dai
47
5
0
09 Feb 2024
Explaining the Power of Topological Data Analysis in Graph Machine
  Learning
Explaining the Power of Topological Data Analysis in Graph Machine Learning
Funmilola Mary Taiwo
Umar Islambekov
Cüneyt Gürcan Akçora
AI4CE
42
3
0
08 Jan 2024
Effective backdoor attack on graph neural networks in link prediction tasks
Effective backdoor attack on graph neural networks in link prediction tasks
Jiazhu Dai
Haoyu Sun
GNN
61
3
0
05 Jan 2024
Poisoning $\times$ Evasion: Symbiotic Adversarial Robustness for Graph
  Neural Networks
Poisoning ×\times× Evasion: Symbiotic Adversarial Robustness for Graph Neural Networks
Ege Erdogan
Simon Geisler
Stephan Günnemann
AAML
24
0
0
09 Dec 2023
On the Trade-Off between Stability and Representational Capacity in
  Graph Neural Networks
On the Trade-Off between Stability and Representational Capacity in Graph Neural Networks
Zhan Gao
Amanda Prorok
Elvin Isufi
38
1
0
04 Dec 2023
Unveiling Vulnerabilities of Contrastive Recommender Systems to
  Poisoning Attacks
Unveiling Vulnerabilities of Contrastive Recommender Systems to Poisoning Attacks
Zongwei Wang
Junliang Yu
Min Gao
Hongzhi Yin
Bin Cui
S. Sadiq
AAML
34
7
0
30 Nov 2023
Hard Label Black Box Node Injection Attack on Graph Neural Networks
Hard Label Black Box Node Injection Attack on Graph Neural Networks
Yu Zhou
Zihao Dong
Guofeng Zhang
Jingchen Tang
AAML
GNN
16
0
0
22 Nov 2023
Beyond Boundaries: A Comprehensive Survey of Transferable Attacks on AI Systems
Beyond Boundaries: A Comprehensive Survey of Transferable Attacks on AI Systems
Guangjing Wang
Ce Zhou
Yuanda Wang
Bocheng Chen
Hanqing Guo
Qiben Yan
AAML
SILM
68
3
0
20 Nov 2023
Artifact-Robust Graph-Based Learning in Digital Pathology
Artifact-Robust Graph-Based Learning in Digital Pathology
Saba Heidari Gheshlaghi
Milan Aryal
Nasim Yahyasoltani
Masoud Ganji
OOD
27
0
0
27 Oct 2023
Deceptive Fairness Attacks on Graphs via Meta Learning
Deceptive Fairness Attacks on Graphs via Meta Learning
Jian Kang
Yinglong Xia
Ross Maciejewski
Jiebo Luo
Hanghang Tong
42
4
0
24 Oct 2023
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
48
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
40
23
0
10 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
34
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
36
3
0
29 Aug 2023
IDEA: Invariant Defense for Graph Adversarial Robustness
IDEA: Invariant Defense for Graph Adversarial Robustness
Shuchang Tao
Qi Cao
Huawei Shen
Yunfan Wu
Bingbing Xu
Xueqi Cheng
AAML
OOD
38
7
0
25 May 2023
Single Node Injection Label Specificity Attack on Graph Neural Networks
  via Reinforcement Learning
Single Node Injection Label Specificity Attack on Graph Neural Networks via Reinforcement Learning
Dayuan Chen
Jian Zhang
Yuqian Lv
Jinhuan Wang
Hongjie Ni
Shanqing Yu
Zhen Wang
Qi Xuan
AAML
23
3
0
04 May 2023
Revisiting Robustness in Graph Machine Learning
Revisiting Robustness in Graph Machine Learning
Lukas Gosch
Daniel Sturm
Simon Geisler
Stephan Günnemann
AAML
OOD
72
21
0
01 May 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
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
30
25
0
29 Mar 2023
A Survey on Malware Detection with Graph Representation Learning
A Survey on Malware Detection with Graph Representation Learning
Tristan Bilot
Nour El Madhoun
Khaldoun Al Agha
Anis Zouaoui
AAML
13
20
0
28 Mar 2023
Node Embedding from Hamiltonian Information Propagation in Graph Neural
  Networks
Node Embedding from Hamiltonian Information Propagation in Graph Neural Networks
Qiyu Kang
Kai Zhao
Yang Song
Sijie Wang
Rui She
Wee Peng Tay
38
0
0
02 Mar 2023
HyperAttack: Multi-Gradient-Guided White-box Adversarial Structure
  Attack of Hypergraph Neural Networks
HyperAttack: Multi-Gradient-Guided White-box Adversarial Structure Attack of Hypergraph Neural Networks
Chao Hu
Ruishi Yu
Binqi Zeng
Yu Zhan
Ying Fu
Quan Zhang
Rongkai Liu
Heyuan Shi
AAML
17
7
0
24 Feb 2023
Digital Privacy Under Attack: Challenges and Enablers
Digital Privacy Under Attack: Challenges and Enablers
Baobao Song
Mengyue Deng
Shiva Raj Pokhrel
Qiujun Lan
R. Doss
Gang Li
AAML
39
3
0
18 Feb 2023
A Survey on Spectral Graph Neural Networks
A Survey on Spectral Graph Neural Networks
Deyu Bo
Xiao Wang
Yang Liu
Yuan Fang
Yawen Li
Chuan Shi
35
25
0
11 Feb 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
21
56
0
31 Jan 2023
Self-organization Preserved Graph Structure Learning with Principle of
  Relevant Information
Self-organization Preserved Graph Structure Learning with Principle of Relevant Information
Qingyun Sun
Jianxin Li
Beining Yang
Xingcheng Fu
Hao Peng
Philip S. Yu
25
11
0
30 Dec 2022
Adversarial Weight Perturbation Improves Generalization in Graph Neural
  Networks
Adversarial Weight Perturbation Improves Generalization in Graph Neural Networks
Yihan Wu
Aleksandar Bojchevski
Heng Huang
AAML
34
30
0
09 Dec 2022
Robust Graph Representation Learning via Predictive Coding
Robust Graph Representation Learning via Predictive Coding
Billy Byiringiro
Tommaso Salvatori
Thomas Lukasiewicz
OOD
31
6
0
09 Dec 2022
Spectral Adversarial Training for Robust Graph Neural Network
Spectral Adversarial Training for Robust Graph Neural Network
Jintang Li
Jiaying Peng
Liang Chen
Zibin Zheng
Tingting Liang
Qing Ling
AAML
OOD
28
18
0
20 Nov 2022
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
33
4
0
25 Oct 2022
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