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Adversarial Attacks on Neural Networks for Graph Data
v1v2v3v4 (latest)

Adversarial Attacks on Neural Networks for Graph Data

21 May 2018
Daniel Zügner
Amir Akbarnejad
Stephan Günnemann
    GNNAAMLOOD
ArXiv (abs)PDFHTML

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

50 / 323 papers shown
Title
JANUS: A Dual-Constraint Generative Framework for Stealthy Node Injection Attacks
JANUS: A Dual-Constraint Generative Framework for Stealthy Node Injection Attacks
Jiahao Zhang
Xiaobing Pei
Zhaokun Zhong
Wenqiang Hao
Zhenghao Tang
AAMLGNN
0
0
0
16 Sep 2025
From Eigenmodes to Proofs: Integrating Graph Spectral Operators with Symbolic Interpretable Reasoning
From Eigenmodes to Proofs: Integrating Graph Spectral Operators with Symbolic Interpretable Reasoning
Andrew Kiruluta
Priscilla Burity
0
0
0
07 Sep 2025
Exact Verification of Graph Neural Networks with Incremental Constraint Solving
Exact Verification of Graph Neural Networks with Incremental Constraint Solving
Minghao Liu
Chia-Hsuan Lu
Marta Kwiatkowska
AAML
40
0
0
12 Aug 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
553
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
164
0
0
29 Apr 2025
Exploiting Meta-Learning-based Poisoning Attacks for Graph Link Prediction
Exploiting Meta-Learning-based Poisoning Attacks for Graph Link Prediction
Mingchen Li
Di Zhuang
Keyu Chen
Dumindu Samaraweera
Morris Chang
AAML
106
0
0
08 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
165
1
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
DiffMAAML
235
1
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
101
0
0
04 Feb 2025
Personalized Layer Selection for Graph Neural Networks
Personalized Layer Selection for Graph Neural Networks
Kartik Sharma
Vineeth Rakesh Mohan
Yingtong Dou
Srijan Kumar
Mahashweta Das
206
0
0
24 Jan 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
599
3
0
21 Sep 2024
GAIM: Attacking Graph Neural Networks via Adversarial Influence
  Maximization
GAIM: Attacking Graph Neural Networks via Adversarial Influence Maximization
Xiaodong Yang
Xiaoting Li
Huiyuan Chen
Yiwei Cai
AAML
65
0
0
20 Aug 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
94
3
0
01 Aug 2024
Securing the Diagnosis of Medical Imaging: An In-depth Analysis of
  AI-Resistant Attacks
Securing the Diagnosis of Medical Imaging: An In-depth Analysis of AI-Resistant Attacks
A. Biswas
Md Abdullah Al Nasim
Chen Chen
Weiming Zhuang
Abdur Rashid
AAML
87
3
0
01 Aug 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
GNNOODAAML
191
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
AAMLDD
317
6
0
03 Jul 2024
GraphMU: Repairing Robustness of Graph Neural Networks via Machine
  Unlearning
GraphMU: Repairing Robustness of Graph Neural Networks via Machine Unlearning
Tao Wu
Xinwen Cao
Chao Wang
Shaojie Qiao
Xingping Xian
Lin Yuan
Canyixing Cui
Yanbing Liu
AAML
121
2
0
19 Jun 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
104
0
0
26 Mar 2024
Applying Self-supervised Learning to Network Intrusion Detection for
  Network Flows with Graph Neural Network
Applying Self-supervised Learning to Network Intrusion Detection for Network Flows with Graph Neural Network
Renjie Xu
Guangwei Wu
Weiping Wang
Xing Gao
An He
Zhengpeng Zhang
SSL
112
37
0
03 Mar 2024
Collective Certified Robustness against Graph Injection Attacks
Collective Certified Robustness against Graph Injection Attacks
Y. Lai
Bailin Pan
Kaihuang Chen
Yancheng Yuan
Wei Song
AAML
117
3
0
03 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
229
63
0
14 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
141
4
0
08 Jan 2024
A Malware Classification Survey on Adversarial Attacks and Defences
A Malware Classification Survey on Adversarial Attacks and Defences
Mahesh Ponnuru
Likhitha Amasala
Tanu Sree Bhimavarapu
Guna Chaitanya Garikipati
AAML
57
4
0
15 Dec 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
AAMLSILM
223
4
0
20 Nov 2023
Unscrambling the Rectification of Adversarial Attacks Transferability
  across Computer Networks
Unscrambling the Rectification of Adversarial Attacks Transferability across Computer Networks
Ehsan Nowroozi
Samaneh Ghelichkhani
Imran Haider
Ali Dehghantanha
AAML
65
0
0
26 Oct 2023
Resurrecting Label Propagation for Graphs with Heterophily and Label
  Noise
Resurrecting Label Propagation for Graphs with Heterophily and Label Noise
Yao Cheng
Caihua Shan
Yifei Shen
Xiang Li
Siqiang Luo
Dongsheng Li
152
6
0
25 Oct 2023
Learning How to Propagate Messages in Graph Neural Networks
Learning How to Propagate Messages in Graph Neural Networks
Teng Xiao
Ruihao Zhang
Xuetao Zhang
Suhang Wang
GNN
136
82
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
123
3
0
29 Aug 2023
Expressivity of Graph Neural Networks Through the Lens of Adversarial
  Robustness
Expressivity of Graph Neural Networks Through the Lens of Adversarial Robustness
Francesco Campi
Lukas Gosch
Thomas Wollschläger
Yan Scholten
Stephan Günnemann
AAML
123
2
0
16 Aug 2023
Kairos: Practical Intrusion Detection and Investigation using
  Whole-system Provenance
Kairos: Practical Intrusion Detection and Investigation using Whole-system Provenance
Zijun Cheng
Qiujian Lv
Jinyuan Liang
Yan Wang
Degang Sun
Thomas Pasquier
Xueyuan Han
128
57
0
09 Aug 2023
An Introduction to Bi-level Optimization: Foundations and Applications
  in Signal Processing and Machine Learning
An Introduction to Bi-level Optimization: Foundations and Applications in Signal Processing and Machine Learning
Yihua Zhang
Prashant Khanduri
Ioannis C. Tsaknakis
Yuguang Yao
Min-Fong Hong
Sijia Liu
AI4CE
198
34
0
01 Aug 2023
Robust Graph Contrastive Learning with Information Restoration
Robust Graph Contrastive Learning with Information Restoration
Yulin Zhu
Xing Ai
Yevgeniy Vorobeychik
Wei Song
AAML
148
0
0
24 Jul 2023
A DPLL(T) Framework for Verifying Deep Neural Networks
A DPLL(T) Framework for Verifying Deep Neural Networks
Hai V. Duong
Thanh-Dat Nguyen
Matthew B. Dwyer
167
11
0
17 Jul 2023
Demystifying Structural Disparity in Graph Neural Networks: Can One Size
  Fit All?
Demystifying Structural Disparity in Graph Neural Networks: Can One Size Fit All?
Haitao Mao
Zhikai Chen
Wei Jin
Haoyu Han
Yao Ma
Tong Zhao
Neil Shah
Jiliang Tang
190
39
0
02 Jun 2023
SlothSpeech: Denial-of-service Attack Against Speech Recognition Models
SlothSpeech: Denial-of-service Attack Against Speech Recognition Models
Mirazul Haque
Rutvij J. Shah
Simin Chen
Berrak cSicsman
Cong Liu
Wei Yang
AuLLMAAML
94
7
0
01 Jun 2023
Complex Query Answering on Eventuality Knowledge Graph with Implicit
  Logical Constraints
Complex Query Answering on Eventuality Knowledge Graph with Implicit Logical Constraints
Jiaxin Bai
Xin Liu
Weiqi Wang
Chen Luo
Yangqiu Song
NAI
104
32
0
30 May 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
AAMLOOD
147
6
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
118
5
0
04 May 2023
Revisiting Robustness in Graph Machine Learning
Revisiting Robustness in Graph Machine Learning
Lukas Gosch
Daniel Sturm
Simon Geisler
Stephan Günnemann
AAMLOOD
227
24
0
01 May 2023
Medium. Permeation: SARS-COV-2 Painting Creation by Generative Model
Medium. Permeation: SARS-COV-2 Painting Creation by Generative Model
Yuanfu Yang
Iuan-Kai Fang
Min Sun
S. Hsu
MedIm
105
0
0
22 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
112
27
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
159
36
0
28 Mar 2023
Turning Strengths into Weaknesses: A Certified Robustness Inspired
  Attack Framework against Graph Neural Networks
Turning Strengths into Weaknesses: A Certified Robustness Inspired Attack Framework against Graph Neural Networks
Binghui Wang
Meng Pang
Yun Dong
AAML
84
17
0
10 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
113
9
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
164
5
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
156
31
0
11 Feb 2023
Unnoticeable Backdoor Attacks on Graph Neural Networks
Unnoticeable Backdoor Attacks on Graph Neural Networks
Enyan Dai
Minhua Lin
Xiang Zhang
Suhang Wang
AAML
138
62
0
11 Feb 2023
Collective Robustness Certificates: Exploiting Interdependence in Graph
  Neural Networks
Collective Robustness Certificates: Exploiting Interdependence in Graph Neural Networks
Jan Schuchardt
Aleksandar Bojchevski
Johannes Gasteiger
Stephan Günnemann
AAML
105
27
0
06 Feb 2023
Are Defenses for Graph Neural Networks Robust?
Are Defenses for Graph Neural Networks Robust?
Felix Mujkanovic
Simon Geisler
Stephan Günnemann
Aleksandar Bojchevski
OODAAML
112
62
0
31 Jan 2023
GUAP: Graph Universal Attack Through Adversarial Patching
GUAP: Graph Universal Attack Through Adversarial Patching
Xiao Zang
Jie Chen
Bo Yuan
AAML
85
4
0
04 Jan 2023
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