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1810.10751
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Attack Graph Convolutional Networks by Adding Fake Nodes
25 October 2018
Xiaoyun Wang
Minhao Cheng
Joe Eaton
Cho-Jui Hsieh
S. F. Wu
AAML
GNN
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Papers citing
"Attack Graph Convolutional Networks by Adding Fake Nodes"
38 / 38 papers shown
Title
How Feasible is Augmenting Fake Nodes with Learnable Features as a Counter-strategy against Link Stealing Attacks?
Mir Imtiaz Mostafiz
Imtiaz Karim
Elisa Bertino
AAML
64
0
0
12 Mar 2025
When Witnesses Defend: A Witness Graph Topological Layer for Adversarial Graph Learning
Naheed Anjum Arafat
D. Basu
Yulia R. Gel
Yuzhou Chen
AAML
104
0
0
21 Sep 2024
Intruding with Words: Towards Understanding Graph Injection Attacks at the Text Level
Runlin Lei
Yuwei Hu
Yuchen Ren
Zhewei Wei
32
2
0
26 May 2024
Certifying Robustness of Graph Convolutional Networks for Node Perturbation with Polyhedra Abstract Interpretation
Boqi Chen
Kristóf Marussy
Oszkár Semeráth
Gunter Mussbacher
Dániel Varró
AAML
16
0
0
14 May 2024
Explainability-Based Adversarial Attack on Graphs Through Edge Perturbation
Dibaloke Chanda
Saba Heidari Gheshlaghi
Nasim Yahya Soltani
AAML
15
0
0
28 Dec 2023
GNNBleed: Inference Attacks to Unveil Private Edges in Graphs with Realistic Access to GNN Models
Zeyu Song
Ehsanul Kabir
Shagufta Mehnaz
19
0
0
03 Nov 2023
Weisfeiler and Leman Go Measurement Modeling: Probing the Validity of the WL Test
Arjun Subramonian
Adina Williams
Maximilian Nickel
Yizhou Sun
Levent Sagun
21
0
0
11 Jul 2023
Towards Deep Attention in Graph Neural Networks: Problems and Remedies
Soo Yong Lee
Fanchen Bu
Jaemin Yoo
Kijung Shin
GNN
11
30
0
04 Jun 2023
Node Injection for Class-specific Network Poisoning
Ansh Sharma
Rahul Kukreja
Mayank Kharbanda
Tanmoy Chakraborty
AAML
GNN
18
12
0
28 Jan 2023
GUAP: Graph Universal Attack Through Adversarial Patching
Xiao Zang
Jie Chen
Bo Yuan
AAML
13
4
0
04 Jan 2023
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
Analysis of Convolutions, Non-linearity and Depth in Graph Neural Networks using Neural Tangent Kernel
Mahalakshmi Sabanayagam
P. Esser
D. Ghoshdastidar
26
2
0
18 Oct 2022
Sparse Vicious Attacks on Graph Neural Networks
Giovanni Trappolini
Valentino Maiorca
Silvio Severino
Emanuele Rodolà
Fabrizio Silvestri
Gabriele Tolomei
AAML
30
8
0
20 Sep 2022
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
Projective Ranking-based GNN Evasion Attacks
He Zhang
Xingliang Yuan
Chuan Zhou
Shirui Pan
AAML
34
23
0
25 Feb 2022
Understanding and Improving Graph Injection Attack by Promoting Unnoticeability
Yongqiang Chen
Han Yang
Yonggang Zhang
Kaili Ma
Tongliang Liu
Bo Han
James Cheng
AAML
19
81
0
16 Feb 2022
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
Improving Peer Assessment with Graph Convolutional Networks
Alireza A. Namanloo
Julie Thorpe
Amirali Salehi-Abari
GNN
18
2
0
04 Nov 2021
Surrogate Representation Learning with Isometric Mapping for Gray-box Graph Adversarial Attacks
Zihan Liu
Yun Luo
Z. Zang
Stan Z. Li
AAML
11
15
0
20 Oct 2021
Graph-Fraudster: Adversarial Attacks on Graph Neural Network Based Vertical Federated Learning
Jinyin Chen
Guohan Huang
Haibin Zheng
Shanqing Yu
Wenrong Jiang
Chen Cui
AAML
FedML
74
32
0
13 Oct 2021
Cluster Attack: Query-based Adversarial Attacks on Graphs with Graph-Dependent Priors
Zhengyi Wang
Zhongkai Hao
Ziqiao Wang
Hang Su
Jun Zhu
AAML
GNN
35
17
0
27 Sep 2021
A Hard Label Black-box Adversarial Attack Against Graph Neural Networks
Jiaming Mu
Binghui Wang
Qi Li
Kun Sun
Mingwei Xu
Zhuotao Liu
AAML
15
33
0
21 Aug 2021
WebGraph: Capturing Advertising and Tracking Information Flows for Robust Blocking
S. Siby
Umar Iqbal
Steven Englehardt
Zubair Shafiq
Carmela Troncoso
AAML
8
28
0
23 Jul 2021
Graphfool: Targeted Label Adversarial Attack on Graph Embedding
Jinyin Chen
Xiang Lin
Dunjie Zhang
Haibin Zheng
Guohan Huang
Hui Xiong
Xiang Lin
AAML
46
3
0
24 Feb 2021
GraphAttacker: A General Multi-Task GraphAttack Framework
Jinyin Chen
Dunjie Zhang
Zhaoyan Ming
Kejie Huang
Wenrong Jiang
Chen Cui
AAML
31
14
0
18 Jan 2021
Blindfolded Attackers Still Threatening: Strict Black-Box Adversarial Attacks on Graphs
Jiarong Xu
Yizhou Sun
Xin Jiang
Yanhao Wang
Yang Yang
Chunping Wang
Jiangang Lu
AAML
26
14
0
12 Dec 2020
A Targeted Universal Attack on Graph Convolutional Network
Jiazhu Dai
Weifeng Zhu
Xiangfeng Luo
AAML
GNN
11
19
0
29 Nov 2020
Deperturbation of Online Social Networks via Bayesian Label Transition
Jun Zhuang
M. Hasan
AAML
19
10
0
27 Oct 2020
Auditing the Sensitivity of Graph-based Ranking with Visual Analytics
Tiankai Xie
Yuxin Ma
Hanghang Tong
My T. Thai
Ross Maciejewski
MLAU
22
7
0
15 Sep 2020
Semantic-preserving Reinforcement Learning Attack Against Graph Neural Networks for Malware Detection
Lan Zhang
Peng Liu
Yoon-Ho Choi
Ping Chen
AAML
17
35
0
11 Sep 2020
A Survey of Adversarial Learning on Graphs
Liang Chen
Jintang Li
Jiaying Peng
Tao Xie
Zengxu Cao
Kun Xu
Xiangnan He
Zibin Zheng
Bingzhe Wu
AAML
13
83
0
10 Mar 2020
Graph Universal Adversarial Attacks: A Few Bad Actors Ruin Graph Learning Models
Xiao Zang
Yi Xie
Jie Chen
Bo Yuan
AAML
15
47
0
12 Feb 2020
Time-aware Gradient Attack on Dynamic Network Link Prediction
Jinyin Chen
Jian Andrew Zhang
Z. Chen
Min Du
Qi Xuan
AAML
19
35
0
24 Nov 2019
A Unified Framework for Data Poisoning Attack to Graph-based Semi-supervised Learning
Xuanqing Liu
Si Si
Xiaojin Zhu
Yang Li
Cho-Jui Hsieh
AAML
22
76
0
30 Oct 2019
Attacking Graph Convolutional Networks via Rewiring
Yao Ma
Suhang Wang
Tyler Derr
Lingfei Wu
Jiliang Tang
AAML
GNN
16
82
0
10 Jun 2019
Adversarial Examples on Graph Data: Deep Insights into Attack and Defense
Huijun Wu
Chen Wang
Y. Tyshetskiy
Andrew Docherty
Kai Lu
Liming Zhu
AAML
GNN
11
5
0
05 Mar 2019
Adversarial Attack and Defense on Graph Data: A Survey
Lichao Sun
Yingtong Dou
Carl Yang
Ji Wang
Yixin Liu
Philip S. Yu
Lifang He
B. Li
GNN
AAML
16
273
0
26 Dec 2018
Adversarial Machine Learning at Scale
Alexey Kurakin
Ian Goodfellow
Samy Bengio
AAML
256
3,109
0
04 Nov 2016
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