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Indirect Adversarial Attacks via Poisoning Neighbors for Graph
  Convolutional Networks

Indirect Adversarial Attacks via Poisoning Neighbors for Graph Convolutional Networks

19 February 2020
Tsubasa Takahashi
    GNN
    AAML
ArXivPDFHTML

Papers citing "Indirect Adversarial Attacks via Poisoning Neighbors for Graph Convolutional Networks"

6 / 6 papers shown
Title
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
27
11
0
17 Jan 2022
Dyn-Backdoor: Backdoor Attack on Dynamic Link Prediction
Dyn-Backdoor: Backdoor Attack on Dynamic Link Prediction
Jinyin Chen
Haiyang Xiong
Haibin Zheng
Jian Andrew Zhang
Guodong Jiang
Yi Liu
AAML
SILM
AI4CE
43
10
0
08 Oct 2021
A Hard Label Black-box Adversarial Attack Against Graph Neural Networks
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
How does Heterophily Impact the Robustness of Graph Neural Networks?
  Theoretical Connections and Practical Implications
How does Heterophily Impact the Robustness of Graph Neural Networks? Theoretical Connections and Practical Implications
Jiong Zhu
Junchen Jin
Donald Loveland
Michael T. Schaub
Danai Koutra
AAML
27
35
0
14 Jun 2021
GraphAttacker: A General Multi-Task GraphAttack Framework
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
Adversarial examples in the physical world
Adversarial examples in the physical world
Alexey Kurakin
Ian Goodfellow
Samy Bengio
SILM
AAML
275
5,833
0
08 Jul 2016
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