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Understanding and Improving Graph Injection Attack by Promoting
  Unnoticeability

Understanding and Improving Graph Injection Attack by Promoting Unnoticeability

16 February 2022
Yongqiang Chen
Han Yang
Yonggang Zhang
Kaili Ma
Tongliang Liu
Bo Han
James Cheng
    AAML
ArXivPDFHTML

Papers citing "Understanding and Improving Graph Injection Attack by Promoting Unnoticeability"

18 / 18 papers shown
Title
Krait: A Backdoor Attack Against Graph Prompt Tuning
Krait: A Backdoor Attack Against Graph Prompt Tuning
Ying Song
Rita Singh
Balaji Palanisamy
AAML
52
0
0
18 Jul 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
59
3
0
05 Jan 2024
Does Invariant Graph Learning via Environment Augmentation Learn
  Invariance?
Does Invariant Graph Learning via Environment Augmentation Learn Invariance?
Yongqiang Chen
Yatao Bian
Kaiwen Zhou
Binghui Xie
Bo Han
James Cheng
OOD
31
34
0
29 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
22
0
10 Oct 2023
A Survey on Privacy in Graph Neural Networks: Attacks, Preservation, and
  Applications
A Survey on Privacy in Graph Neural Networks: Attacks, Preservation, and Applications
Yi Zhang
Yuying Zhao
Zhaoqing Li
Xueqi Cheng
Yu-Chiang Frank Wang
Olivera Kotevska
Philip S. Yu
Tyler Derr
26
10
0
31 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
45
4
0
02 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
32
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
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
GANI: Global Attacks on Graph Neural Networks via Imperceptible Node
  Injections
GANI: Global Attacks on Graph Neural Networks via Imperceptible Node Injections
Junyuan Fang
Haixian Wen
Jiajing Wu
Qi Xuan
Zibin Zheng
Chi K. Tse
AAML
39
22
0
23 Oct 2022
Natural Color Fool: Towards Boosting Black-box Unrestricted Attacks
Natural Color Fool: Towards Boosting Black-box Unrestricted Attacks
Shengming Yuan
Qilong Zhang
Lianli Gao
Yaya Cheng
Jingkuan Song
AAML
24
42
0
05 Oct 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
30
21
0
03 Aug 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
26
42
0
27 May 2022
A Survey of Trustworthy Graph Learning: Reliability, Explainability, and
  Privacy Protection
A Survey of Trustworthy Graph Learning: Reliability, Explainability, and Privacy Protection
Bingzhe Wu
Jintang Li
Junchi Yu
Yatao Bian
Hengtong Zhang
...
Guangyu Sun
Peng Cui
Zibin Zheng
Zhe Liu
P. Zhao
OOD
37
25
0
20 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
45
104
0
16 May 2022
Geom-GCN: Geometric Graph Convolutional Networks
Geom-GCN: Geometric Graph Convolutional Networks
Hongbin Pei
Bingzhen Wei
Kevin Chen-Chuan Chang
Yu Lei
Bo Yang
GNN
169
1,078
0
13 Feb 2020
Representation Learning on Graphs with Jumping Knowledge Networks
Representation Learning on Graphs with Jumping Knowledge Networks
Keyulu Xu
Chengtao Li
Yonglong Tian
Tomohiro Sonobe
Ken-ichi Kawarabayashi
Stefanie Jegelka
GNN
267
1,945
0
09 Jun 2018
Model-Agnostic Meta-Learning for Fast Adaptation of Deep Networks
Model-Agnostic Meta-Learning for Fast Adaptation of Deep Networks
Chelsea Finn
Pieter Abbeel
Sergey Levine
OOD
338
11,684
0
09 Mar 2017
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