Papers
Communities
Events
Blog
Pricing
Search
Open menu
Home
Papers
2003.05730
Cited By
A Survey of Adversarial Learning on Graphs
10 March 2020
Liang Chen
Jintang Li
Jiaying Peng
Tao Xie
Zengxu Cao
Kun Xu
Xiangnan He
Zibin Zheng
Bingzhe Wu
AAML
Re-assign community
ArXiv
PDF
HTML
Papers citing
"A Survey of Adversarial Learning on Graphs"
25 / 25 papers shown
Title
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
Graph Neural Network approaches for single-cell data: A recent overview
Konstantinos Lazaros
Dimitrios E Koumadorakis
Vlamos
Aristidis G. Vrahatis
AI4CE
29
7
0
14 Oct 2023
IDEA: Invariant Defense for Graph Adversarial Robustness
Shuchang Tao
Qi Cao
Huawei Shen
Yunfan Wu
Bingbing Xu
Xueqi Cheng
AAML
OOD
35
7
0
25 May 2023
Less Can Be More: Unsupervised Graph Pruning for Large-scale Dynamic Graphs
Jintang Li
Sheng Tian
Ruofan Wu
Liang Zhu
Welong Zhao
Changhua Meng
Liang Chen
Zibin Zheng
Hongzhi Yin
39
10
0
18 May 2023
Graph Neural Networks for Hardware Vulnerability Analysis -- Can you Trust your GNN?
Lilas Alrahis
Ozgur Sinanoglu
28
2
0
29 Mar 2023
USER: Unsupervised Structural Entropy-based Robust Graph Neural Network
Yifei Wang
Yupan Wang
Zeyu Zhang
Song Yang
Kaiqi Zhao
Jiamou Liu
OOD
21
4
0
12 Feb 2023
On Manipulating Weight Predictions in Signed Weighted Networks
Tomasz Lizurej
Tomasz P. Michalak
Stefan Dziembowski
AAML
16
3
0
06 Feb 2023
Spectral Adversarial Training for Robust Graph Neural Network
Jintang Li
Jiaying Peng
Liang Chen
Zibin Zheng
Tingting Liang
Qing Ling
AAML
OOD
28
17
0
20 Nov 2022
Person Text-Image Matching via Text-Feature Interpretability Embedding and External Attack Node Implantation
Fan Li
Hang Zhou
Huafeng Li
Yafei Zhang
Z. Yu
DiffM
35
5
0
16 Nov 2022
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
42
22
0
23 Oct 2022
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
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
39
25
0
20 May 2022
GUARD: Graph Universal Adversarial Defense
Jintang Li
Jie Liao
Ruofan Wu
Liang Chen
Zibin Zheng
Jiawang Dan
Changhua Meng
Weiqiang Wang
AAML
16
8
0
20 Apr 2022
Projective Ranking-based GNN Evasion Attacks
He Zhang
Xingliang Yuan
Chuan Zhou
Shirui Pan
AAML
42
23
0
25 Feb 2022
Recent Advances in Reliable Deep Graph Learning: Inherent Noise, Distribution Shift, and Adversarial Attack
Jintang Li
Bingzhe Wu
Chengbin Hou
Guoji Fu
Yatao Bian
Liang Chen
Junzhou Huang
Zibin Zheng
OOD
AAML
32
6
0
15 Feb 2022
Model Stealing Attacks Against Inductive Graph Neural Networks
Yun Shen
Xinlei He
Yufei Han
Yang Zhang
19
60
0
15 Dec 2021
Understanding Structural Vulnerability in Graph Convolutional Networks
Liang Chen
Jintang Li
Qibiao Peng
Yang Liu
Zibin Zheng
Carl Yang
AAML
21
58
0
13 Aug 2021
NetFense: Adversarial Defenses against Privacy Attacks on Neural Networks for Graph Data
I-Chung Hsieh
Cheng-Te Li
AAML
22
23
0
22 Jun 2021
Intelligent Zero Trust Architecture for 5G/6G Networks: Principles, Challenges, and the Role of Machine Learning in the context of O-RAN
Keyvan Ramezanpour
Jithin Jagannath
21
112
0
04 May 2021
Black-box Gradient Attack on Graph Neural Networks: Deeper Insights in Graph-based Attack and Defense
Haoxi Zhan
Xiaobing Pei
AAML
24
9
0
30 Apr 2021
GraphGallery: A Platform for Fast Benchmarking and Easy Development of Graph Neural Networks Based Intelligent Software
Jintang Li
Kun Xu
Liang Chen
Zibin Zheng
Xiao Liu
GNN
11
12
0
16 Feb 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
34
14
0
12 Dec 2020
I-GCN: Robust Graph Convolutional Network via Influence Mechanism
Haoxi Zhan
Xiaobing Pei
GNN
AAML
27
1
0
11 Dec 2020
Learning to Deceive Knowledge Graph Augmented Models via Targeted Perturbation
Mrigank Raman
Aaron Chan
Siddhant Agarwal
Peifeng Wang
Hansen Wang
Sungchul Kim
Ryan Rossi
Handong Zhao
Nedim Lipka
Xiang Ren
36
19
0
24 Oct 2020
Graph Neural Networks: A Review of Methods and Applications
Jie Zhou
Ganqu Cui
Shengding Hu
Zhengyan Zhang
Cheng Yang
Zhiyuan Liu
Lifeng Wang
Changcheng Li
Maosong Sun
AI4CE
GNN
28
5,400
0
20 Dec 2018
1