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1809.01093
Cited By
Adversarial Attacks on Node Embeddings via Graph Poisoning
4 September 2018
Aleksandar Bojchevski
Stephan Günnemann
AAML
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Papers citing
"Adversarial Attacks on Node Embeddings via Graph Poisoning"
50 / 52 papers shown
Title
VGFL-SA: Vertical Graph Federated Learning Structure Attack Based on Contrastive Learning
Yang Chen
Bin Zhou
AAML
FedML
43
0
0
24 Feb 2025
When Witnesses Defend: A Witness Graph Topological Layer for Adversarial Graph Learning
Naheed Anjum Arafat
D. Basu
Yulia R. Gel
Yuzhou Chen
AAML
178
0
0
21 Sep 2024
Sub-graph Based Diffusion Model for Link Prediction
Hang Li
Wei Jin
Geri Skenderi
Harry Shomer
Wenzhuo Tang
Wenqi Fan
Jiliang Tang
DiffM
33
0
0
13 Sep 2024
RIDA: A Robust Attack Framework on Incomplete Graphs
Jianke Yu
Hanchen Wang
Chen Chen
Xiaoyang Wang
Wenjie Zhang
Ying Zhang
Ying Zhang
Xijuan Liu
GNN
OOD
AAML
41
1
0
25 Jul 2024
Backdoor Graph Condensation
Jiahao Wu
Ning Lu
Zeiyu Dai
Kun Wang
Wenqi Fan
Shengcai Liu
Qing Li
Ke Tang
AAML
DD
71
6
0
03 Jul 2024
Link Stealing Attacks Against Inductive Graph Neural Networks
Yixin Wu
Xinlei He
Pascal Berrang
Mathias Humbert
Michael Backes
Neil Zhenqiang Gong
Yang Zhang
42
2
0
09 May 2024
Robust Subgraph Learning by Monitoring Early Training Representations
Sepideh Neshatfar
Salimeh Yasaei Sekeh
AAML
25
0
0
14 Mar 2024
Poisoning
×
\times
×
Evasion: Symbiotic Adversarial Robustness for Graph Neural Networks
Ege Erdogan
Simon Geisler
Stephan Günnemann
AAML
24
0
0
09 Dec 2023
Deceptive Fairness Attacks on Graphs via Meta Learning
Jian Kang
Yinglong Xia
Ross Maciejewski
Jiebo Luo
Hanghang Tong
42
4
0
24 Oct 2023
Adversarial Attacks on Fairness of Graph Neural Networks
Binchi Zhang
Yushun Dong
Chen Chen
Yada Zhu
Minnan Luo
Jundong Li
43
3
0
20 Oct 2023
Everything Perturbed All at Once: Enabling Differentiable Graph Attacks
Haoran Liu
Bokun Wang
Jianling Wang
Xiangjue Dong
Tianbao Yang
James Caverlee
AAML
36
3
0
29 Aug 2023
A Comprehensive Survey on Deep Graph Representation Learning
Wei Ju
Zheng Fang
Yiyang Gu
Zequn Liu
Qingqing Long
...
Jingyang Yuan
Yusheng Zhao
Yifan Wang
Xiao Luo
Ming Zhang
GNN
AI4TS
62
141
0
11 Apr 2023
AdvCat: Domain-Agnostic Robustness Assessment for Cybersecurity-Critical Applications with Categorical Inputs
Helene Orsini
Hongyan Bao
Yujun Zhou
Xiangrui Xu
Yufei Han
Longyang Yi
Wei Wang
Xin Gao
Xiangliang Zhang
AAML
44
1
0
13 Dec 2022
Spectral Augmentation for Self-Supervised Learning on Graphs
Lu Lin
Jinghui Chen
Hongning Wang
OOD
32
48
0
02 Oct 2022
A Systematic Evaluation of Node Embedding Robustness
Alexandru Mara
Jefrey Lijffijt
Stephan Günnemann
T. D. Bie
AAML
22
0
0
16 Sep 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
Strategic Classification with Graph Neural Networks
Itay Eilat
Ben Finkelshtein
Chaim Baskin
Nir Rosenfeld
35
12
0
31 May 2022
Large-Scale Privacy-Preserving Network Embedding against Private Link Inference Attacks
Xiao Han
Leye Wang
Junjie Wu
Yuncong Yang
18
4
0
28 May 2022
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
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
Toward Enhanced Robustness in Unsupervised Graph Representation Learning: A Graph Information Bottleneck Perspective
Jihong Wang
Minnan Luo
Jundong Li
Ziqi Liu
Jun Zhou
Qinghua Zheng
AAML
23
5
0
21 Jan 2022
Unsupervised Graph Poisoning Attack via Contrastive Loss Back-propagation
Sixiao Zhang
Hongxu Chen
Xiangguo Sun
Yicong Li
Guandong Xu
AAML
SSL
25
42
0
20 Jan 2022
Task and Model Agnostic Adversarial Attack on Graph Neural Networks
Kartik Sharma
S. Verma
Sourav Medya
Arnab Bhattacharya
Sayan Ranu
AAML
21
8
0
25 Dec 2021
Model Stealing Attacks Against Inductive Graph Neural Networks
Yun Shen
Xinlei He
Yufei Han
Yang Zhang
19
60
0
15 Dec 2021
Robust Graph Neural Networks via Probabilistic Lipschitz Constraints
R. Arghal
Eric Lei
Shirin Saeedi Bidokhti
19
19
0
14 Dec 2021
Quantifying and Understanding Adversarial Examples in Discrete Input Spaces
Volodymyr Kuleshov
Evgenii Nikishin
S. Thakoor
Tingfung Lau
Stefano Ermon
AAML
27
1
0
12 Dec 2021
Poisoning Knowledge Graph Embeddings via Relation Inference Patterns
Peru Bhardwaj
John D. Kelleher
Luca Costabello
Declan O’Sullivan
139
20
0
11 Nov 2021
Get a Model! Model Hijacking Attack Against Machine Learning Models
A. Salem
Michael Backes
Yang Zhang
AAML
17
28
0
08 Nov 2021
Graph Robustness Benchmark: Benchmarking the Adversarial Robustness of Graph Machine Learning
Qinkai Zheng
Xu Zou
Yuxiao Dong
Yukuo Cen
Da Yin
Jiarong Xu
Yang Yang
Jie Tang
OOD
AAML
30
50
0
08 Nov 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
Trustworthy AI: A Computational Perspective
Haochen Liu
Yiqi Wang
Wenqi Fan
Xiaorui Liu
Yaxin Li
Shaili Jain
Yunhao Liu
Anil K. Jain
Jiliang Tang
FaML
104
196
0
12 Jul 2021
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
32
35
0
14 Jun 2021
Residual Network and Embedding Usage: New Tricks of Node Classification with Graph Convolutional Networks
Huixuan Chi
Yuying Wang
Qinfen Hao
Hong Xia
GNN
24
11
0
18 May 2021
Network Representation Learning: From Traditional Feature Learning to Deep Learning
Ke Sun
Lei Wang
Bo Xu
Wenhong Zhao
S. Teng
Feng Xia
GNN
25
28
0
07 Mar 2021
Adversarial Attack on Network Embeddings via Supervised Network Poisoning
Viresh Gupta
Tanmoy Chakraborty
AAML
36
12
0
14 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
37
14
0
12 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
Information Obfuscation of Graph Neural Networks
Peiyuan Liao
Han Zhao
Keyulu Xu
Tommi Jaakkola
Geoffrey J. Gordon
Stefanie Jegelka
Ruslan Salakhutdinov
AAML
23
34
0
28 Sep 2020
Reinforcement Learning-based Black-Box Evasion Attacks to Link Prediction in Dynamic Graphs
Houxiang Fan
Binghui Wang
Pan Zhou
Ang Li
Meng Pang
Zichuan Xu
Cai Fu
H. Li
Yiran Chen
AAML
MLAU
14
16
0
01 Sep 2020
A Le Cam Type Bound for Adversarial Learning and Applications
Qiuling Xu
Kevin Bello
Jean Honorio
AAML
20
1
0
01 Jul 2020
Backdoor Attacks to Graph Neural Networks
Zaixi Zhang
Jinyuan Jia
Binghui Wang
Neil Zhenqiang Gong
GNN
24
211
0
19 Jun 2020
GNNGuard: Defending Graph Neural Networks against Adversarial Attacks
Xiang Zhang
Marinka Zitnik
AAML
27
287
0
15 Jun 2020
Towards More Practical Adversarial Attacks on Graph Neural Networks
Jiaqi Ma
Shuangrui Ding
Qiaozhu Mei
AAML
17
120
0
09 Jun 2020
Adversarial Attack on Hierarchical Graph Pooling Neural Networks
Haoteng Tang
Guixiang Ma
Yurong Chen
Lei Guo
Wei Wang
Bo Zeng
Liang Zhan
AAML
29
28
0
23 May 2020
Scalable Attack on Graph Data by Injecting Vicious Nodes
Jihong Wang
Minnan Luo
Fnu Suya
Jundong Li
Z. Yang
Q. Zheng
AAML
GNN
27
85
0
22 Apr 2020
Topological Effects on Attacks Against Vertex Classification
B. A. Miller
Mustafa Çamurcu
Alexander J. Gomez
Kevin S. Chan
Tina Eliassi-Rad
AAML
19
2
0
12 Mar 2020
Certified Robustness of Community Detection against Adversarial Structural Perturbation via Randomized Smoothing
Jinyuan Jia
Binghui Wang
Xiaoyu Cao
Neil Zhenqiang Gong
AAML
83
83
0
09 Feb 2020
Certifiable Robustness and Robust Training for Graph Convolutional Networks
Daniel Zügner
Stephan Günnemann
OffRL
39
160
0
28 Jun 2019
Attacking Graph-based Classification via Manipulating the Graph Structure
Binghui Wang
Neil Zhenqiang Gong
AAML
28
152
0
01 Mar 2019
1
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