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Adversarial Attack on Large Scale Graph

Adversarial Attack on Large Scale Graph

8 September 2020
Jintang Li
Tao Xie
Liang Chen
Fenfang Xie
Xiangnan He
Zibin Zheng
    AAML
ArXivPDFHTML

Papers citing "Adversarial Attack on Large Scale Graph"

11 / 11 papers shown
Title
Quantifying the Noise of Structural Perturbations on Graph Adversarial Attacks
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
Are Defenses for Graph Neural Networks Robust?
Are Defenses for Graph Neural Networks Robust?
Felix Mujkanovic
Simon Geisler
Stephan Günnemann
Aleksandar Bojchevski
OOD
AAML
21
56
0
31 Jan 2023
Spectral Adversarial Training for Robust Graph Neural Network
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
Motif-Backdoor: Rethinking the Backdoor Attack on Graph Neural Networks
  via Motifs
Motif-Backdoor: Rethinking the Backdoor Attack on Graph Neural Networks via Motifs
Haibin Zheng
Haiyang Xiong
Jinyin Chen
Hao-Shang Ma
Guohan Huang
41
28
0
25 Oct 2022
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
36
22
0
23 Oct 2022
Empowering Graph Representation Learning with Test-Time Graph
  Transformation
Empowering Graph Representation Learning with Test-Time Graph Transformation
Wei Jin
Tong Zhao
Jiayu Ding
Yozen Liu
Jiliang Tang
Neil Shah
OOD
86
60
0
07 Oct 2022
Model Inversion Attacks against Graph Neural Networks
Model Inversion Attacks against Graph Neural Networks
Zaixin Zhang
Qi Liu
Zhenya Huang
Hao Wang
Cheekong Lee
Enhong
AAML
20
35
0
16 Sep 2022
Adversarial contamination of networks in the setting of vertex
  nomination: a new trimming method
Adversarial contamination of networks in the setting of vertex nomination: a new trimming method
Sheyda Peyman
M. Tang
V. Lyzinski
AAML
28
0
0
20 Aug 2022
Strategic Classification with Graph Neural Networks
Strategic Classification with Graph Neural Networks
Itay Eilat
Ben Finkelshtein
Chaim Baskin
Nir Rosenfeld
35
12
0
31 May 2022
A BIC-based Mixture Model Defense against Data Poisoning Attacks on
  Classifiers
A BIC-based Mixture Model Defense against Data Poisoning Attacks on Classifiers
Xi Li
David J. Miller
Zhen Xiang
G. Kesidis
AAML
16
0
0
28 May 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
36
14
0
18 Jan 2021
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