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A Targeted Universal Attack on Graph Convolutional Network

A Targeted Universal Attack on Graph Convolutional Network

Neural Processing Letters (NPL), 2020
29 November 2020
Jiazhu Dai
Weifeng Zhu
Xiangfeng Luo
    AAMLGNN
ArXiv (abs)PDFHTML

Papers citing "A Targeted Universal Attack on Graph Convolutional Network"

11 / 11 papers shown
Hierarchical Graph Feature Enhancement with Adaptive Frequency Modulation for Visual Recognition
Hierarchical Graph Feature Enhancement with Adaptive Frequency Modulation for Visual Recognition
Feiyue Zhao
Zhichao Zhang
210
0
0
15 Aug 2025
AGSOA:Graph Neural Network Targeted Attack Based on Average Gradient and
  Structure Optimization
AGSOA:Graph Neural Network Targeted Attack Based on Average Gradient and Structure Optimization
Yang Chen
Bin Zhou
AAML
236
1
0
19 Jun 2024
A Clean-graph Backdoor Attack against Graph Convolutional Networks with
  Poisoned Label Only
A Clean-graph Backdoor Attack against Graph Convolutional Networks with Poisoned Label Only
Jiazhu Dai
Haoyu Sun
AAML
290
2
0
19 Apr 2024
Fast Inference of Removal-Based Node Influence
Fast Inference of Removal-Based Node InfluenceThe Web Conference (WWW), 2024
Weikai Li
Zhiping Xiao
Xiao Luo
Luke Huan
AAML
278
6
0
13 Mar 2024
Momentum Gradient-based Untargeted Attack on Hypergraph Neural Networks
Momentum Gradient-based Untargeted Attack on Hypergraph Neural Networks
Yang Chen
S. Picek
Zhonglin Ye
Zhaoyang Wang
Haixing Zhao
285
0
0
24 Oct 2023
Multi-Instance Adversarial Attack on GNN-Based Malicious Domain
  Detection
Multi-Instance Adversarial Attack on GNN-Based Malicious Domain DetectionIEEE Symposium on Security and Privacy (IEEE S&P), 2023
Mahmoud Nazzal
Issa M. Khalil
Abdallah Khreishah
Nhathai Phan
Yao Ma
AAML
264
8
0
22 Aug 2023
A semantic backdoor attack against Graph Convolutional Networks
A semantic backdoor attack against Graph Convolutional NetworksNeurocomputing (Neurocomputing), 2023
Jiazhu Dai
Zhipeng Xiong
AAML
422
12
0
28 Feb 2023
Sparse Vicious Attacks on Graph Neural Networks
Sparse Vicious Attacks on Graph Neural NetworksIEEE Transactions on Artificial Intelligence (IEEE TAI), 2022
Giovanni Trappolini
Valentino Maiorca
Silvio Severino
Emanuele Rodolà
Fabrizio Silvestri
Gabriele Tolomei
AAML
229
8
0
20 Sep 2022
Robust Node Classification on Graphs: Jointly from Bayesian Label
  Transition and Topology-based Label Propagation
Robust Node Classification on Graphs: Jointly from Bayesian Label Transition and Topology-based Label PropagationInternational Conference on Information and Knowledge Management (CIKM), 2022
Jun Zhuang
M. Hasan
249
21
0
21 Aug 2022
Recent Advances in Reliable Deep Graph Learning: Inherent Noise,
  Distribution Shift, and Adversarial Attack
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
OODAAML
406
10
0
15 Feb 2022
Adversarial Diffusion Attacks on Graph-based Traffic Prediction Models
Adversarial Diffusion Attacks on Graph-based Traffic Prediction ModelsIEEE Internet of Things Journal (IEEE IoT Journal), 2021
Lyuyi Zhu
Kairui Feng
Ziyuan Pu
Wei-Ying Ma
AAMLDiffM
261
26
0
19 Apr 2021
1
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