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Practicable Black-box Evasion Attacks on Link Prediction in Dynamic
  Graphs -- A Graph Sequential Embedding Method

Practicable Black-box Evasion Attacks on Link Prediction in Dynamic Graphs -- A Graph Sequential Embedding Method

17 December 2024
Jiate Li
Meng Pang
Binghui Wang
    AAML
ArXiv (abs)PDFHTML

Papers citing "Practicable Black-box Evasion Attacks on Link Prediction in Dynamic Graphs -- A Graph Sequential Embedding Method"

12 / 12 papers shown
Title
GraphFL: A Federated Learning Framework for Semi-Supervised Node
  Classification on Graphs
GraphFL: A Federated Learning Framework for Semi-Supervised Node Classification on Graphs
Binghui Wang
Ang Li
H. Li
Yiran Chen
138
118
0
08 Dec 2020
Adversarial Attack on Large Scale Graph
Adversarial Attack on Large Scale Graph
Jintang Li
Tao Xie
Liang Chen
Fenfang Xie
Xiangnan He
Zibin Zheng
AAML
75
67
0
08 Sep 2020
Efficient, Direct, and Restricted Black-Box Graph Evasion Attacks to
  Any-Layer Graph Neural Networks via Influence Function
Efficient, Direct, and Restricted Black-Box Graph Evasion Attacks to Any-Layer Graph Neural Networks via Influence Function
Binghui Wang
Tianxiang Zhou
Min Lin
Pan Zhou
Ang Li
Meng Pang
H. Li
Yiran Chen
AAML
96
20
0
01 Sep 2020
Backdoor Attacks to Graph Neural Networks
Backdoor Attacks to Graph Neural Networks
Zaixi Zhang
Jinyuan Jia
Binghui Wang
Neil Zhenqiang Gong
GNN
85
219
0
19 Jun 2020
Towards More Practical Adversarial Attacks on Graph Neural Networks
Towards More Practical Adversarial Attacks on Graph Neural Networks
Jiaqi Ma
Shuangrui Ding
Qiaozhu Mei
AAML
66
121
0
09 Jun 2020
Indirect Adversarial Attacks via Poisoning Neighbors for Graph
  Convolutional Networks
Indirect Adversarial Attacks via Poisoning Neighbors for Graph Convolutional Networks
Tsubasa Takahashi
GNNAAML
137
37
0
19 Feb 2020
A Unified Framework for Data Poisoning Attack to Graph-based
  Semi-supervised Learning
A Unified Framework for Data Poisoning Attack to Graph-based Semi-supervised Learning
Xuanqing Liu
Si Si
Xiaojin Zhu
Yang Li
Cho-Jui Hsieh
AAML
82
79
0
30 Oct 2019
Topology Attack and Defense for Graph Neural Networks: An Optimization
  Perspective
Topology Attack and Defense for Graph Neural Networks: An Optimization Perspective
Kaidi Xu
Hongge Chen
Sijia Liu
Pin-Yu Chen
Tsui-Wei Weng
Mingyi Hong
Xue Lin
AAML
77
452
0
10 Jun 2019
Attacking Graph Convolutional Networks via Rewiring
Attacking Graph Convolutional Networks via Rewiring
Yao Ma
Suhang Wang
Tyler Derr
Lingfei Wu
Jiliang Tang
AAMLGNN
54
84
0
10 Jun 2019
Adversarial Attacks on Graph Neural Networks via Meta Learning
Adversarial Attacks on Graph Neural Networks via Meta Learning
Daniel Zügner
Stephan Günnemann
OODAAMLGNN
134
574
0
22 Feb 2019
Proximal Policy Optimization Algorithms
Proximal Policy Optimization Algorithms
John Schulman
Filip Wolski
Prafulla Dhariwal
Alec Radford
Oleg Klimov
OffRL
580
19,315
0
20 Jul 2017
Continuous control with deep reinforcement learning
Continuous control with deep reinforcement learning
Timothy Lillicrap
Jonathan J. Hunt
Alexander Pritzel
N. Heess
Tom Erez
Yuval Tassa
David Silver
Daan Wierstra
330
13,295
0
09 Sep 2015
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