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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

1 September 2020
Binghui Wang
Tianxiang Zhou
Min Lin
Pan Zhou
Ang Li
Meng Pang
H. Li
Yiran Chen
    AAML
ArXivPDFHTML

Papers citing "Efficient, Direct, and Restricted Black-Box Graph Evasion Attacks to Any-Layer Graph Neural Networks via Influence Function"

4 / 4 papers shown
Title
Unnoticeable Backdoor Attacks on Graph Neural Networks
Unnoticeable Backdoor Attacks on Graph Neural Networks
Enyan Dai
Minhua Lin
Xiang Zhang
Suhang Wang
AAML
29
47
0
11 Feb 2023
Task and Model Agnostic Adversarial Attack on Graph Neural Networks
Task and Model Agnostic Adversarial Attack on Graph Neural Networks
Kartik Sharma
S. Verma
Sourav Medya
Arnab Bhattacharya
Sayan Ranu
AAML
26
8
0
25 Dec 2021
Model Extraction Attacks on Graph Neural Networks: Taxonomy and
  Realization
Model Extraction Attacks on Graph Neural Networks: Taxonomy and Realization
Bang Wu
Xiangwen Yang
Shirui Pan
Xingliang Yuan
MIACV
MLAU
55
53
0
24 Oct 2020
Representation Learning on Graphs with Jumping Knowledge Networks
Representation Learning on Graphs with Jumping Knowledge Networks
Keyulu Xu
Chengtao Li
Yonglong Tian
Tomohiro Sonobe
Ken-ichi Kawarabayashi
Stefanie Jegelka
GNN
279
1,948
0
09 Jun 2018
1