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Single-Node Attacks for Fooling Graph Neural Networks
v1v2 (latest)

Single-Node Attacks for Fooling Graph Neural Networks

6 November 2020
Ben Finkelshtein
Chaim Baskin
Evgenii Zheltonozhskii
Uri Alon
    AAML
ArXiv (abs)PDFHTMLGithub (8★)

Papers citing "Single-Node Attacks for Fooling Graph Neural Networks"

4 / 4 papers shown
Robustness Verification of Graph Neural Networks Via Lightweight Satisfiability Testing
Robustness Verification of Graph Neural Networks Via Lightweight Satisfiability Testing
Chia-Hsuan Lu
Tony Tan
Michael Benedikt
AAMLOOD
152
1
0
21 Oct 2025
Adversarial Robustness in Graph Neural Networks: A Hamiltonian Approach
Adversarial Robustness in Graph Neural Networks: A Hamiltonian ApproachNeural Information Processing Systems (NeurIPS), 2023
Kai Zhao
Qiyu Kang
Yang Song
Rui She
Sijie Wang
Wee Peng Tay
AAML
358
34
0
10 Oct 2023
Single-User Injection for Invisible Shilling Attack against Recommender
  Systems
Single-User Injection for Invisible Shilling Attack against Recommender SystemsInternational Conference on Information and Knowledge Management (CIKM), 2023
Chengzhi Huang
Hui Li
193
18
0
21 Aug 2023
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
247
26
0
19 Apr 2021
1
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