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Efficient, Direct, and Restricted Black-Box Graph Evasion Attacks to
  Any-Layer Graph Neural Networks via Influence Function
v1v2v3 (latest)

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
ArXiv (abs)PDFHTMLGithub (5★)

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

14 / 14 papers shown
Title
AuditVotes: A Framework Towards More Deployable Certified Robustness for Graph Neural Networks
AuditVotes: A Framework Towards More Deployable Certified Robustness for Graph Neural Networks
Y. Lai
Yulin Zhu
Yizhou Sun
Yongpeng Wu
Bin Xiao
Gaolei Li
Jianhua Li
Kai Zhou
AAML
123
0
0
29 Mar 2025
Deterministic Certification of Graph Neural Networks against Graph Poisoning Attacks with Arbitrary Perturbations
Deterministic Certification of Graph Neural Networks against Graph Poisoning Attacks with Arbitrary Perturbations
Jiate Li
Meng Pang
Yun Dong
Binghui Wang
AAML
113
0
0
24 Mar 2025
Backdoor Attacks on Discrete Graph Diffusion Models
Jiawen Wang
Samin Karim
Yuan Hong
Binghui Wang
DiffM
185
0
0
08 Mar 2025
AGNNCert: Defending Graph Neural Networks against Arbitrary Perturbations with Deterministic Certification
AGNNCert: Defending Graph Neural Networks against Arbitrary Perturbations with Deterministic Certification
Jiate Li
Binghui Wang
AAML
132
2
0
02 Feb 2025
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
Jiate Li
Meng Pang
Binghui Wang
AAML
133
1
0
17 Dec 2024
Stealing Training Graphs from Graph Neural Networks
Minhua Lin
Enyan Dai
Junjie Xu
Jinyuan Jia
Xiang Zhang
Suhang Wang
DiffM
99
2
0
17 Nov 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
76
0
0
24 Oct 2023
Certifiably Robust Graph Contrastive Learning
Certifiably Robust Graph Contrastive Learning
Min Lin
Teng Xiao
Enyan Dai
Xiang Zhang
Suhang Wang
AAML
64
6
0
05 Oct 2023
Turning Strengths into Weaknesses: A Certified Robustness Inspired
  Attack Framework against Graph Neural Networks
Turning Strengths into Weaknesses: A Certified Robustness Inspired Attack Framework against Graph Neural Networks
Binghui Wang
Meng Pang
Yun Dong
AAML
64
16
0
10 Mar 2023
Unnoticeable Backdoor Attacks on Graph Neural Networks
Unnoticeable Backdoor Attacks on Graph Neural Networks
Enyan Dai
Minhua Lin
Xiang Zhang
Suhang Wang
AAML
111
54
0
11 Feb 2023
Characterizing the Influence of Graph Elements
Characterizing the Influence of Graph Elements
Zizhang Chen
Peizhao Li
Hongfu Liu
Pengyu Hong
TDI
45
23
0
14 Oct 2022
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
74
10
0
25 Dec 2021
Adversarial Attacks on Graph Classification via Bayesian Optimisation
Adversarial Attacks on Graph Classification via Bayesian Optimisation
Xingchen Wan
Henry Kenlay
Binxin Ru
Arno Blaas
Michael A. Osborne
Xiaowen Dong
AAML
96
13
0
04 Nov 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
Lizhen Qu
MIACVMLAU
107
55
0
24 Oct 2020
1