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Certifiable Robustness to Graph Perturbations

Certifiable Robustness to Graph Perturbations

31 October 2019
Aleksandar Bojchevski
Stephan Günnemann
    AAML
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Papers citing "Certifiable Robustness to Graph Perturbations"

15 / 15 papers shown
Title
Quantifying the Noise of Structural Perturbations on Graph Adversarial Attacks
Quantifying the Noise of Structural Perturbations on Graph Adversarial Attacks
Junyuan Fang
Han Yang
Haixian Wen
Jiajing Wu
Zibin Zheng
Chi K. Tse
AAML
46
0
0
29 Apr 2025
Formal Verification of Graph Convolutional Networks with Uncertain Node Features and Uncertain Graph Structure
Formal Verification of Graph Convolutional Networks with Uncertain Node Features and Uncertain Graph Structure
Tobias Ladner
Michael Eichelbeck
Matthias Althoff
GNN
43
0
0
23 Apr 2024
Uncertainty in Graph Neural Networks: A Survey
Uncertainty in Graph Neural Networks: A Survey
Fangxin Wang
Yuqing Liu
Kay Liu
Yibo Wang
Sourav Medya
Philip S. Yu
AI4CE
46
8
0
11 Mar 2024
AttackGNN: Red-Teaming GNNs in Hardware Security Using Reinforcement
  Learning
AttackGNN: Red-Teaming GNNs in Hardware Security Using Reinforcement Learning
Vasudev Gohil
Satwik Patnaik
D. Kalathil
Jeyavijayan Rajendran
AAML
27
3
0
21 Feb 2024
On the Trade-Off between Stability and Representational Capacity in
  Graph Neural Networks
On the Trade-Off between Stability and Representational Capacity in Graph Neural Networks
Zhan Gao
Amanda Prorok
Elvin Isufi
22
1
0
04 Dec 2023
Randomized Message-Interception Smoothing: Gray-box Certificates for
  Graph Neural Networks
Randomized Message-Interception Smoothing: Gray-box Certificates for Graph Neural Networks
Yan Scholten
Jan Schuchardt
Simon Geisler
Aleksandar Bojchevski
Stephan Günnemann
AAML
16
15
0
05 Jan 2023
Trustworthy Graph Neural Networks: Aspects, Methods and Trends
Trustworthy Graph Neural Networks: Aspects, Methods and Trends
He Zhang
Bang Wu
Xingliang Yuan
Shirui Pan
Hanghang Tong
Jian Pei
41
98
0
16 May 2022
Detecting Topology Attacks against Graph Neural Networks
Detecting Topology Attacks against Graph Neural Networks
Senrong Xu
Yuan Yao
Liangyue Li
Wei Yang
F. Xu
Hanghang Tong
25
3
0
21 Apr 2022
Neighboring Backdoor Attacks on Graph Convolutional Network
Neighboring Backdoor Attacks on Graph Convolutional Network
Liang Chen
Qibiao Peng
Jintang Li
Yang Liu
Jiawei Chen
Yong Li
Zibin Zheng
GNN
AAML
14
11
0
17 Jan 2022
Model Stealing Attacks Against Inductive Graph Neural Networks
Model Stealing Attacks Against Inductive Graph Neural Networks
Yun Shen
Xinlei He
Yufei Han
Yang Zhang
14
60
0
15 Dec 2021
Decentralized Inference with Graph Neural Networks in Wireless
  Communication Systems
Decentralized Inference with Graph Neural Networks in Wireless Communication Systems
Mengyuan Lee
Guanding Yu
H. Dai
GNN
33
39
0
19 Apr 2021
Dissecting the Diffusion Process in Linear Graph Convolutional Networks
Dissecting the Diffusion Process in Linear Graph Convolutional Networks
Yifei Wang
Yisen Wang
Jiansheng Yang
Zhouchen Lin
GNN
30
77
0
22 Feb 2021
GraphAttacker: A General Multi-Task GraphAttack Framework
GraphAttacker: A General Multi-Task GraphAttack Framework
Jinyin Chen
Dunjie Zhang
Zhaoyan Ming
Kejie Huang
Wenrong Jiang
Chen Cui
AAML
26
12
0
18 Jan 2021
Graph Neural Networks: Taxonomy, Advances and Trends
Graph Neural Networks: Taxonomy, Advances and Trends
Yu Zhou
Haixia Zheng
Xin Huang
Shufeng Hao
Dengao Li
Jumin Zhao
AI4TS
23
113
0
16 Dec 2020
GNNGuard: Defending Graph Neural Networks against Adversarial Attacks
GNNGuard: Defending Graph Neural Networks against Adversarial Attacks
Xiang Zhang
Marinka Zitnik
AAML
11
286
0
15 Jun 2020
1