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Certifiable Robustness and Robust Training for Graph Convolutional
  Networks

Certifiable Robustness and Robust Training for Graph Convolutional Networks

28 June 2019
Daniel Zügner
Stephan Günnemann
    OffRL
ArXivPDFHTML

Papers citing "Certifiable Robustness and Robust Training for Graph Convolutional Networks"

21 / 21 papers shown
Title
When Witnesses Defend: A Witness Graph Topological Layer for Adversarial Graph Learning
When Witnesses Defend: A Witness Graph Topological Layer for Adversarial Graph Learning
Naheed Anjum Arafat
D. Basu
Yulia R. Gel
Yuzhou Chen
AAML
80
0
0
21 Sep 2024
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
51
0
0
23 Apr 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
How Powerful is Implicit Denoising in Graph Neural Networks
How Powerful is Implicit Denoising in Graph Neural Networks
Songtao Liu
Rex Ying
Hanze Dong
Lu Lin
Jinghui Chen
Di Wu
GNN
AI4CE
17
3
0
29 Sep 2022
Adversarial Camouflage for Node Injection Attack on Graphs
Adversarial Camouflage for Node Injection Attack on Graphs
Shuchang Tao
Qi Cao
Huawei Shen
Yunfan Wu
Liang Hou
Fei Sun
Xueqi Cheng
AAML
GNN
20
21
0
03 Aug 2022
On the Prediction Instability of Graph Neural Networks
On the Prediction Instability of Graph Neural Networks
Max Klabunde
Florian Lemmerich
38
5
0
20 May 2022
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
104
0
16 May 2022
Graph Data Augmentation for Graph Machine Learning: A Survey
Graph Data Augmentation for Graph Machine Learning: A Survey
Tong Zhao
Wei Jin
Yozen Liu
Yingheng Wang
Gang Liu
Stephan Günnemann
Neil Shah
Meng-Long Jiang
OOD
20
78
0
17 Feb 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
22
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
Subgraph Federated Learning with Missing Neighbor Generation
Subgraph Federated Learning with Missing Neighbor Generation
Ke Zhang
Carl Yang
Xiaoxiao Li
Lichao Sun
S. Yiu
FedML
16
162
0
25 Jun 2021
BinarizedAttack: Structural Poisoning Attacks to Graph-based Anomaly
  Detection
BinarizedAttack: Structural Poisoning Attacks to Graph-based Anomaly Detection
Yulin Zhu
Y. Lai
Kaifa Zhao
Xiapu Luo
Ming Yuan
Jian Ren
Kai Zhou
AAML
20
24
0
18 Jun 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
Graph Computing for Financial Crime and Fraud Detection: Trends,
  Challenges and Outlook
Graph Computing for Financial Crime and Fraud Detection: Trends, Challenges and Outlook
Eren Kurshan
Hongda Shen
GNN
19
32
0
02 Mar 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
SIGL: Securing Software Installations Through Deep Graph Learning
SIGL: Securing Software Installations Through Deep Graph Learning
Xueyuan Han
Xiao Yu
Thomas Pasquier
Ding Li
J. Rhee
James W. Mickens
Margo Seltzer
Haifeng Chen
8
49
0
26 Aug 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
Topological Effects on Attacks Against Vertex Classification
Topological Effects on Attacks Against Vertex Classification
B. A. Miller
Mustafa Çamurcu
Alexander J. Gomez
Kevin S. Chan
Tina Eliassi-Rad
AAML
9
2
0
12 Mar 2020
Attacking Graph-based Classification via Manipulating the Graph
  Structure
Attacking Graph-based Classification via Manipulating the Graph Structure
Binghui Wang
Neil Zhenqiang Gong
AAML
11
152
0
01 Mar 2019
Simple and Scalable Predictive Uncertainty Estimation using Deep
  Ensembles
Simple and Scalable Predictive Uncertainty Estimation using Deep Ensembles
Balaji Lakshminarayanan
Alexander Pritzel
Charles Blundell
UQCV
BDL
268
5,652
0
05 Dec 2016
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