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Graph Adversarial Immunization for Certifiable Robustness

Graph Adversarial Immunization for Certifiable Robustness

16 February 2023
Shuchang Tao
Huawei Shen
Qi Cao
Yunfan Wu
Liang Hou
Xueqi Cheng
    AAML
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Papers citing "Graph Adversarial Immunization for Certifiable Robustness"

17 / 17 papers shown
Title
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
46
22
0
03 Aug 2022
A Comprehensive Survey on Graph Anomaly Detection with Deep Learning
A Comprehensive Survey on Graph Anomaly Detection with Deep Learning
Xiaoxiao Ma
Hongzhi Zhang
Shan Xue
Jian Yang
Chuan Zhou
Quan Z. Sheng
Hui Xiong
Leman Akoglu
GNN
AI4TS
73
549
0
14 Jun 2021
TDGIA:Effective Injection Attacks on Graph Neural Networks
TDGIA:Effective Injection Attacks on Graph Neural Networks
Xu Zou
Qinkai Zheng
Yuxiao Dong
Xinyu Guan
Evgeny Kharlamov
Jialiang Lu
Jie Tang
AAML
60
103
0
12 Jun 2021
Adversarial Attack on Large Scale Graph
Adversarial Attack on Large Scale Graph
Jintang Li
Tao Xie
Liang Chen
Fenfang Xie
Xiangnan He
Zibin Zheng
AAML
50
67
0
08 Sep 2020
Efficient Robustness Certificates for Discrete Data: Sparsity-Aware
  Randomized Smoothing for Graphs, Images and More
Efficient Robustness Certificates for Discrete Data: Sparsity-Aware Randomized Smoothing for Graphs, Images and More
Aleksandar Bojchevski
Johannes Klicpera
Stephan Günnemann
AAML
68
85
0
29 Aug 2020
Certifiable Robustness to Graph Perturbations
Certifiable Robustness to Graph Perturbations
Aleksandar Bojchevski
Stephan Günnemann
AAML
52
123
0
31 Oct 2019
A Restricted Black-box Adversarial Framework Towards Attacking Graph
  Embedding Models
A Restricted Black-box Adversarial Framework Towards Attacking Graph Embedding Models
Heng Chang
Yu Rong
Tingyang Xu
Wenbing Huang
Honglei Zhang
Peng Cui
Wenwu Zhu
Junzhou Huang
AAML
49
153
0
04 Aug 2019
Is BERT Really Robust? A Strong Baseline for Natural Language Attack on
  Text Classification and Entailment
Is BERT Really Robust? A Strong Baseline for Natural Language Attack on Text Classification and Entailment
Di Jin
Zhijing Jin
Qiufeng Wang
Peter Szolovits
SILM
AAML
113
1,064
0
27 Jul 2019
Certifiable Robustness and Robust Training for Graph Convolutional
  Networks
Certifiable Robustness and Robust Training for Graph Convolutional Networks
Daniel Zügner
Stephan Günnemann
OffRL
64
162
0
28 Jun 2019
Topology Attack and Defense for Graph Neural Networks: An Optimization
  Perspective
Topology Attack and Defense for Graph Neural Networks: An Optimization Perspective
Kaidi Xu
Hongge Chen
Sijia Liu
Pin-Yu Chen
Tsui-Wei Weng
Mingyi Hong
Xue Lin
AAML
47
450
0
10 Jun 2019
Adversarial Attacks on Graph Neural Networks via Meta Learning
Adversarial Attacks on Graph Neural Networks via Meta Learning
Daniel Zügner
Stephan Günnemann
OOD
AAML
GNN
115
569
0
22 Feb 2019
Adversarial Attack and Defense on Graph Data: A Survey
Adversarial Attack and Defense on Graph Data: A Survey
Lichao Sun
Yingtong Dou
Carl Yang
Ji Wang
Yixin Liu
Philip S. Yu
Lifang He
Yangqiu Song
GNN
AAML
56
276
0
26 Dec 2018
Bayesian graph convolutional neural networks for semi-supervised
  classification
Bayesian graph convolutional neural networks for semi-supervised classification
Yingxue Zhang
Soumyasundar Pal
Mark Coates
Deniz Üstebay
GNN
BDL
67
227
0
27 Nov 2018
Predict then Propagate: Graph Neural Networks meet Personalized PageRank
Predict then Propagate: Graph Neural Networks meet Personalized PageRank
Johannes Klicpera
Aleksandar Bojchevski
Stephan Günnemann
GNN
195
1,674
0
14 Oct 2018
Graph Attention Networks
Graph Attention Networks
Petar Velickovic
Guillem Cucurull
Arantxa Casanova
Adriana Romero
Pietro Lio
Yoshua Bengio
GNN
319
19,991
0
30 Oct 2017
Model-Agnostic Meta-Learning for Fast Adaptation of Deep Networks
Model-Agnostic Meta-Learning for Fast Adaptation of Deep Networks
Chelsea Finn
Pieter Abbeel
Sergey Levine
OOD
759
11,793
0
09 Mar 2017
Towards Evaluating the Robustness of Neural Networks
Towards Evaluating the Robustness of Neural Networks
Nicholas Carlini
D. Wagner
OOD
AAML
170
8,513
0
16 Aug 2016
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