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1908.07558
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Transferring Robustness for Graph Neural Network Against Poisoning Attacks
Web Search and Data Mining (WSDM), 2019
20 August 2019
Xianfeng Tang
Yandong Li
Yiwei Sun
Huaxiu Yao
P. Mitra
Suhang Wang
OOD
AAML
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Papers citing
"Transferring Robustness for Graph Neural Network Against Poisoning Attacks"
50 / 70 papers shown
If You Want to Be Robust, Be Wary of Initialization
Neural Information Processing Systems (NeurIPS), 2025
Sofiane Ennadir
J. Lutzeyer
Michalis Vazirgiannis
El Houcine Bergou
AAML
184
4
0
26 Oct 2025
Deterministic Certification of Graph Neural Networks against Graph Poisoning Attacks with Arbitrary Perturbations
Computer Vision and Pattern Recognition (CVPR), 2025
Jiate Li
Meng Pang
Yun Dong
Binghui Wang
AAML
362
1
0
24 Mar 2025
Robust Graph Learning Against Adversarial Evasion Attacks via Prior-Free Diffusion-Based Structure Purification
The Web Conference (WWW), 2025
Jiayi Luo
Qingyun Sun
Haonan Yuan
Xingcheng Fu
Jianxin Li
DiffM
AAML
524
7
0
07 Feb 2025
AutoRNet: Automatically Optimizing Heuristics for Robust Network Design via Large Language Models
He Yu
Qingbin Liu
204
1
0
23 Oct 2024
When Witnesses Defend: A Witness Graph Topological Layer for Adversarial Graph Learning
AAAI Conference on Artificial Intelligence (AAAI), 2024
Naheed Anjum Arafat
D. Basu
Yulia R. Gel
Yuzhou Chen
AAML
1.2K
5
0
21 Sep 2024
GraphMU: Repairing Robustness of Graph Neural Networks via Machine Unlearning
Tao Wu
Xinwen Cao
Chao Wang
Shaojie Qiao
Xingping Xian
Lin Yuan
Canyixing Cui
Yanbing Liu
AAML
371
3
0
19 Jun 2024
Safety in Graph Machine Learning: Threats and Safeguards
Song Wang
Yushun Dong
Binchi Zhang
Zihan Chen
Xingbo Fu
Yinhan He
Cong Shen
Chuxu Zhang
Nitesh Chawla
Wenlin Yao
413
11
0
17 May 2024
Bounding the Expected Robustness of Graph Neural Networks Subject to Node Feature Attacks
Yassine Abbahaddou
Sofiane Ennadir
J. Lutzeyer
Michalis Vazirgiannis
Henrik Bostrom
AAML
OOD
291
14
0
27 Apr 2024
Adversary-Robust Graph-Based Learning of WSIs
Saba Heidari Gheshlaghi
Milan Aryal
Nasim Yahyasoltani
Masoud Ganji
OOD
AAML
333
1
0
21 Mar 2024
A Simple and Yet Fairly Effective Defense for Graph Neural Networks
Sofiane Ennadir
Yassine Abbahaddou
J. Lutzeyer
Michalis Vazirgiannis
Henrik Bostrom
AAML
427
31
0
21 Feb 2024
Self-Guided Robust Graph Structure Refinement
Yeonjun In
Kanghoon Yoon
Kibum Kim
Kijung Shin
Chanyoung Park
AAML
313
10
0
19 Feb 2024
PAC-Bayesian Adversarially Robust Generalization Bounds for Graph Neural Network
Tan Sun
Junhong Lin
AAML
346
5
0
06 Feb 2024
Explainability-Based Adversarial Attack on Graphs Through Edge Perturbation
Dibaloke Chanda
Saba Heidari Gheshlaghi
Nasim Yahya Soltani
AAML
232
4
0
28 Dec 2023
Sparse but Strong: Crafting Adversarially Robust Graph Lottery Tickets
Subhajit Dutta Chowdhury
Zhiyu Ni
Qingyuan Peng
Souvik Kundu
Pierluigi Nuzzo
334
3
0
11 Dec 2023
Prov2vec: Learning Provenance Graph Representation for Unsupervised APT Detection
Bibek Bhattarai
H. H. Huang
174
3
0
02 Oct 2023
Everything Perturbed All at Once: Enabling Differentiable Graph Attacks
The Web Conference (WWW), 2023
Haoran Liu
Bokun Wang
Jianling Wang
Xiangjue Dong
Tianbao Yang
James Caverlee
AAML
287
4
0
29 Aug 2023
Detecting Vulnerable Nodes in Urban Infrastructure Interdependent Network
Knowledge Discovery and Data Mining (KDD), 2023
Jinzhu Mao
Liu Cao
Chen Gao
Huandong Wang
Hangyu Fan
Depeng Jin
Yong Li
GNN
AI4CE
214
18
0
19 Jul 2023
Similarity Preserving Adversarial Graph Contrastive Learning
Knowledge Discovery and Data Mining (KDD), 2023
Yeonjun In
Kanghoon Yoon
Chanyoung Park
AAML
243
15
0
24 Jun 2023
A Unified Framework of Graph Information Bottleneck for Robustness and Membership Privacy
Knowledge Discovery and Data Mining (KDD), 2023
Enyan Dai
Limeng Cui
Zhengyang Wang
Xianfeng Tang
Yinghan Wang
Mo Cheng
Bin Yin
Suhang Wang
AAML
289
20
0
14 Jun 2023
Graph Agent Network: Empowering Nodes with Decentralized Communications Capabilities for Adversarial Resilience
AAAI Conference on Artificial Intelligence (AAAI), 2023
Ao Liu
Wenshan Li
Tao Li
Beibei Li
Hanyuan Huang
Guangquan Xu
Pan Zhou
AAML
233
0
0
12 Jun 2023
GrOVe: Ownership Verification of Graph Neural Networks using Embeddings
IEEE Symposium on Security and Privacy (IEEE S&P), 2023
Asim Waheed
Vasisht Duddu
Nadarajah Asokan
370
19
0
17 Apr 2023
A Comprehensive Survey on Deep Graph Representation Learning
Neural Networks (Neural Netw.), 2023
Wei Ju
Zheng Fang
Yiyang Gu
Zequn Liu
Qingqing Long
...
Jingyang Yuan
Yusheng Zhao
Yifan Wang
Xiao Luo
Ming Zhang
GNN
AI4TS
585
290
0
11 Apr 2023
Graph Adversarial Immunization for Certifiable Robustness
IEEE Transactions on Knowledge and Data Engineering (TKDE), 2023
Shuchang Tao
Huawei Shen
Qi Cao
Yunfan Wu
Liang Hou
Xueqi Cheng
AAML
439
9
0
16 Feb 2023
Are Defenses for Graph Neural Networks Robust?
Neural Information Processing Systems (NeurIPS), 2023
Felix Mujkanovic
Simon Geisler
Stephan Günnemann
Aleksandar Bojchevski
OOD
AAML
241
68
0
31 Jan 2023
Randomized Message-Interception Smoothing: Gray-box Certificates for Graph Neural Networks
Neural Information Processing Systems (NeurIPS), 2023
Yan Scholten
Jan Schuchardt
Simon Geisler
Aleksandar Bojchevski
Stephan Günnemann
AAML
247
18
0
05 Jan 2023
Impact Of Missing Data Imputation On The Fairness And Accuracy Of Graph Node Classifiers
Haris Mansoor
Sarwan Ali
Shafiq Alam
Muhammad Asad Khan
U. Hassan
Imdadullah Khan
FaML
224
5
0
01 Nov 2022
ASGNN: Graph Neural Networks with Adaptive Structure
Zepeng Zhang
Songtao Lu
Zengfeng Huang
Ziping Zhao
AAML
260
1
0
03 Oct 2022
What Does the Gradient Tell When Attacking the Graph Structure
Zihan Liu
Ge Wang
Yun Luo
Stan Z. Li
AAML
314
4
0
26 Aug 2022
Robust Node Classification on Graphs: Jointly from Bayesian Label Transition and Topology-based Label Propagation
International Conference on Information and Knowledge Management (CIKM), 2022
Jun Zhuang
M. Hasan
253
21
0
21 Aug 2022
Robust Graph Neural Networks using Weighted Graph Laplacian
Bharat Runwal
Vivek
Sandeep Kumar
AAML
OOD
224
7
0
03 Aug 2022
Challenges and Opportunities in Deep Reinforcement Learning with Graph Neural Networks: A Comprehensive review of Algorithms and Applications
IEEE Transactions on Neural Networks and Learning Systems (TNNLS), 2022
Sai Munikoti
D. Agarwal
L. Das
M. Halappanavar
Balasubramaniam Natarajan
GNN
OffRL
AI4CE
381
123
0
16 Jun 2022
Condensing Graphs via One-Step Gradient Matching
Knowledge Discovery and Data Mining (KDD), 2022
Wei Jin
Xianfeng Tang
Haoming Jiang
Zheng Li
Danqing Zhang
Shucheng Zhou
Bin Ying
DD
383
144
0
15 Jun 2022
A Survey of Trustworthy Graph Learning: Reliability, Explainability, and Privacy Protection
Bingzhe Wu
Jintang Li
Junchi Yu
Yatao Bian
Hengtong Zhang
...
Guangyu Sun
Peng Cui
Zibin Zheng
Yanfeng Guo
P. Zhao
OOD
380
29
0
20 May 2022
Trustworthy Graph Neural Networks: Aspects, Methods and Trends
Proceedings of the IEEE (Proc. IEEE), 2022
He Zhang
Bang Wu
Lizhen Qu
Shirui Pan
Hanghang Tong
Jian Pei
445
166
0
16 May 2022
A Comprehensive Survey on Trustworthy Graph Neural Networks: Privacy, Robustness, Fairness, and Explainability
Machine Intelligence Research (MIR), 2022
Enyan Dai
Tianxiang Zhao
Huaisheng Zhu
Jun Xu
Zhimeng Guo
Hui Liu
Shucheng Zhou
Suhang Wang
424
222
0
18 Apr 2022
Recent Advances in Reliable Deep Graph Learning: Inherent Noise, Distribution Shift, and Adversarial Attack
Jintang Li
Bingzhe Wu
Chengbin Hou
Guoji Fu
Yatao Bian
Liang Chen
Junzhou Huang
Zibin Zheng
OOD
AAML
414
10
0
15 Feb 2022
Learning Robust Representation through Graph Adversarial Contrastive Learning
International Conference on Database Systems for Advanced Applications (DASFAA), 2022
Jiayan Guo
Shangyang Li
Yue Zhao
Fei Huang
295
10
0
31 Jan 2022
Towards Robust Graph Neural Networks for Noisy Graphs with Sparse Labels
Web Search and Data Mining (WSDM), 2022
Enyan Dai
Wei Jin
Hui Liu
Suhang Wang
NoLa
419
128
0
01 Jan 2022
Robust Graph Neural Networks via Probabilistic Lipschitz Constraints
R. Arghal
Eric Lei
Shirin Saeedi Bidokhti
277
21
0
14 Dec 2021
threaTrace: Detecting and Tracing Host-based Threats in Node Level Through Provenance Graph Learning
Su Wang
Zhiliang Wang
Tao Zhou
Xia Yin
Dongqi Han
Han Zhang
Hongbin Sun
Xingang Shi
Jiahai Yang
283
165
0
08 Nov 2021
Robustness of Graph Neural Networks at Scale
Simon Geisler
Tobias Schmidt
Hakan cSirin
Daniel Zügner
Aleksandar Bojchevski
Stephan Günnemann
AAML
417
174
0
26 Oct 2021
Spatially Focused Attack against Spatiotemporal Graph Neural Networks
Fuqiang Liu
L. Miranda-Moreno
Lijun Sun
AAML
AI4TS
162
5
0
10 Sep 2021
Towards Self-Explainable Graph Neural Network
International Conference on Information and Knowledge Management (CIKM), 2021
Enyan Dai
Suhang Wang
345
108
0
26 Aug 2021
Understanding Structural Vulnerability in Graph Convolutional Networks
International Joint Conference on Artificial Intelligence (IJCAI), 2021
Liang Chen
Jintang Li
Qibiao Peng
Yang Liu
Zibin Zheng
Carl Yang
AAML
208
75
0
13 Aug 2021
Adversarial Robustness of Probabilistic Network Embedding for Link Prediction
Xi Chen
Bo Kang
Jefrey Lijffijt
T. D. Bie
AAML
210
2
0
05 Jul 2021
Understanding Adversarial Examples Through Deep Neural Network's Response Surface and Uncertainty Regions
Juan Shu
B. Xi
Charles A. Kamhoua
AAML
325
0
0
30 Jun 2021
NetFense: Adversarial Defenses against Privacy Attacks on Neural Networks for Graph Data
IEEE Transactions on Knowledge and Data Engineering (TKDE), 2021
I-Chung Hsieh
Cheng-Te Li
AAML
186
32
0
22 Jun 2021
BinarizedAttack: Structural Poisoning Attacks to Graph-based Anomaly Detection
IEEE International Conference on Data Engineering (ICDE), 2021
Yulin Zhu
Y. Lai
Kaifa Zhao
Xiapu Luo
Ming Yuan
Jian Ren
Wei Song
AAML
364
28
0
18 Jun 2021
NRGNN: Learning a Label Noise-Resistant Graph Neural Network on Sparsely and Noisily Labeled Graphs
Knowledge Discovery and Data Mining (KDD), 2021
Enyan Dai
Charu C. Aggarwal
Suhang Wang
NoLa
267
147
0
08 Jun 2021
Graph Computing for Financial Crime and Fraud Detection: Trends, Challenges and Outlook
International Journal of Semantic Computing (IJSC), 2020
Eren Kurshan
Hongda Shen
GNN
177
44
0
02 Mar 2021
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