Adversarial Attacks on Graph Neural Networks via Meta Learning

22 February 2019

Stephan Günnemann

Papers citing "Adversarial Attacks on Graph Neural Networks via Meta Learning"

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Title
Framework GNN-AID: Graph Neural Network Analysis Interpretation and Defense Kirill Lukyanov Mikhail Drobyshevskiy Georgii Sazonov Mikhail Soloviov Ilya Makarov GNN 41 0 0 06 May 2025
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
Hierarchical Uncertainty-Aware Graph Neural Network Yoonhyuk Choi Jiho Choi Taewook Ko Chong-Kwon Kim 93 0 0 28 Apr 2025
VGFL-SA: Vertical Graph Federated Learning Structure Attack Based on Contrastive Learning Yang Chen Bin Zhou AAML FedML 38 0 0 24 Feb 2025
When Witnesses Defend: A Witness Graph Topological Layer for Adversarial Graph Learning Naheed Anjum Arafat D. Basu Yulia R. Gel Yuzhou Chen AAML 89 0 0 21 Sep 2024
You Can't Ignore Either: Unifying Structure and Feature Denoising for Robust Graph Learning Tianmeng Yang Jiahao Meng Min Zhou Yaming Yang Yujing Wang Xiangtai Li Yunhai Tong NoLa 27 1 0 01 Aug 2024
Debiased Graph Poisoning Attack via Contrastive Surrogate Objective Kanghoon Yoon Yeonjun In Namkyeong Lee Kibum Kim Chanyoung Park AAML 18 2 0 27 Jul 2024
RIDA: A Robust Attack Framework on Incomplete Graphs Jianke Yu Hanchen Wang Chen Chen Xiaoyang Wang Wenjie Zhang Ying Zhang Ying Zhang Xijuan Liu GNN OOD AAML 36 1 0 25 Jul 2024
Backdoor Graph Condensation Jiahao Wu Ning Lu Zeiyu Dai Kun Wang Wenqi Fan Shengcai Liu Qing Li Ke Tang AAML DD 58 5 0 03 Jul 2024
Simplified PCNet with Robustness Bingheng Li Xuanting Xie Haoxiang Lei Ruiyi Fang Zhao Kang 32 5 0 06 Mar 2024
Use of Graph Neural Networks in Aiding Defensive Cyber Operations Shaswata Mitra Trisha Chakraborty Subash Neupane Aritran Piplai Sudip Mittal AAML 32 3 0 11 Jan 2024
Adversarial Attacks on Fairness of Graph Neural Networks Binchi Zhang Yushun Dong Chen Chen Yada Zhu Minnan Luo Jundong Li 25 3 0 20 Oct 2023
Adversarial Robustness in Graph Neural Networks: A Hamiltonian Approach Kai Zhao Qiyu Kang Yang Song Rui She Sijie Wang Wee Peng Tay AAML 25 21 0 10 Oct 2023
GSLB: The Graph Structure Learning Benchmark Zhixun Li Liang Wang Xin Sun Yifan Luo Yanqiao Zhu ... Xiangxin Zhou Qiang Liu Shu Wu Liang Wang Jeffrey Xu Yu 33 33 0 08 Oct 2023
Learning How to Propagate Messages in Graph Neural Networks Teng Xiao Zhengyu Chen Donglin Wang Suhang Wang GNN 17 76 0 01 Oct 2023
Everything Perturbed All at Once: Enabling Differentiable Graph Attacks Haoran Liu Bokun Wang Jianling Wang Xiangjue Dong Tianbao Yang James Caverlee AAML 26 3 0 29 Aug 2023
VertexSerum: Poisoning Graph Neural Networks for Link Inference Ruyi Ding Shijin Duan Xiaolin Xu Yunsi Fei AAML GNN 30 4 0 02 Aug 2023
Towards Reasonable Budget Allocation in Untargeted Graph Structure Attacks via Gradient Debias Zihan Liu Yun Luo Lirong Wu Zicheng Liu Stan Z. Li AAML 10 25 0 29 Mar 2023
Are Defenses for Graph Neural Networks Robust? Felix Mujkanovic Simon Geisler Stephan Günnemann Aleksandar Bojchevski OOD AAML 19 56 0 31 Jan 2023
Resisting Graph Adversarial Attack via Cooperative Homophilous Augmentation Zhihao Zhu Chenwang Wu Mingyang Zhou Hao Liao DefuLian Enhong Chen AAML 11 4 0 15 Nov 2022
FocusedCleaner: Sanitizing Poisoned Graphs for Robust GNN-based Node Classification Yulin Zhu Liang Tong Gaolei Li Xiapu Luo Kai Zhou 25 4 0 25 Oct 2022
Augmentations in Hypergraph Contrastive Learning: Fabricated and Generative Tianxin Wei Yuning You Tianlong Chen Yang Shen Jingrui He Zhangyang Wang 22 45 0 07 Oct 2022
Automated Graph Self-supervised Learning via Multi-teacher Knowledge Distillation Lirong Wu Yufei Huang Haitao Lin Zicheng Liu Tianyu Fan Stan Z. Li SSL 42 5 0 05 Oct 2022
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
Robust Node Classification on Graphs: Jointly from Bayesian Label Transition and Topology-based Label Propagation Jun Zhuang M. Hasan 23 20 0 21 Aug 2022
Adversarial Camouflage for Node Injection Attack on Graphs Shuchang Tao Qi Cao Huawei Shen Yunfan Wu Liang Hou Fei Sun Xueqi Cheng AAML GNN 27 21 0 03 Aug 2022
Reliable Representations Make A Stronger Defender: Unsupervised Structure Refinement for Robust GNN Kuan Li Yang Liu Xiang Ao Jianfeng Chi Jinghua Feng Hao Yang Qing He AAML 36 63 0 30 Jun 2022
Transferable Graph Backdoor Attack Shuiqiao Yang Bao Gia Doan Paul Montague O. Vel Tamas Abraham S. Çamtepe D. Ranasinghe S. Kanhere AAML 27 36 0 21 Jun 2022
Strategic Classification with Graph Neural Networks Itay Eilat Ben Finkelshtein Chaim Baskin Nir Rosenfeld 27 11 0 31 May 2022
Large-Scale Privacy-Preserving Network Embedding against Private Link Inference Attacks Xiao Han Leye Wang Junjie Wu Yuncong Yang 13 4 0 28 May 2022
EvenNet: Ignoring Odd-Hop Neighbors Improves Robustness of Graph Neural Networks Runlin Lei Zhen Wang Yaliang Li Bolin Ding Zhewei Wei AAML 14 38 0 27 May 2022
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
Bandits for Structure Perturbation-based Black-box Attacks to Graph Neural Networks with Theoretical Guarantees Binghui Wang Youqin Li Pan Zhou AAML 20 13 0 07 May 2022
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
Neighbor Enhanced Graph Convolutional Networks for Node Classification and Recommendation Hao Chen Zhong Huang Yue Xu Zengde Deng Feiran Huang Peng He Zhoujun Li GNN 11 49 0 30 Mar 2022
Model-Agnostic Augmentation for Accurate Graph Classification Jaemin Yoo Sooyeon Shim U. Kang GNN 14 29 0 21 Feb 2022
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 25 78 0 17 Feb 2022
Robust Graph Representation Learning for Local Corruption Recovery Bingxin Zhou Yuanhong Jiang Yu Guang Wang Jingwei Liang Junbin Gao Shirui Pan Xiaoqun Zhang OOD 28 12 0 10 Feb 2022
Unsupervised Graph Poisoning Attack via Contrastive Loss Back-propagation Sixiao Zhang Hongxu Chen Xiangguo Sun Yicong Li Guandong Xu AAML SSL 20 42 0 20 Jan 2022
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 Yun Shen Xinlei He Yufei Han Yang Zhang 14 60 0 15 Dec 2021
Graph Robustness Benchmark: Benchmarking the Adversarial Robustness of Graph Machine Learning Qinkai Zheng Xu Zou Yuxiao Dong Yukuo Cen Da Yin Jiarong Xu Yang Yang Jie Tang OOD AAML 30 50 0 08 Nov 2021
Graph Posterior Network: Bayesian Predictive Uncertainty for Node Classification Maximilian Stadler Bertrand Charpentier Simon Geisler Daniel Zügner Stephan Günnemann UQCV BDL 28 80 0 26 Oct 2021
On the Convergence Theory for Hessian-Free Bilevel Algorithms Daouda Sow Kaiyi Ji Yingbin Liang 22 28 0 13 Oct 2021
Node Feature Kernels Increase Graph Convolutional Network Robustness M. Seddik Changmin Wu J. Lutzeyer Michalis Vazirgiannis AAML 17 8 0 04 Sep 2021
Towards Self-Explainable Graph Neural Network Enyan Dai Suhang Wang 25 83 0 26 Aug 2021
Improved Robustness and Safety for Pre-Adaptation of Meta Reinforcement Learning with Prior Regularization Lu Wen Songan Zhang H. E. Tseng Baljeet Singh Dimitar Filev H. Peng OffRL OnRL 19 1 0 19 Aug 2021
Jointly Attacking Graph Neural Network and its Explanations Wenqi Fan Wei Jin Xiaorui Liu Han Xu Xianfeng Tang Suhang Wang Qing Li Jiliang Tang Jianping Wang Charu C. Aggarwal AAML 32 28 0 07 Aug 2021
Advances in adversarial attacks and defenses in computer vision: A survey Naveed Akhtar Ajmal Saeed Mian Navid Kardan M. Shah AAML 22 235 0 01 Aug 2021
Subgraph Federated Learning with Missing Neighbor Generation Ke Zhang Carl Yang Xiaoxiao Li Lichao Sun S. Yiu FedML 19 163 0 25 Jun 2021