GNNGuard: Defending Graph Neural Networks against Adversarial Attacks

15 June 2020

Papers citing "GNNGuard: Defending Graph Neural Networks against Adversarial Attacks"

50 / 51 papers shown

Title
SpecSphere: Dual-Pass Spectral-Spatial Graph Neural Networks with Certified Robustness Y. Choi Chong-Kwon Kim 29 0 0 13 May 2025
Framework GNN-AID: Graph Neural Network Analysis Interpretation and Defense Kirill Lukyanov Mikhail Drobyshevskiy Georgii Sazonov Mikhail Soloviov Ilya Makarov GNN 46 0 0 06 May 2025
Robustness questions the interpretability of graph neural networks: what to do? Kirill Lukyanov Georgii Sazonov Serafim Boyarsky Ilya Makarov AAML 143 0 0 05 May 2025
Hierarchical Uncertainty-Aware Graph Neural Network Yoonhyuk Choi Jiho Choi Taewook Ko Chong-Kwon Kim 129 0 0 28 Apr 2025
GraphFM: Graph Factorization Machines for Feature Interaction Modeling Shu Wu Zekun Li Yunyue Su Zeyu Cui Xiaoyu Zhang Liang Wang 66 22 0 24 Feb 2025
Robust Graph Learning Against Adversarial Evasion Attacks via Prior-Free Diffusion-Based Structure Purification Jiayi Luo Qingyun Sun Haonan Yuan Xingcheng Fu Jianxin Li DiffM AAML 79 0 0 07 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 119 0 0 21 Sep 2024
Debiased Graph Poisoning Attack via Contrastive Surrogate Objective Kanghoon Yoon Yeonjun In Namkyeong Lee Kibum Kim Chanyoung Park AAML 23 2 0 27 Jul 2024
Krait: A Backdoor Attack Against Graph Prompt Tuning Ying Song Rita Singh Balaji Palanisamy AAML 50 0 0 18 Jul 2024
Towards Lightweight Graph Neural Network Search with Curriculum Graph Sparsification Beini Xie Heng Chang Ziwei Zhang Zeyang Zhang Simin Wu Xin Wang Yuan Meng Wenwu Zhu 29 2 0 24 Jun 2024
RobGC: Towards Robust Graph Condensation Xinyi Gao Hongzhi Yin Tong Chen Guanhua Ye Wentao Zhang Bin Cui AAML 51 3 0 19 Jun 2024
A Survey of Graph Neural Networks in Real world: Imbalance, Noise, Privacy and OOD Challenges Wei Ju Siyu Yi Yifan Wang Zhiping Xiao Zhengyan Mao ... Senzhang Wang Xinwang Liu Xiao Luo Philip S. Yu Ming Zhang AI4CE 36 36 0 07 Mar 2024
Simplified PCNet with Robustness Bingheng Li Xuanting Xie Haoxiang Lei Ruiyi Fang Zhao Kang 37 5 0 06 Mar 2024
Self-Attention Empowered Graph Convolutional Network for Structure Learning and Node Embedding Mengying Jiang Guizhong Liu Yuanchao Su Xinliang Wu GNN SSL 32 2 0 06 Mar 2024
Adversarial Robustness in Graph Neural Networks: A Hamiltonian Approach Kai Zhao Qiyu Kang Yang Song Rui She Sijie Wang Wee Peng Tay AAML 38 22 0 10 Oct 2023
A Survey on Privacy in Graph Neural Networks: Attacks, Preservation, and Applications Yi Zhang Yuying Zhao Zhaoqing Li Xueqi Cheng Yu-Chiang Frank Wang Olivera Kotevska Philip S. Yu Tyler Derr 26 10 0 31 Aug 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
GrOVe: Ownership Verification of Graph Neural Networks using Embeddings Asim Waheed Vasisht Duddu Nadarajah Asokan 35 9 0 17 Apr 2023
A Comprehensive Survey on Deep Graph Representation Learning Wei Ju Zheng Fang Yiyang Gu Zequn Liu Qingqing Long ... Jingyang Yuan Yusheng Zhao Yifan Wang Xiao Luo Ming Zhang GNN AI4TS 31 141 0 11 Apr 2023
Are Defenses for Graph Neural Networks Robust? Felix Mujkanovic Simon Geisler Stephan Günnemann Aleksandar Bojchevski OOD AAML 19 56 0 31 Jan 2023
Randomized Message-Interception Smoothing: Gray-box Certificates for Graph Neural Networks Yan Scholten Jan Schuchardt Simon Geisler Aleksandar Bojchevski Stephan Günnemann AAML 21 15 0 05 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
Self-Supervised Graph Structure Refinement for Graph Neural Networks Jianan Zhao Qianlong Wen Mingxuan Ju Chuxu Zhang Yanfang Ye 30 20 0 12 Nov 2022
FocusedCleaner: Sanitizing Poisoned Graphs for Robust GNN-based Node Classification Yulin Zhu Liang Tong Gaolei Li Xiapu Luo Kai Zhou 27 4 0 25 Oct 2022
FusionRetro: Molecule Representation Fusion via In-Context Learning for Retrosynthetic Planning Songtao Liu Zhengkai Tu Minkai Xu Zuobai Zhang Lu Lin Rex Ying Jian Tang Peilin Zhao Dinghao Wu 33 12 0 30 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 30 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 38 63 0 30 Jun 2022
Strategic Classification with Graph Neural Networks Itay Eilat Ben Finkelshtein Chaim Baskin Nir Rosenfeld 29 11 0 31 May 2022
EvenNet: Ignoring Odd-Hop Neighbors Improves Robustness of Graph Neural Networks Runlin Lei Zhen Wang Yaliang Li Bolin Ding Zhewei Wei AAML 16 40 0 27 May 2022
Trustworthy Graph Neural Networks: Aspects, Methods and Trends He Zhang Bang Wu Xingliang Yuan Shirui Pan Hanghang Tong Jian Pei 45 104 0 16 May 2022
Detecting Topology Attacks against Graph Neural Networks Senrong Xu Yuan Yao Liangyue Li Wei Yang F. Xu Hanghang Tong 34 3 0 21 Apr 2022
Deep Graph Learning for Anomalous Citation Detection Jiaying Liu Feng Xia Xu Feng Jing Ren Huan Liu 22 40 0 23 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 30 79 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 33 12 0 10 Feb 2022
GARNET: Reduced-Rank Topology Learning for Robust and Scalable Graph Neural Networks Chenhui Deng Xiuyu Li Zhuobo Feng Zhiru Zhang AAML 53 22 0 30 Jan 2022
Toward Enhanced Robustness in Unsupervised Graph Representation Learning: A Graph Information Bottleneck Perspective Jihong Wang Minnan Luo Jundong Li Ziqi Liu Jun Zhou Qinghua Zheng AAML 15 5 0 21 Jan 2022
Towards Robust Graph Neural Networks for Noisy Graphs with Sparse Labels Enyan Dai Wei-dong Jin Hui Liu Suhang Wang NoLa 33 92 0 01 Jan 2022
Task and Model Agnostic Adversarial Attack on Graph Neural Networks Kartik Sharma S. Verma Sourav Medya Arnab Bhattacharya Sayan Ranu AAML 21 8 0 25 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
Pointspectrum: Equivariance Meets Laplacian Filtering for Graph Representation Learning Marinos Poiitis Pavlos Sermpezis Athena Vakali 23 0 0 06 Sep 2021
Node Feature Kernels Increase Graph Convolutional Network Robustness M. Seddik Changmin Wu J. Lutzeyer Michalis Vazirgiannis AAML 17 8 0 04 Sep 2021
Advances in adversarial attacks and defenses in computer vision: A survey Naveed Akhtar Ajmal Saeed Mian Navid Kardan M. Shah AAML 26 235 0 01 Aug 2021
BinarizedAttack: Structural Poisoning Attacks to Graph-based Anomaly Detection Yulin Zhu Y. Lai Kaifa Zhao Xiapu Luo Ming Yuan Jian Ren Kai Zhou AAML 25 24 0 18 Jun 2021
How does Heterophily Impact the Robustness of Graph Neural Networks? Theoretical Connections and Practical Implications Jiong Zhu Junchen Jin Donald Loveland Michael T. Schaub Danai Koutra AAML 27 35 0 14 Jun 2021
Graph Neural Networks Inspired by Classical Iterative Algorithms Yongyi Yang T. Liu Yangkun Wang Jinjing Zhou Quan Gan Zhewei Wei Zheng-Wei Zhang Zengfeng Huang David Wipf 28 83 0 10 Mar 2021
Towards a Unified Framework for Fair and Stable Graph Representation Learning Chirag Agarwal Himabindu Lakkaraju Marinka Zitnik 19 155 0 25 Feb 2021
Towards Robust Graph Contrastive Learning Nikola Jovanović Zhao Meng Lukas Faber Roger Wattenhofer SSL 24 33 0 25 Feb 2021
GraphAttacker: A General Multi-Task GraphAttack Framework Jinyin Chen Dunjie Zhang Zhaoyan Ming Kejie Huang Wenrong Jiang Chen Cui AAML 31 14 0 18 Jan 2021
On the Generalizability of Neural Program Models with respect to Semantic-Preserving Program Transformations Md Rafiqul Islam Rabin Nghi D. Q. Bui Ke Wang Yijun Yu Lingxiao Jiang Mohammad Amin Alipour 30 90 0 31 Jul 2020