v1v2v3 (latest)

Topology Attack and Defense for Graph Neural Networks: An Optimization Perspective

10 June 2019

Papers citing "Topology Attack and Defense for Graph Neural Networks: An Optimization Perspective"

50 / 208 papers shown

Title
Adversarial Inter-Group Link Injection Degrades the Fairness of Graph Neural Networks Hussain Hussain Meng Cao Sandipan Sikdar D. Helic Elisabeth Lex M. Strohmaier Roman Kern 109 14 0 13 Sep 2022
Structure-Preserving Graph Representation Learning Ruiyi Fang Liangjiang Wen Zhao Kang Jianzhuang Liu 104 23 0 02 Sep 2022
What Does the Gradient Tell When Attacking the Graph Structure Zihan Liu Ge Wang Yun Luo Stan Z. Li AAML 50 2 0 26 Aug 2022
ARIEL: Adversarial Graph Contrastive Learning Shengyu Feng Baoyu Jing Yada Zhu Hanghang Tong 87 7 0 15 Aug 2022
Revisiting Adversarial Attacks on Graph Neural Networks for Graph Classification Xin Eric Wang Heng Chang Beini Xie Tian Bian Shiji Zhou Daixin Wang Qing Cui Wenwu Zhu AAML 84 10 0 13 Aug 2022
Are Gradients on Graph Structure Reliable in Gray-box Attacks? Zihan Liu Yun Luo Lirong Wu Siyuan Li Zicheng Liu Stan Z. Li AAML 107 23 0 07 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 107 66 0 30 Jun 2022
Transferable Graph Backdoor Attack Shuiqiao Yang Bao Gia Doan Paul Montague O. Vel Tamas Abraham S. Çamtepe Damith C. Ranasinghe S. Kanhere AAML 96 39 0 21 Jun 2022
EvenNet: Ignoring Odd-Hop Neighbors Improves Robustness of Graph Neural Networks Runlin Lei Zhen Wang Yaliang Li Bolin Ding Zhewei Wei AAML 98 45 0 27 May 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 Zhe Liu P. Zhao OOD 111 28 0 20 May 2022
Trustworthy Graph Neural Networks: Aspects, Methods and Trends He Zhang Bang Wu Lizhen Qu Shirui Pan Hanghang Tong Jian Pei 139 110 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 76 14 0 07 May 2022
Detecting Topology Attacks against Graph Neural Networks Senrong Xu Yuan Yao Liangyue Li Wei Yang F. Xu Hanghang Tong 84 3 0 21 Apr 2022
DropMessage: Unifying Random Dropping for Graph Neural Networks Taoran Fang Zhiqing Xiao Chunping Wang Jiarong Xu Xuan Yang Yang Yang 54 53 0 21 Apr 2022
GUARD: Graph Universal Adversarial Defense Jintang Li Jie Liao Ruofan Wu Liang Chen Zibin Zheng Jiawang Dan Changhua Meng Weiqiang Wang AAML 76 8 0 20 Apr 2022
A Comprehensive Survey on Trustworthy Graph Neural Networks: Privacy, Robustness, Fairness, and Explainability Enyan Dai Tianxiang Zhao Huaisheng Zhu Jun Xu Zhimeng Guo Hui Liu Jiliang Tang Suhang Wang 109 144 0 18 Apr 2022
Graph Neural Networks in Particle Physics: Implementations, Innovations, and Challenges S. Thais P. Calafiura G. Chachamis G. Dezoort Javier Mauricio Duarte S. Ganguly Michael Kagan D. Murnane Mark S. Neubauer K. Terao PINN AI4CE 121 31 0 23 Mar 2022
Exploring High-Order Structure for Robust Graph Structure Learning Guangqian Yang Yibing Zhan Jinlong Li Baosheng Yu Liu Liu Fengxiang He AAML 101 0 0 22 Mar 2022
Exploiting Neighbor Effect: Conv-Agnostic GNNs Framework for Graphs with Heterophily Jie Chen Shouzhen Chen Junbin Gao Zengfeng Huang Junping Zhang Jian Pu 105 27 0 19 Mar 2022
Graph Convolutional Neural Networks Sensitivity under Probabilistic Error Model Xinjue Wang Esa Ollila S. Vorobyov AAML 104 3 0 15 Mar 2022
Model-Agnostic Augmentation for Accurate Graph Classification Jaemin Yoo Sooyeon Shim U. Kang GNN 87 30 0 21 Feb 2022
Black-box Node Injection Attack for Graph Neural Networks Mingxuan Ju Yujie Fan Yanfang Ye Liang Zhao AAML 118 2 0 18 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 Jiang OOD 130 83 0 17 Feb 2022
Understanding and Improving Graph Injection Attack by Promoting Unnoticeability Yongqiang Chen Han Yang Yonggang Zhang Kaili Ma Tongliang Liu Bo Han James Cheng AAML 122 86 0 16 Feb 2022
Holistic Adversarial Robustness of Deep Learning Models Pin-Yu Chen Sijia Liu AAML 103 16 0 15 Feb 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 89 6 0 15 Feb 2022
Adversarial Graph Contrastive Learning with Information Regularization Shengyu Feng Baoyu Jing Yada Zhu Hanghang Tong 50 66 0 14 Feb 2022
Learning Robust Representation through Graph Adversarial Contrastive Learning Jiayan Guo Shangyang Li Yue Zhao Fei Huang 78 6 0 31 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 51 5 0 21 Jan 2022
Unsupervised Graph Poisoning Attack via Contrastive Loss Back-propagation Sixiao Zhang Hongxu Chen Xiangguo Sun Yicong Li Guandong Xu AAML SSL 109 43 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 78 11 0 17 Jan 2022
Task and Model Agnostic Adversarial Attack on Graph Neural Networks Kartik Sharma S. Verma Sourav Medya Arnab Bhattacharya Sayan Ranu AAML 64 10 0 25 Dec 2021
Model Stealing Attacks Against Inductive Graph Neural Networks Yun Shen Xinlei He Yufei Han Yang Zhang 87 66 0 15 Dec 2021
Graph Structural Attack by Perturbing Spectral Distance Lu Lin Ethan Blaser Hongning Wang AAML 30 31 0 01 Nov 2021
CAP: Co-Adversarial Perturbation on Weights and Features for Improving Generalization of Graph Neural Networks Hao Xue Kaixiong Zhou Tianlong Chen Kai Guo Helen Zhou Yi Chang Xin Wang AAML 76 15 0 28 Oct 2021
Robustness of Graph Neural Networks at Scale Simon Geisler Tobias Schmidt Hakan cSirin Daniel Zügner Aleksandar Bojchevski Stephan Günnemann AAML 109 135 0 26 Oct 2021
Generalization of Neural Combinatorial Solvers Through the Lens of Adversarial Robustness Simon Geisler Johanna Sommer Jan Schuchardt Aleksandar Bojchevski Stephan Günnemann AAML 60 39 0 21 Oct 2021
Surrogate Representation Learning with Isometric Mapping for Gray-box Graph Adversarial Attacks Zihan Liu Yun Luo Z. Zang Stan Z. Li AAML 85 15 0 20 Oct 2021
Inference Attacks Against Graph Neural Networks Zhikun Zhang Min Chen Michael Backes Yun Shen Yang Zhang MIACV AAML GNN 83 50 0 06 Oct 2021
CoG: a Two-View Co-training Framework for Defending Adversarial Attacks on Graph Xugang Wu Huijun Wu Xu Zhou Kai Lu AAML 16 0 0 12 Sep 2021
A Hard Label Black-box Adversarial Attack Against Graph Neural Networks Jiaming Mu Binghui Wang Qi Li Kun Sun Mingwei Xu Zhuotao Liu AAML 68 37 0 21 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 87 29 0 07 Aug 2021
Structack: Structure-based Adversarial Attacks on Graph Neural Networks Hussain Hussain Tomislav Duricic Elisabeth Lex D. Helic M. Strohmaier Roman Kern AAML GNN 87 13 0 23 Jul 2021
Robust Counterfactual Explanations on Graph Neural Networks Mohit Bajaj Lingyang Chu Zihui Xue J. Pei Lanjun Wang P. C. Lam Yong Zhang OOD 166 100 0 08 Jul 2021
On Generalization of Graph Autoencoders with Adversarial Training Tianjin Huang Yulong Pei Vlado Menkovski Mykola Pechenizkiy GNN 119 6 0 06 Jul 2021
Adversarial Robustness of Probabilistic Network Embedding for Link Prediction Xi Chen Bo Kang Jefrey Lijffijt T. D. Bie AAML 49 2 0 05 Jul 2021
NetFense: Adversarial Defenses against Privacy Attacks on Neural Networks for Graph Data I-Chung Hsieh Cheng-Te Li AAML 70 24 0 22 Jun 2021
Adversarial Attack on Graph Neural Networks as An Influence Maximization Problem Jiaqi Ma Junwei Deng Qiaozhu Mei AAML GNN 67 33 0 21 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 108 37 0 14 Jun 2021
GraphMI: Extracting Private Graph Data from Graph Neural Networks Zaixi Zhang Qi Liu Zhenya Huang Hao Wang Chengqiang Lu Chuanren Liu Enhong Chen 71 72 0 05 Jun 2021