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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
Understanding and Improvement of Adversarial Training for Network Embedding from an Optimization Perspective Lun Du Xu Chen Fei Gao Qiang Fu Kunqing Xie Shi Han Dongmei Zhang 99 12 0 17 May 2021
Mixture of Robust Experts (MoRE):A Robust Denoising Method towards multiple perturbations Kaidi Xu Chenan Wang Hao-Ran Cheng B. Kailkhura Xue Lin R. Goldhahn 31 3 0 21 Apr 2021
Adversarial Diffusion Attacks on Graph-based Traffic Prediction Models Lyuyi Zhu Kairui Feng Ziyuan Pu Wei-Ying Ma AAML DiffM 51 16 0 19 Apr 2021
Decentralized Inference with Graph Neural Networks in Wireless Communication Systems Mengyuan Lee Guanding Yu H. Dai GNN 92 41 0 19 Apr 2021
Preserve, Promote, or Attack? GNN Explanation via Topology Perturbation Yi Sun Abel N. Valente Sijia Liu Dakuo Wang AAML 71 7 0 25 Mar 2021
Spatio-Temporal Sparsification for General Robust Graph Convolution Networks Mingming Lu Ya Zhang OOD AAML 29 0 0 23 Mar 2021
Generating Adversarial Computer Programs using Optimized Obfuscations Shashank Srikant Sijia Liu Tamara Mitrovska Shiyu Chang Quanfu Fan Gaoyuan Zhang Una-May O’Reilly AAML 104 46 0 18 Mar 2021
On Fast Adversarial Robustness Adaptation in Model-Agnostic Meta-Learning Ren Wang Kaidi Xu Sijia Liu Pin-Yu Chen Tsui-Wei Weng Chuang Gan Meng Wang AAML 97 47 0 20 Feb 2021
Interpretable Stability Bounds for Spectral Graph Filters Henry Kenlay D. Thanou Xiaowen Dong 82 40 0 18 Feb 2021
SPADE: A Spectral Method for Black-Box Adversarial Robustness Evaluation Wuxinlin Cheng Chenhui Deng Zhiqiang Zhao Yaohui Cai Zhiru Zhang Zhuo Feng AAML 73 14 0 07 Feb 2021
Blindfolded Attackers Still Threatening: Strict Black-Box Adversarial Attacks on Graphs Jiarong Xu Yizhou Sun Xin Jiang Yanhao Wang Yang Yang Chunping Wang Jiangang Lu AAML 103 14 0 12 Dec 2020
Unsupervised Adversarially-Robust Representation Learning on Graphs Jiarong Xu Yang Yang Junru Chen Chunping Wang Xin Jiang Jiangang Lu Yizhou Sun SSL AAML OOD 169 38 0 04 Dec 2020
A Targeted Universal Attack on Graph Convolutional Network Jiazhu Dai Weifeng Zhu Xiangfeng Luo AAML GNN 44 20 0 29 Nov 2020
Single-Node Attacks for Fooling Graph Neural Networks Ben Finkelshtein Chaim Baskin Evgenii Zheltonozhskii Uri Alon AAML 36 12 0 06 Nov 2020
Reliable Graph Neural Networks via Robust Aggregation Simon Geisler Daniel Zügner Stephan Günnemann AAML OOD 55 72 0 29 Oct 2020
Deperturbation of Online Social Networks via Bayesian Label Transition Jun Zhuang M. Hasan AAML 107 10 0 27 Oct 2020
Contrastive Graph Neural Network Explanation Lukas Faber A. K. Moghaddam Roger Wattenhofer 85 36 0 26 Oct 2020
Uncertainty-Matching Graph Neural Networks to Defend Against Poisoning Attacks U. Shanthamallu Jayaraman J. Thiagarajan A. Spanias AAML 52 16 0 30 Sep 2020
Information Obfuscation of Graph Neural Networks Peiyuan Liao Han Zhao Keyulu Xu Tommi Jaakkola Geoffrey J. Gordon Stefanie Jegelka Ruslan Salakhutdinov AAML 130 35 0 28 Sep 2020
Uncertainty-aware Attention Graph Neural Network for Defending Adversarial Attacks Boyuan Feng Yuke Wang Ziyi Wang Yufei Ding AAML 70 34 0 22 Sep 2020
Scalable Adversarial Attack on Graph Neural Networks with Alternating Direction Method of Multipliers Boyuan Feng Yuke Wang Xu Li Yufei Ding GNN AAML 65 2 0 22 Sep 2020
Adversarial Attack on Large Scale Graph Jintang Li Tao Xie Liang Chen Fenfang Xie Xiangnan He Zibin Zheng AAML 87 67 0 08 Sep 2020
Efficient, Direct, and Restricted Black-Box Graph Evasion Attacks to Any-Layer Graph Neural Networks via Influence Function Binghui Wang Tianxiang Zhou Min Lin Pan Zhou Ang Li Meng Pang H. Li Yiran Chen AAML 128 20 0 01 Sep 2020
Reinforcement Learning-based Black-Box Evasion Attacks to Link Prediction in Dynamic Graphs Houxiang Fan Binghui Wang Pan Zhou Ang Li Meng Pang Zichuan Xu Cai Fu H. Li Yiran Chen AAML MLAU 70 17 0 01 Sep 2020
Efficient Robustness Certificates for Discrete Data: Sparsity-Aware Randomized Smoothing for Graphs, Images and More Aleksandar Bojchevski Johannes Klicpera Stephan Günnemann AAML 118 87 0 29 Aug 2020
Learning Node Representations against Perturbations Xu Chen Yuangang Pan Ivor Tsang Ya Zhang 32 3 0 26 Aug 2020
$On $\ell_p$-norm Robustness of Ensemble Stumps and Trees$ On $\ell_p$ -norm Robustness of Ensemble Stumps and Trees Yihan Wang Huan Zhang Hongge Chen Duane S. Boning Cho-Jui Hsieh AAML 42 7 0 20 Aug 2020
Robust Collective Classification against Structural Attacks Kai Zhou Yevgeniy Vorobeychik AAML 53 10 0 26 Jul 2020
Garment Design with Generative Adversarial Networks Chenxi Yuan Mohsen Moghaddam GAN AI4CE 58 7 0 21 Jul 2020
Graph Backdoor Zhaohan Xi Ren Pang S. Ji Ting Wang AI4CE AAML 72 172 0 21 Jun 2020
DefenseVGAE: Defending against Adversarial Attacks on Graph Data via a Variational Graph Autoencoder Ao Zhang Jinwen Ma AAML GNN 88 21 0 16 Jun 2020
GNNGuard: Defending Graph Neural Networks against Adversarial Attacks Xiang Zhang Marinka Zitnik AAML 108 298 0 15 Jun 2020
Towards More Practical Adversarial Attacks on Graph Neural Networks Jiaqi Ma Shuangrui Ding Qiaozhu Mei AAML 73 122 0 09 Jun 2020
Adversarial Attack on Hierarchical Graph Pooling Neural Networks Haoteng Tang Guixiang Ma Yurong Chen Lei Guo Wei Wang Bo Zeng Liang Zhan AAML 93 28 0 23 May 2020
DeepRobust: A PyTorch Library for Adversarial Attacks and Defenses Yaxin Li Wei Jin Han Xu Jiliang Tang AAML 90 133 0 13 May 2020
AN-GCN: An Anonymous Graph Convolutional Network Defense Against Edge-Perturbing Attack Ao Liu Beibei Li Tao Li Pan Zhou Rui Wang AAML 87 0 0 06 May 2020
Tensor Graph Convolutional Networks for Multi-relational and Robust Learning V. Ioannidis A. Marques G. Giannakis 75 26 0 15 Mar 2020
A Survey of Adversarial Learning on Graphs Liang Chen Jintang Li Jiaying Peng Tao Xie Zengxu Cao Kun Xu Xiangnan He Zibin Zheng Bingzhe Wu AAML 107 85 0 10 Mar 2020
Adversarial Attacks and Defenses on Graphs: A Review, A Tool and Empirical Studies Wei Jin Yaxin Li Han Xu Yiqi Wang Shuiwang Ji Charu C. Aggarwal Jiliang Tang AAML GNN 127 103 0 02 Mar 2020
Automatic Perturbation Analysis for Scalable Certified Robustness and Beyond Kaidi Xu Zhouxing Shi Huan Zhang Yihan Wang Kai-Wei Chang Minlie Huang B. Kailkhura Xinyu Lin Cho-Jui Hsieh AAML 64 12 0 28 Feb 2020
Defending against Backdoor Attack on Deep Neural Networks Kaidi Xu Sijia Liu Pin-Yu Chen Pu Zhao Xinyu Lin Xue Lin AAML 93 49 0 26 Feb 2020
Towards an Efficient and General Framework of Robust Training for Graph Neural Networks Kaidi Xu Sijia Liu Pin-Yu Chen Mengshu Sun Caiwen Ding B. Kailkhura Xinyu Lin OOD AAML 66 7 0 25 Feb 2020
Towards Query-Efficient Black-Box Adversary with Zeroth-Order Natural Gradient Descent Pu Zhao Pin-Yu Chen Siyue Wang Xinyu Lin AAML 73 36 0 18 Feb 2020
Graph Universal Adversarial Attacks: A Few Bad Actors Ruin Graph Learning Models Xiao Zang Yi Xie Jie Chen Bo Yuan AAML 76 48 0 12 Feb 2020
Certified Robustness of Community Detection against Adversarial Structural Perturbation via Randomized Smoothing Jinyuan Jia Binghui Wang Xiaoyu Cao Neil Zhenqiang Gong AAML 184 84 0 09 Feb 2020
Light-weight Calibrator: a Separable Component for Unsupervised Domain Adaptation Shaokai Ye Kailu Wu Mu Zhou Yunfei Yang S. Tan Kaidi Xu Jiebo Song Chenglong Bao Kaisheng Ma 72 21 0 28 Nov 2019
Certifiable Robustness to Graph Perturbations Aleksandar Bojchevski Stephan Günnemann AAML 106 126 0 31 Oct 2019
Edge Dithering for Robust Adaptive Graph Convolutional Networks V. Ioannidis G. Giannakis AAML 50 8 0 21 Oct 2019
GraphSAC: Detecting anomalies in large-scale graphs V. Ioannidis Dimitris Berberidis G. Giannakis 66 29 0 21 Oct 2019
Adversarial T-shirt! Evading Person Detectors in A Physical World Kaidi Xu Gaoyuan Zhang Sijia Liu Quanfu Fan Mengshu Sun Hongge Chen Pin-Yu Chen Yanzhi Wang Xue Lin AAML 90 30 0 18 Oct 2019