Adversarial Attack on Graph Structured Data

6 June 2018

Jun Zhu

Papers citing "Adversarial Attack on Graph Structured Data"

50 / 152 papers shown

Title
TDGIA:Effective Injection Attacks on Graph Neural Networks Xu Zou Qinkai Zheng Yuxiao Dong Xinyu Guan Evgeny Kharlamov Jialiang Lu Jie Tang AAML 39 98 0 12 Jun 2021
What Can Knowledge Bring to Machine Learning? -- A Survey of Low-shot Learning for Structured Data Yang Hu Adriane P. Chapman Guihua Wen Dame Wendy Hall 42 24 0 11 Jun 2021
A Simple and Strong Baseline for Universal Targeted Attacks on Siamese Visual Tracking Zhenbang Li Yaya Shi Jin Gao Shaoru Wang Bing Li Pengpeng Liang Weiming Hu AAML 39 26 0 06 May 2021
Black-box Gradient Attack on Graph Neural Networks: Deeper Insights in Graph-based Attack and Defense Haoxi Zhan Xiaobing Pei AAML 24 9 0 30 Apr 2021
Decentralized Inference with Graph Neural Networks in Wireless Communication Systems Mengyuan Lee Guanding Yu H. Dai GNN 42 40 0 19 Apr 2021
Gradient-based Adversarial Attacks against Text Transformers Chuan Guo Alexandre Sablayrolles Hervé Jégou Douwe Kiela SILM 106 227 0 15 Apr 2021
Towards Robust Graph Contrastive Learning Nikola Jovanović Zhao Meng Lukas Faber Roger Wattenhofer SSL 26 33 0 25 Feb 2021
Adversarial Attack on Network Embeddings via Supervised Network Poisoning Viresh Gupta Tanmoy Chakraborty AAML 36 12 0 14 Feb 2021
SLAPS: Self-Supervision Improves Structure Learning for Graph Neural Networks Bahare Fatemi Layla El Asri Seyed Mehran Kazemi GNN SSL 22 159 0 09 Feb 2021
GraphAttacker: A General Multi-Task GraphAttack Framework Jinyin Chen Dunjie Zhang Zhaoyan Ming Kejie Huang Wenrong Jiang Chen Cui AAML 36 14 0 18 Jan 2021
Graph Neural Networks: Taxonomy, Advances and Trends Yu Zhou Haixia Zheng Xin Huang Shufeng Hao Dengao Li Jumin Zhao AI4TS 25 116 0 16 Dec 2020
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 37 14 0 12 Dec 2020
I-GCN: Robust Graph Convolutional Network via Influence Mechanism Haoxi Zhan Xiaobing Pei GNN AAML 27 1 0 11 Dec 2020
Recent Advances in Understanding Adversarial Robustness of Deep Neural Networks Tao Bai Jinqi Luo Jun Zhao AAML 49 8 0 03 Nov 2020
On the Stability of Graph Convolutional Neural Networks under Edge Rewiring Henry Kenlay D. Thanou Xiaowen Dong 19 30 0 26 Oct 2020
Contrastive Graph Neural Network Explanation Lukas Faber A. K. Moghaddam Roger Wattenhofer 29 36 0 26 Oct 2020
Learning to Deceive Knowledge Graph Augmented Models via Targeted Perturbation Mrigank Raman Aaron Chan Siddhant Agarwal Peifeng Wang Hansen Wang Sungchul Kim Ryan Rossi Handong Zhao Nedim Lipka Xiang Ren 36 19 0 24 Oct 2020
Beta Embeddings for Multi-Hop Logical Reasoning in Knowledge Graphs Hongyu Ren J. Leskovec BDL 23 206 0 22 Oct 2020
Information Obfuscation of Graph Neural Networks Peiyuan Liao Han Zhao Keyulu Xu Tommi Jaakkola Geoffrey J. Gordon Stefanie Jegelka Ruslan Salakhutdinov AAML 23 34 0 28 Sep 2020
Uncertainty-aware Attention Graph Neural Network for Defending Adversarial Attacks Boyuan Feng Yuke Wang Zihan Wang Yufei Ding AAML 11 34 0 22 Sep 2020
Auditing the Sensitivity of Graph-based Ranking with Visual Analytics Tiankai Xie Yuxin Ma Hanghang Tong My T. Thai Ross Maciejewski MLAU 36 7 0 15 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 14 16 0 01 Sep 2020
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
Backdoor Attacks to Graph Neural Networks Zaixi Zhang Jinyuan Jia Binghui Wang Neil Zhenqiang Gong GNN 24 211 0 19 Jun 2020
GNNGuard: Defending Graph Neural Networks against Adversarial Attacks Xiang Zhang Marinka Zitnik AAML 27 287 0 15 Jun 2020
Towards More Practical Adversarial Attacks on Graph Neural Networks Jiaqi Ma Shuangrui Ding Qiaozhu Mei AAML 17 120 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 29 28 0 23 May 2020
Graph Random Neural Network for Semi-Supervised Learning on Graphs Wenzheng Feng Jie Zhang Yuxiao Dong Yu Han Huanbo Luan Qian Xu Qiang Yang Evgeny Kharlamov Jie Tang 26 387 0 22 May 2020
DeepRobust: A PyTorch Library for Adversarial Attacks and Defenses Yaxin Li Wei Jin Han Xu Jiliang Tang AAML 32 129 0 13 May 2020
Scalable Attack on Graph Data by Injecting Vicious Nodes Jihong Wang Minnan Luo Fnu Suya Jundong Li Z. Yang Q. Zheng AAML GNN 24 85 0 22 Apr 2020
Topological Effects on Attacks Against Vertex Classification B. A. Miller Mustafa Çamurcu Alexander J. Gomez Kevin S. Chan Tina Eliassi-Rad AAML 16 2 0 12 Mar 2020
Indirect Adversarial Attacks via Poisoning Neighbors for Graph Convolutional Networks Tsubasa Takahashi GNN AAML 11 37 0 19 Feb 2020
Adversarial Robustness for Code Pavol Bielik Martin Vechev AAML 22 89 0 11 Feb 2020
Certified Robustness of Community Detection against Adversarial Structural Perturbation via Randomized Smoothing Jinyuan Jia Binghui Wang Xiaoyu Cao Neil Zhenqiang Gong AAML 83 83 0 09 Feb 2020
Adversarial Attack on Community Detection by Hiding Individuals Jia Li Honglei Zhang Zhichao Han Yu Rong Hong Cheng Junzhou Huang AAML 25 87 0 22 Jan 2020
How Robust Are Graph Neural Networks to Structural Noise? James Fox S. Rajamanickam NoLa OOD 14 21 0 21 Dec 2019
A Unified Framework for Data Poisoning Attack to Graph-based Semi-supervised Learning Xuanqing Liu Si Si Xiaojin Zhu Yang Li Cho-Jui Hsieh AAML 35 76 0 30 Oct 2019
Edge Dithering for Robust Adaptive Graph Convolutional Networks V. Ioannidis G. Giannakis AAML 27 8 0 21 Oct 2019
Mixup Inference: Better Exploiting Mixup to Defend Adversarial Attacks Tianyu Pang Kun Xu Jun Zhu AAML 28 103 0 25 Sep 2019
Adversarial Attack on Skeleton-based Human Action Recognition Jian Liu Naveed Akhtar Ajmal Mian AAML 27 68 0 14 Sep 2019
Certifiable Robustness and Robust Training for Graph Convolutional Networks Daniel Zügner Stephan Günnemann OffRL 36 160 0 28 Jun 2019
ROSA: Robust Salient Object Detection against Adversarial Attacks Haofeng Li Guanbin Li Yizhou Yu AAML 8 28 0 09 May 2019
Vertex Nomination, Consistent Estimation, and Adversarial Modification Joshua Agterberg Youngser Park Jonathan Larson Christopher M. White Carey E. Priebe V. Lyzinski 40 16 0 06 May 2019
Data Poisoning Attack against Knowledge Graph Embedding Hengtong Zhang T. Zheng Jing Gao Chenglin Miao Lu Su Yaliang Li K. Ren KELM 18 81 0 26 Apr 2019
Attacking Graph-based Classification via Manipulating the Graph Structure Binghui Wang Neil Zhenqiang Gong AAML 28 152 0 01 Mar 2019
Batch Virtual Adversarial Training for Graph Convolutional Networks Zhijie Deng Yinpeng Dong Jun Zhu GNN 28 62 0 25 Feb 2019
Adversarial Attacks on Graph Neural Networks via Meta Learning Daniel Zügner Stephan Günnemann OOD AAML GNN 28 564 0 22 Feb 2019
Graph Adversarial Training: Dynamically Regularizing Based on Graph Structure Fuli Feng Xiangnan He Jie Tang Tat-Seng Chua OOD AAML 34 218 0 20 Feb 2019
Graph Neural Networks: A Review of Methods and Applications Jie Zhou Ganqu Cui Shengding Hu Zhengyan Zhang Cheng Yang Zhiyuan Liu Lifeng Wang Changcheng Li Maosong Sun AI4CE GNN 28 5,400 0 20 Dec 2018
Deep Learning on Graphs: A Survey Ziwei Zhang Peng Cui Wenwu Zhu GNN 51 1,321 0 11 Dec 2018