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"

40 / 90 papers shown

Title
Neighboring Backdoor Attacks on Graph Convolutional Network Liang Chen Qibiao Peng Jintang Li Yang Liu Jiawei Chen Yong Li Zibin Zheng GNN AAML 32 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 26 8 0 25 Dec 2021
Model Stealing Attacks Against Inductive Graph Neural Networks Yun Shen Xinlei He Yufei Han Yang Zhang 29 60 0 15 Dec 2021
CAP: Co-Adversarial Perturbation on Weights and Features for Improving Generalization of Graph Neural Networks Hao Xue Kaixiong Zhou Tianlong Chen Kai Guo Xia Hu Yi Chang Xin Wang AAML 35 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 30 126 0 26 Oct 2021
Inference Attacks Against Graph Neural Networks Zhikun Zhang Min Chen Michael Backes Yun Shen Yang Zhang MIACV AAML GNN 33 50 0 06 Oct 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 23 35 0 21 Aug 2021
Understanding Structural Vulnerability in Graph Convolutional Networks Liang Chen Jintang Li Qibiao Peng Yang Liu Zibin Zheng Carl Yang AAML 21 58 0 13 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 42 28 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 19 12 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 43 96 0 08 Jul 2021
NetFense: Adversarial Defenses against Privacy Attacks on Neural Networks for Graph Data I-Chung Hsieh Cheng-Te Li AAML 25 24 0 22 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 32 36 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 31 68 0 05 Jun 2021
Decentralized Inference with Graph Neural Networks in Wireless Communication Systems Mengyuan Lee Guanding Yu H. Dai GNN 55 41 0 19 Apr 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 34 43 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 33 47 0 20 Feb 2021
Interpretable Stability Bounds for Spectral Graph Filters Henry Kenlay D. Thanou Xiaowen Dong 24 39 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 22 13 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 37 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 38 36 0 04 Dec 2020
Reliable Graph Neural Networks via Robust Aggregation Simon Geisler Daniel Zügner Stephan Günnemann AAML OOD 14 71 0 29 Oct 2020
Contrastive Graph Neural Network Explanation Lukas Faber A. K. Moghaddam Roger Wattenhofer 38 36 0 26 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 Junyao Xing Yufei Ding AAML 19 34 0 22 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 22 16 0 01 Sep 2020
GNNGuard: Defending Graph Neural Networks against Adversarial Attacks Xiang Zhang Marinka Zitnik AAML 27 291 0 15 Jun 2020
Towards More Practical Adversarial Attacks on Graph Neural Networks Jiaqi Ma Shuangrui Ding Qiaozhu Mei AAML 17 121 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
DeepRobust: A PyTorch Library for Adversarial Attacks and Defenses Yaxin Li Wei Jin Han Xu Jiliang Tang AAML 32 131 0 13 May 2020
Defending against Backdoor Attack on Deep Neural Networks Kaidi Xu Sijia Liu Pin-Yu Chen Pu Zhao Xinyu Lin Xue Lin AAML 25 47 0 26 Feb 2020
Certified Robustness of Community Detection against Adversarial Structural Perturbation via Randomized Smoothing Jinyuan Jia Binghui Wang Xiaoyu Cao Neil Zhenqiang Gong AAML 85 84 0 09 Feb 2020
Edge Dithering for Robust Adaptive Graph Convolutional Networks V. Ioannidis G. Giannakis AAML 27 8 0 21 Oct 2019
GraphSAC: Detecting anomalies in large-scale graphs V. Ioannidis Dimitris Berberidis G. Giannakis 19 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 21 30 0 18 Oct 2019
On the Design of Black-box Adversarial Examples by Leveraging Gradient-free Optimization and Operator Splitting Method Pu Zhao Sijia Liu Pin-Yu Chen Nghia Hoang Kaidi Xu B. Kailkhura Xue Lin AAML 32 54 0 26 Jul 2019
Stability Properties of Graph Neural Networks Fernando Gama Joan Bruna Alejandro Ribeiro 36 226 0 11 May 2019
Interpreting Adversarial Examples by Activation Promotion and Suppression Kaidi Xu Sijia Liu Gaoyuan Zhang Mengshu Sun Pu Zhao Quanfu Fan Chuang Gan Xinyu Lin AAML FAtt 32 43 0 03 Apr 2019
Adversarial Attack and Defense on Graph Data: A Survey Lichao Sun Yingtong Dou Carl Yang Ji Wang Yixin Liu Philip S. Yu Lifang He Yangqiu Song GNN AAML 23 276 0 26 Dec 2018
Adversarial Machine Learning at Scale Alexey Kurakin Ian Goodfellow Samy Bengio AAML 314 3,115 0 04 Nov 2016