Adversarial Attacks on Neural Networks for Graph Data

21 May 2018

Stephan Günnemann

Papers citing "Adversarial Attacks on Neural Networks for Graph Data"

50 / 193 papers shown

Title
Motif-Backdoor: Rethinking the Backdoor Attack on Graph Neural Networks via Motifs Haibin Zheng Haiyang Xiong Jinyin Chen Hao-Shang Ma Guohan Huang 47 28 0 25 Oct 2022
GANI: Global Attacks on Graph Neural Networks via Imperceptible Node Injections Junyuan Fang Haixian Wen Jiajing Wu Qi Xuan Zibin Zheng Chi K. Tse AAML 42 22 0 23 Oct 2022
Augmentations in Hypergraph Contrastive Learning: Fabricated and Generative Tianxin Wei Yuning You Tianlong Chen Yang Shen Jingrui He Zhangyang Wang 41 45 0 07 Oct 2022
Empowering Graph Representation Learning with Test-Time Graph Transformation Wei Jin Tong Zhao Jiayu Ding Yozen Liu Jiliang Tang Neil Shah OOD 86 61 0 07 Oct 2022
Federated Graph-based Networks with Shared Embedding Tianyi Yu Pei-Ci Lai Fei Teng FedML 34 3 0 03 Oct 2022
How Powerful is Implicit Denoising in Graph Neural Networks Songtao Liu Rex Ying Hanze Dong Lu Lin Jinghui Chen Di Wu GNN AI4CE 22 3 0 29 Sep 2022
Sparse Vicious Attacks on Graph Neural Networks Giovanni Trappolini Valentino Maiorca Silvio Severino Emanuele Rodolà Fabrizio Silvestri Gabriele Tolomei AAML 30 8 0 20 Sep 2022
Model Inversion Attacks against Graph Neural Networks Zaixin Zhang Qi Liu Zhenya Huang Hao Wang Cheekong Lee Enhong AAML 23 35 0 16 Sep 2022
Defending Against Backdoor Attack on Graph Nerual Network by Explainability B. Jiang Zhao Li AAML GNN 64 16 0 07 Sep 2022
NOSMOG: Learning Noise-robust and Structure-aware MLPs on Graphs Yijun Tian Chuxu Zhang Zhichun Guo Xiangliang Zhang Nitesh V. Chawla 47 14 0 22 Aug 2022
Robust Node Classification on Graphs: Jointly from Bayesian Label Transition and Topology-based Label Propagation Jun Zhuang M. Hasan 36 20 0 21 Aug 2022
Adversarial contamination of networks in the setting of vertex nomination: a new trimming method Sheyda Peyman M. Tang V. Lyzinski AAML 28 0 0 20 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
Towards Effective Multi-Label Recognition Attacks via Knowledge Graph Consistency Hassan Mahmood Ehsan Elhamifar AAML 21 0 0 11 Jul 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 44 63 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 41 36 0 21 Jun 2022
Strategic Classification with Graph Neural Networks Itay Eilat Ben Finkelshtein Chaim Baskin Nir Rosenfeld 35 12 0 31 May 2022
On the Prediction Instability of Graph Neural Networks Max Klabunde Florian Lemmerich 40 5 0 20 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 45 25 0 20 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
Discovering and Explaining the Representation Bottleneck of Graph Neural Networks from Multi-order Interactions Fang Wu Siyuan Li Lirong Wu Dragomir R. Radev Stan Z. Li 27 2 0 15 May 2022
Bandits for Structure Perturbation-based Black-box Attacks to Graph Neural Networks with Theoretical Guarantees Binghui Wang Youqin Li Pan Zhou AAML 34 13 0 07 May 2022
Detecting Topology Attacks against Graph Neural Networks Senrong Xu Yuan Yao Liangyue Li Wei Yang F. Xu Hanghang Tong 42 3 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 21 8 0 20 Apr 2022
Reinforcement learning on graphs: A survey Mingshuo Nie Dongming Chen Dongqi Wang 39 45 0 13 Apr 2022
Neighbor Enhanced Graph Convolutional Networks for Node Classification and Recommendation Hao Chen Zhong Huang Yue Xu Zengde Deng Feiran Huang Peng He Zhoujun Li GNN 19 51 0 30 Mar 2022
Defending Black-box Skeleton-based Human Activity Classifiers He Wang Yunfeng Diao Zichang Tan G. Guo AAML 51 10 0 09 Mar 2022
Projective Ranking-based GNN Evasion Attacks He Zhang Xingliang Yuan Chuan Zhou Shirui Pan AAML 42 23 0 25 Feb 2022
EIGNN: Efficient Infinite-Depth Graph Neural Networks Juncheng Liu Kenji Kawaguchi Bryan Hooi Yiwei Wang X. Xiao GNN 33 37 0 22 Feb 2022
Model-Agnostic Augmentation for Accurate Graph Classification Jaemin Yoo Sooyeon Shim U. Kang GNN 29 29 0 21 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 30 79 0 17 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 32 6 0 15 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 36 12 0 10 Feb 2022
Verification-Aided Deep Ensemble Selection Guy Amir Tom Zelazny Guy Katz Michael Schapira AAML 30 18 0 08 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
Deconfounding to Explanation Evaluation in Graph Neural Networks Yingmin Wu Xiang Wang An Zhang Xia Hu Fuli Feng Xiangnan He Tat-Seng Chua FAtt CML 17 14 0 21 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 23 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 25 42 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 32 11 0 17 Jan 2022
FairEdit: Preserving Fairness in Graph Neural Networks through Greedy Graph Editing Donald Loveland Jiayi Pan A. Bhathena Yiyang Lu 13 16 0 10 Jan 2022
Towards Robust Graph Neural Networks for Noisy Graphs with Sparse Labels Enyan Dai Wei-dong Jin Hui Liu Suhang Wang NoLa 41 92 0 01 Jan 2022
Toward the Analysis of Graph Neural Networks Thanh-Dat Nguyen Thanh Le-Cong Thanh-Hung Nguyen X. Le Quyet-Thang Huynh GNN 27 3 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 Structure Learning with Variational Information Bottleneck Qingyun Sun Jianxin Li Hao Peng Jia Wu Xingcheng Fu Cheng Ji Philip S. Yu 41 154 0 16 Dec 2021
Model Stealing Attacks Against Inductive Graph Neural Networks Yun Shen Xinlei He Yufei Han Yang Zhang 19 60 0 15 Dec 2021
Robust Graph Neural Networks via Probabilistic Lipschitz Constraints R. Arghal Eric Lei Shirin Saeedi Bidokhti 19 19 0 14 Dec 2021
Quantifying and Understanding Adversarial Examples in Discrete Input Spaces Volodymyr Kuleshov Evgenii Nikishin S. Thakoor Tingfung Lau Stefano Ermon AAML 27 1 0 12 Dec 2021
SNEAK: Synonymous Sentences-Aware Adversarial Attack on Natural Language Video Localization Wenbo Gou Wen Shi Jian Lou Lijie Huang Pan Zhou Ruixuan Li AAML 37 2 0 08 Dec 2021
TEGDetector: A Phishing Detector that Knows Evolving Transaction Behaviors Haibin Zheng Minying Ma Jinyin Chen Haiyang Xiong Zhijun Yang 25 9 0 26 Nov 2021
Implicit vs Unfolded Graph Neural Networks Yongyi Yang Tang Liu Yangkun Wang Zengfeng Huang David Wipf 52 15 0 12 Nov 2021