v1v2v3 (latest)

Transferring Robustness for Graph Neural Network Against Poisoning Attacks

20 August 2019

ArXiv (abs)PDF HTML Github (20★)

Papers citing "Transferring Robustness for Graph Neural Network Against Poisoning Attacks"

50 / 69 papers shown

Title
Deterministic Certification of Graph Neural Networks against Graph Poisoning Attacks with Arbitrary Perturbations Jiate Li Meng Pang Yun Dong Binghui Wang AAML 113 0 0 24 Mar 2025
Robust Graph Learning Against Adversarial Evasion Attacks via Prior-Free Diffusion-Based Structure Purification Jiayi Luo Qingyun Sun Haonan Yuan Xingcheng Fu Jianxin Li DiffM AAML 164 0 0 07 Feb 2025
AutoRNet: Automatically Optimizing Heuristics for Robust Network Design via Large Language Models He Yu Qingbin Liu 54 1 0 23 Oct 2024
When Witnesses Defend: A Witness Graph Topological Layer for Adversarial Graph Learning Naheed Anjum Arafat D. Basu Yulia R. Gel Yuzhou Chen AAML 460 1 0 21 Sep 2024
GraphMU: Repairing Robustness of Graph Neural Networks via Machine Unlearning Tao Wu Xinwen Cao Chao Wang Shaojie Qiao Xingping Xian Lin Yuan Canyixing Cui Yanbing Liu AAML 92 1 0 19 Jun 2024
Safety in Graph Machine Learning: Threats and Safeguards Song Wang Yushun Dong Binchi Zhang Zihan Chen Xingbo Fu Yinhan He Cong Shen Chuxu Zhang Nitesh Chawla Wenlin Yao 104 8 0 17 May 2024
Bounding the Expected Robustness of Graph Neural Networks Subject to Node Feature Attacks Yassine Abbahaddou Sofiane Ennadir J. Lutzeyer Michalis Vazirgiannis Henrik Bostrom AAML OOD 93 7 0 27 Apr 2024
Adversary-Robust Graph-Based Learning of WSIs Saba Heidari Gheshlaghi Milan Aryal Nasim Yahyasoltani Masoud Ganji OOD AAML 87 0 0 21 Mar 2024
A Simple and Yet Fairly Effective Defense for Graph Neural Networks Sofiane Ennadir Yassine Abbahaddou J. Lutzeyer Michalis Vazirgiannis Henrik Bostrom AAML 87 15 0 21 Feb 2024
Self-Guided Robust Graph Structure Refinement Yeonjun In Kanghoon Yoon Kibum Kim Kijung Shin Chanyoung Park AAML 87 7 0 19 Feb 2024
PAC-Bayesian Adversarially Robust Generalization Bounds for Graph Neural Network Tan Sun Junhong Lin AAML 86 3 0 06 Feb 2024
Explainability-Based Adversarial Attack on Graphs Through Edge Perturbation Dibaloke Chanda Saba Heidari Gheshlaghi Nasim Yahya Soltani AAML 57 1 0 28 Dec 2023
Sparse but Strong: Crafting Adversarially Robust Graph Lottery Tickets Subhajit Dutta Chowdhury Zhiyu Ni Qingyuan Peng Souvik Kundu Pierluigi Nuzzo 83 3 0 11 Dec 2023
Prov2vec: Learning Provenance Graph Representation for Unsupervised APT Detection Bibek Bhattarai H. H. Huang 28 2 0 02 Oct 2023
Everything Perturbed All at Once: Enabling Differentiable Graph Attacks Haoran Liu Bokun Wang Jianling Wang Xiangjue Dong Tianbao Yang James Caverlee AAML 103 3 0 29 Aug 2023
Detecting Vulnerable Nodes in Urban Infrastructure Interdependent Network Jinzhu Mao Liu Cao Chen Gao Huandong Wang Hangyu Fan Depeng Jin Yong Li GNN AI4CE 58 9 0 19 Jul 2023
Similarity Preserving Adversarial Graph Contrastive Learning Yeonjun In Kanghoon Yoon Chanyoung Park AAML 83 10 0 24 Jun 2023
A Unified Framework of Graph Information Bottleneck for Robustness and Membership Privacy Enyan Dai Limeng Cui Zhengyang Wang Xianfeng Tang Yinghan Wang Mo Cheng Bin Yin Suhang Wang AAML 99 16 0 14 Jun 2023
Graph Agent Network: Empowering Nodes with Decentralized Communications Capabilities for Adversarial Resilience Ao Liu Wenshan Li Tao Li Beibei Li Hanyuan Huang Guangquan Xu Pan Zhou AAML 56 0 0 12 Jun 2023
GrOVe: Ownership Verification of Graph Neural Networks using Embeddings Asim Waheed Vasisht Duddu Nadarajah Asokan 84 10 0 17 Apr 2023
A Comprehensive Survey on Deep Graph Representation Learning Wei Ju Zheng Fang Yiyang Gu Zequn Liu Qingqing Long ... Jingyang Yuan Yusheng Zhao Yifan Wang Xiao Luo Ming Zhang GNN AI4TS 184 163 0 11 Apr 2023
Graph Adversarial Immunization for Certifiable Robustness Shuchang Tao Huawei Shen Qi Cao Yunfan Wu Liang Hou Xueqi Cheng AAML 120 5 0 16 Feb 2023
Are Defenses for Graph Neural Networks Robust? Felix Mujkanovic Simon Geisler Stephan Günnemann Aleksandar Bojchevski OOD AAML 96 59 0 31 Jan 2023
Randomized Message-Interception Smoothing: Gray-box Certificates for Graph Neural Networks Yan Scholten Jan Schuchardt Simon Geisler Aleksandar Bojchevski Stephan Günnemann AAML 83 17 0 05 Jan 2023
Impact Of Missing Data Imputation On The Fairness And Accuracy Of Graph Node Classifiers Haris Mansoor Sarwan Ali Shafiq Alam Muhammad Asad Khan U. Hassan Imdadullah Khan FaML 78 5 0 01 Nov 2022
ASGNN: Graph Neural Networks with Adaptive Structure Zepeng Zhang Songtao Lu Zengfeng Huang Ziping Zhao AAML 86 1 0 03 Oct 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
Robust Node Classification on Graphs: Jointly from Bayesian Label Transition and Topology-based Label Propagation Jun Zhuang M. Hasan 71 20 0 21 Aug 2022
Robust Graph Neural Networks using Weighted Graph Laplacian Bharat Runwal Vivek Sandeep Kumar AAML OOD 53 5 0 03 Aug 2022
Challenges and Opportunities in Deep Reinforcement Learning with Graph Neural Networks: A Comprehensive review of Algorithms and Applications Sai Munikoti D. Agarwal L. Das M. Halappanavar Balasubramaniam Natarajan GNN OffRL AI4CE 93 66 0 16 Jun 2022
Condensing Graphs via One-Step Gradient Matching Wei Jin Xianfeng Tang Haoming Jiang Zheng Li Danqing Zhang Jiliang Tang Bin Ying DD 94 111 0 15 Jun 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 113 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
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
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 91 6 0 15 Feb 2022
Learning Robust Representation through Graph Adversarial Contrastive Learning Jiayan Guo Shangyang Li Yue Zhao Fei Huang 78 6 0 31 Jan 2022
Towards Robust Graph Neural Networks for Noisy Graphs with Sparse Labels Enyan Dai Wei Jin Hui Liu Suhang Wang NoLa 103 97 0 01 Jan 2022
Robust Graph Neural Networks via Probabilistic Lipschitz Constraints R. Arghal Eric Lei Shirin Saeedi Bidokhti 55 19 0 14 Dec 2021
threaTrace: Detecting and Tracing Host-based Threats in Node Level Through Provenance Graph Learning Su Wang Zhiliang Wang Tao Zhou Xia Yin Dongqi Han Han Zhang Hongbin Sun Xingang Shi Jiahai Yang 67 76 0 08 Nov 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
Spatially Focused Attack against Spatiotemporal Graph Neural Networks Fuqiang Liu L. Miranda-Moreno Lijun Sun AAML AI4TS 49 5 0 10 Sep 2021
Towards Self-Explainable Graph Neural Network Enyan Dai Suhang Wang 111 89 0 26 Aug 2021
Understanding Structural Vulnerability in Graph Convolutional Networks Liang Chen Jintang Li Qibiao Peng Yang Liu Zibin Zheng Carl Yang AAML 97 59 0 13 Aug 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
Understanding Adversarial Examples Through Deep Neural Network's Response Surface and Uncertainty Regions Juan Shu B. Xi Charles A. Kamhoua AAML 102 0 0 30 Jun 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
BinarizedAttack: Structural Poisoning Attacks to Graph-based Anomaly Detection Yulin Zhu Y. Lai Kaifa Zhao Xiapu Luo Ming Yuan Jian Ren Kai Zhou AAML 81 24 0 18 Jun 2021
NRGNN: Learning a Label Noise-Resistant Graph Neural Network on Sparsely and Noisily Labeled Graphs Enyan Dai Charu C. Aggarwal Suhang Wang NoLa 92 120 0 08 Jun 2021
Graph Computing for Financial Crime and Fraud Detection: Trends, Challenges and Outlook Eren Kurshan Hongda Shen GNN 66 33 0 02 Mar 2021
Financial Crime & Fraud Detection Using Graph Computing: Application Considerations & Outlook Eren Kurshan Honda Shen Haojie Yu GNN FaML 84 28 0 02 Mar 2021