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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
On the Stability of Graph Convolutional Neural Networks: A Probabilistic Perspective Mihai Cucuringu Henry Kenlay Li Zhang Ning Zhang Xiaowen Dong GNN AAML 66 0 0 01 Jun 2025
Adverseness vs. Equilibrium: Exploring Graph Adversarial Resilience through Dynamic Equilibrium Xinxin Fan Wenxiong Chen Mengfan Li Wenqi Wei Ling Liu AAML 60 0 0 20 May 2025
Informed, but Not Always Improved: Challenging the Benefit of Background Knowledge in GNNs Kutalmış Coşkun Ivo Kavisanczki Amin Mirzaei Tom Siegl Bjarne C. Hiller Stefan Lüdtke Martin Becker 51 0 0 16 May 2025
Framework GNN-AID: Graph Neural Network Analysis Interpretation and Defense Kirill Lukyanov Mikhail Drobyshevskiy Georgii Sazonov Mikhail Soloviov Ilya Makarov GNN 120 0 0 06 May 2025
Exploiting Meta-Learning-based Poisoning Attacks for Graph Link Prediction Mingchen Li Di Zhuang Keyu Chen Dumindu Samaraweera Morris Chang AAML 78 0 0 08 Apr 2025
Are We There Yet? Unraveling the State-of-the-Art Graph Network Intrusion Detection Systems Chenglong Wang Pujia Zheng Jiaping Gui Cunqing Hua Wajih Ul Hassan AAML 120 0 0 26 Mar 2025
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
Adaptive Backdoor Attacks with Reasonable Constraints on Graph Neural Networks Xuewen Dong Jiachen Li Shujun Li Zhichao You Qiang Qu Yaroslav Kholodov Yulong Shen AAML 135 1 0 12 Mar 2025
VGFL-SA: Vertical Graph Federated Learning Structure Attack Based on Contrastive Learning Yang Chen Bin Zhou AAML FedML 65 0 0 24 Feb 2025
Dynamic Gradient Influencing for Viral Marketing Using Graph Neural Networks Saurabh Sharma Ambuj K. Singh AAML 90 0 0 21 Feb 2025
Query-Based and Unnoticeable Graph Injection Attack from Neighborhood Perspective Chang Liu Hai Huang Yujie Xing Xingquan Zuo AAML 84 0 0 04 Feb 2025
AGNNCert: Defending Graph Neural Networks against Arbitrary Perturbations with Deterministic Certification Jiate Li Binghui Wang AAML 121 2 0 02 Feb 2025
Personalized Layer Selection for Graph Neural Networks Kartik Sharma Vineeth Rakesh Mohan Yingtong Dou Srijan Kumar Mahashweta Das 130 0 0 24 Jan 2025
Practicable Black-box Evasion Attacks on Link Prediction in Dynamic Graphs -- A Graph Sequential Embedding Method Jiate Li Meng Pang Binghui Wang AAML 133 1 0 17 Dec 2024
Normalized Space Alignment: A Versatile Metric for Representation Analysis Danish Ebadulla Aditya Gulati Ambuj Singh 417 0 0 07 Nov 2024
ProTransformer: Robustify Transformers via Plug-and-Play Paradigm Zhichao Hou Weizhi Gao Yuchen Shen Feiyi Wang Xiaorui Liu VLM 70 2 0 30 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
SFR-GNN: Simple and Fast Robust GNNs against Structural Attacks Xing Ai Guanyu Zhu Yulin Zhu Yu Zheng Gaolei Li Jianhua Li Kai Zhou AAML 88 0 0 29 Aug 2024
GAIM: Attacking Graph Neural Networks via Adversarial Influence Maximization Xiaodong Yang Xiaoting Li Huiyuan Chen Yiwei Cai AAML 50 0 0 20 Aug 2024
Can Large Language Models Improve the Adversarial Robustness of Graph Neural Networks? Zhongjian Zhang Xiao Wang Huichi Zhou Yue Yu Mengmei Zhang Cheng Yang Chuan Shi AAML 91 9 0 16 Aug 2024
Debiased Graph Poisoning Attack via Contrastive Surrogate Objective Kanghoon Yoon Yeonjun In Namkyeong Lee Kibum Kim Chanyoung Park AAML 112 2 0 27 Jul 2024
RIDA: A Robust Attack Framework on Incomplete Graphs Jianke Yu Hanchen Wang Chen Chen Xiaoyang Wang Wenjie Zhang Ying Zhang Ying Zhang Xijuan Liu GNN OOD AAML 130 1 0 25 Jul 2024
Relaxing Graph Transformers for Adversarial Attacks Philipp Foth Lukas Gosch Simon Geisler Leo Schwinn Stephan Günnemann AAML 154 1 0 16 Jul 2024
Learning on Graphs with Large Language Models(LLMs): A Deep Dive into Model Robustness Kai Guo Zewen Liu Zhikai Chen Hongzhi Wen Wei Jin Jiliang Tang Yi Chang AAML 73 6 0 16 Jul 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
$k$ -Submodular Interdiction Problems under Distributional Risk-Receptiveness and Robustness: Application to Machine Learning Seonghun Park Manish Bansal 64 0 0 18 Jun 2024
Explainable Graph Neural Networks Under Fire Zhong Li Simon Geisler Yuhang Wang Stephan Günnemann M. Leeuwen AAML 79 1 0 10 Jun 2024
Efficient Topology-aware Data Augmentation for High-Degree Graph Neural Networks Dongrui Fan Xiaoyang Lin Renchi Yang Hongtao Wang 128 2 0 08 Jun 2024
IENE: Identifying and Extrapolating the Node Environment for Out-of-Distribution Generalization on Graphs Haoran Yang Xiaobing Pei Kai Yuan 113 0 0 02 Jun 2024
Node Injection Attack Based on Label Propagation Against Graph Neural Network Peican Zhu Zechen Pan Keke Tang Xiaodong Cui Jinhuan Wang Qi Xuan AAML 79 3 0 29 May 2024
Cross-Context Backdoor Attacks against Graph Prompt Learning Xiaoting Lyu Yufei Han Wei Wang Hangwei Qian Ivor Tsang Xiangliang Zhang SILM AAML 90 18 0 28 May 2024
Intruding with Words: Towards Understanding Graph Injection Attacks at the Text Level Runlin Lei Yuwei Hu Yuchen Ren Zhewei Wei 96 3 0 26 May 2024
Rethinking Independent Cross-Entropy Loss For Graph-Structured Data Rui Miao Kaixiong Zhou Yili Wang Ninghao Liu Ying Wang Xin Wang 104 5 0 24 May 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
Certifying Robustness of Graph Convolutional Networks for Node Perturbation with Polyhedra Abstract Interpretation Boqi Chen Kristóf Marussy Oszkár Semeráth Gunter Mussbacher Dániel Varró AAML 161 0 0 14 May 2024
Link Stealing Attacks Against Inductive Graph Neural Networks Yixin Wu Xinlei He Pascal Berrang Mathias Humbert Michael Backes Neil Zhenqiang Gong Yang Zhang 59 2 0 09 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
Test-Time Training on Graphs with Large Language Models (LLMs) Jiaxin Zhang Yiqi Wang Xihong Yang Siwei Wang Yu Feng Yu Shi Ruicaho Ren En Zhu Xinwang Liu 91 3 0 21 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
Fast Inference of Removal-Based Node Influence Weikai Li Zhiping Xiao Xiao Luo Yizhou Sun AAML 78 1 0 13 Mar 2024
Challenging Forgets: Unveiling the Worst-Case Forget Sets in Machine Unlearning Chongyu Fan Jiancheng Liu Alfred Hero Sijia Liu MU 90 34 0 12 Mar 2024
Revisiting Edge Perturbation for Graph Neural Network in Graph Data Augmentation and Attack Xin Liu Yuxiang Zhang Meng Wu Yurui Lai Kun He Wei Yan Shirui Pan Xiaochun Ye Xiaochun Ye AAML 94 2 0 10 Mar 2024
Simplified PCNet with Robustness Bingheng Li Xuanting Xie Haoxiang Lei Ruiyi Fang Zhao Kang 125 7 0 06 Mar 2024
Minimum Topology Attacks for Graph Neural Networks Mengmei Zhang Tianlin Li Chuan Shi Lingjuan Lyu Tianchi Yang Junping Du AAML 78 8 0 05 Mar 2024
Collaborate to Adapt: Source-Free Graph Domain Adaptation via Bi-directional Adaptation Zhen Zhang Meihan Liu Anhui Wang Hongyang Chen Zhao Li Jiajun Bu Bingsheng He TTA 86 13 0 03 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
Verifying message-passing neural networks via topology-based bounds tightening Christopher Hojny Shiqiang Zhang Juan S. Campos Ruth Misener AAML 109 7 0 21 Feb 2024
Attacking Large Language Models with Projected Gradient Descent Simon Geisler Tom Wollschlager M. H. I. Abdalla Johannes Gasteiger Stephan Günnemann AAML SILM 135 62 0 14 Feb 2024
SAGMAN: Stability Analysis of Graph Neural Networks on the Manifolds Wuxinlin Cheng Chenhui Deng Ali Aghdaei Zhiru Zhang Zhuo Feng AAML 78 1 0 13 Feb 2024
FedGT: Federated Node Classification with Scalable Graph Transformer Zaixin Zhang Qingyong Hu Yang Yu Weibo Gao Qi Liu FedML 82 4 0 26 Jan 2024