Adversarial Attack on Graph Structured Data

6 June 2018

Jun Zhu

Papers citing "Adversarial Attack on Graph Structured Data"

50 / 152 papers shown

Title
Quantifying the Noise of Structural Perturbations on Graph Adversarial Attacks Junyuan Fang Han Yang Haixian Wen Jiajing Wu Zibin Zheng Chi K. Tse AAML 46 0 0 29 Apr 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 43 0 0 12 Mar 2025
Query-Based and Unnoticeable Graph Injection Attack from Neighborhood Perspective Chang Liu Hai Huang Yujie Xing Xingquan Zuo AAML 49 0 0 04 Feb 2025
You Can't Ignore Either: Unifying Structure and Feature Denoising for Robust Graph Learning Tianmeng Yang Jiahao Meng Min Zhou Yaming Yang Yujing Wang Xiangtai Li Yunhai Tong NoLa 34 1 0 01 Aug 2024
Debiased Graph Poisoning Attack via Contrastive Surrogate Objective Kanghoon Yoon Yeonjun In Namkyeong Lee Kibum Kim Chanyoung Park AAML 31 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 41 1 0 25 Jul 2024
Explainable Graph Neural Networks Under Fire Zhong Li Simon Geisler Yuhang Wang Stephan Günnemann M. Leeuwen AAML 43 0 0 10 Jun 2024
Gradient Compressed Sensing: A Query-Efficient Gradient Estimator for High-Dimensional Zeroth-Order Optimization Ruizhong Qiu Hanghang Tong 40 3 0 27 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 42 2 0 09 May 2024
Formal Verification of Graph Convolutional Networks with Uncertain Node Features and Uncertain Graph Structure Tobias Ladner Michael Eichelbeck Matthias Althoff GNN 63 0 0 23 Apr 2024
DEGNN: Dual Experts Graph Neural Network Handling Both Edge and Node Feature Noise Tai Hasegawa Sukwon Yun Xin Liu Yin Jun Phua Tsuyoshi Murata 29 0 0 14 Apr 2024
Graph Reinforcement Learning for Combinatorial Optimization: A Survey and Unifying Perspective Victor-Alexandru Darvariu Stephen Hailes Mirco Musolesi AI4CE 50 6 0 09 Apr 2024
A Survey of Graph Neural Networks in Real world: Imbalance, Noise, Privacy and OOD Challenges Wei Ju Siyu Yi Yifan Wang Zhiping Xiao Zhengyan Mao ... Senzhang Wang Xinwang Liu Xiao Luo Philip S. Yu Ming Zhang AI4CE 36 36 0 07 Mar 2024
AttackGNN: Red-Teaming GNNs in Hardware Security Using Reinforcement Learning Vasudev Gohil Satwik Patnaik D. Kalathil Jeyavijayan Rajendran AAML 40 3 0 21 Feb 2024
Use of Graph Neural Networks in Aiding Defensive Cyber Operations Shaswata Mitra Trisha Chakraborty Subash Neupane Aritran Piplai Sudip Mittal AAML 45 3 0 11 Jan 2024
Effective backdoor attack on graph neural networks in link prediction tasks Jiazhu Dai Haoyu Sun GNN 61 3 0 05 Jan 2024
Refining Latent Homophilic Structures over Heterophilic Graphs for Robust Graph Convolution Networks Chenyang Qiu Gu Nan Tianyu Xiong Wendi Deng Di Wang Zhiyang Teng Lijuan Sun Qimei Cui Xiaofeng Tao 19 5 0 27 Dec 2023
Robust Node Representation Learning via Graph Variational Diffusion Networks Jun Zhuang M. A. Hasan 21 7 0 18 Dec 2023
Robust Graph Neural Network based on Graph Denoising Victor M. Tenorio Samuel Rey Antonio G. Marques AAML 37 1 0 11 Dec 2023
$Poisoning $\times$ Evasion: Symbiotic Adversarial Robustness for Graph Neural Networks$ Poisoning $\times$ Evasion: Symbiotic Adversarial Robustness for Graph Neural Networks Ege Erdogan Simon Geisler Stephan Günnemann AAML 24 0 0 09 Dec 2023
On the Trade-Off between Stability and Representational Capacity in Graph Neural Networks Zhan Gao Amanda Prorok Elvin Isufi 35 1 0 04 Dec 2023
Hard Label Black Box Node Injection Attack on Graph Neural Networks Yu Zhou Zihao Dong Guofeng Zhang Jingchen Tang AAML GNN 16 0 0 22 Nov 2023
Exploring Graph Classification Techniques Under Low Data Constraints: A Comprehensive Study Kush Kothari Bhavya Mehta Reshmika Nambiar S. Shrawne 24 0 0 21 Nov 2023
Beyond Boundaries: A Comprehensive Survey of Transferable Attacks on AI Systems Guangjing Wang Ce Zhou Yuanda Wang Bocheng Chen Hanqing Guo Qiben Yan AAML SILM 68 3 0 20 Nov 2023
D4Explainer: In-Distribution GNN Explanations via Discrete Denoising Diffusion Jialin Chen Shirley Wu Abhijit Gupta Rex Ying DiffM 42 5 0 30 Oct 2023
Deceptive Fairness Attacks on Graphs via Meta Learning Jian Kang Yinglong Xia Ross Maciejewski Jiebo Luo Hanghang Tong 42 4 0 24 Oct 2023
Adversarial Attacks on Fairness of Graph Neural Networks Binchi Zhang Yushun Dong Chen Chen Yada Zhu Minnan Luo Jundong Li 43 3 0 20 Oct 2023
Tree Search in DAG Space with Model-based Reinforcement Learning for Causal Discovery Victor-Alexandru Darvariu Stephen Hailes Mirco Musolesi CML 46 2 0 20 Oct 2023
Everything Perturbed All at Once: Enabling Differentiable Graph Attacks Haoran Liu Bokun Wang Jianling Wang Xiangjue Dong Tianbao Yang James Caverlee AAML 36 3 0 29 Aug 2023
Single Node Injection Label Specificity Attack on Graph Neural Networks via Reinforcement Learning Dayuan Chen Jian Zhang Yuqian Lv Jinhuan Wang Hongjie Ni Shanqing Yu Zhen Wang Qi Xuan AAML 23 3 0 04 May 2023
Revisiting Robustness in Graph Machine Learning Lukas Gosch Daniel Sturm Simon Geisler Stephan Günnemann AAML OOD 72 21 0 01 May 2023
GrOVe: Ownership Verification of Graph Neural Networks using Embeddings Asim Waheed Vasisht Duddu Nadarajah Asokan 35 9 0 17 Apr 2023
Towards Reasonable Budget Allocation in Untargeted Graph Structure Attacks via Gradient Debias Zihan Liu Yun Luo Lirong Wu Zicheng Liu Stan Z. Li AAML 30 25 0 29 Mar 2023
A Survey on Malware Detection with Graph Representation Learning Tristan Bilot Nour El Madhoun Khaldoun Al Agha Anis Zouaoui AAML 13 20 0 28 Mar 2023
Graph Decision Transformer Shengchao Hu Li Shen Ya Zhang Dacheng Tao OffRL 36 15 0 07 Mar 2023
HyperAttack: Multi-Gradient-Guided White-box Adversarial Structure Attack of Hypergraph Neural Networks Chao Hu Ruishi Yu Binqi Zeng Yu Zhan Ying Fu Quan Zhang Rongkai Liu Heyuan Shi AAML 11 7 0 24 Feb 2023
Affinity Uncertainty-based Hard Negative Mining in Graph Contrastive Learning Chaoxi Niu Guansong Pang Ling-Hao Chen 24 9 0 31 Jan 2023
Robust Graph Representation Learning via Predictive Coding Billy Byiringiro Tommaso Salvatori Thomas Lukasiewicz OOD 31 6 0 09 Dec 2022
Spectral Adversarial Training for Robust Graph Neural Network Jintang Li Jiaying Peng Liang Chen Zibin Zheng Tingting Liang Qing Ling AAML OOD 28 18 0 20 Nov 2022
Person Text-Image Matching via Text-Feature Interpretability Embedding and External Attack Node Implantation Fan Li Hang Zhou Huafeng Li Yafei Zhang Z. Yu DiffM 35 5 0 16 Nov 2022
Self-Supervised Graph Structure Refinement for Graph Neural Networks Jianan Zhao Qianlong Wen Mingxuan Ju Chuxu Zhang Yanfang Ye 40 20 0 12 Nov 2022
QuerySnout: Automating the Discovery of Attribute Inference Attacks against Query-Based Systems Ana-Maria Cretu F. Houssiau Antoine Cully Yves-Alexandre de Montjoye AAML 15 10 0 09 Nov 2022
FocusedCleaner: Sanitizing Poisoned Graphs for Robust GNN-based Node Classification Yulin Zhu Liang Tong Gaolei Li Xiapu Luo Kai Zhou 33 4 0 25 Oct 2022
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
Scaling Laws for Reward Model Overoptimization Leo Gao John Schulman Jacob Hilton ALM 41 481 0 19 Oct 2022
A Unified Framework for Optimization-Based Graph Coarsening Manoj Kumar Anurag Sharma Surinder Kumar 24 12 0 02 Oct 2022
A Systematic Evaluation of Node Embedding Robustness Alexandru Mara Jefrey Lijffijt Stephan Günnemann T. D. Bie AAML 22 0 0 16 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