Adversarial Attack on Community Detection by Hiding Individuals

22 January 2020

Papers citing "Adversarial Attack on Community Detection by Hiding Individuals"

22 / 22 papers shown

Title
AMNCutter: Affinity-Attention-Guided Multi-View Normalized Cutter for Unsupervised Surgical Instrument Segmentation Mingyu Sheng Jianan Fan Dongnan Liu Ron Kikinis Weidong Cai 39 0 0 06 Nov 2024
Expander Hierarchies for Normalized Cuts on Graphs Kathrin Hanauer Monika Henzinger Robin Münk Harald Räcke Maximilian Vötsch 20 0 0 20 Jun 2024
Rethinking Independent Cross-Entropy Loss For Graph-Structured Data Rui Miao Kaixiong Zhou Yili Wang Ninghao Liu Ying Wang Xin Wang 42 4 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 V. Chawla Wenlin Yao 45 7 0 17 May 2024
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
Turning Strengths into Weaknesses: A Certified Robustness Inspired Attack Framework against Graph Neural Networks Binghui Wang Meng Pang Yun Dong AAML 13 14 0 10 Mar 2023
Resisting Graph Adversarial Attack via Cooperative Homophilous Augmentation Zhihao Zhu Chenwang Wu Mingyang Zhou Hao Liao DefuLian Enhong Chen AAML 11 4 0 15 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
Towards Secrecy-Aware Attacks Against Trust Prediction in Signed Social Networks Yulin Zhu Tomasz P. Michalak Xiapu Luo Xiaoge Zhang Kai Zhou AAML 28 0 0 27 Jun 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
An Adversarial Attack Analysis on Malicious Advertisement URL Detection Framework Ehsan Nowroozi A. Abhishek Mohammadreza Mohammadi Mauro Conti AAML 41 30 0 27 Apr 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
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
Surrogate Representation Learning with Isometric Mapping for Gray-box Graph Adversarial Attacks Zihan Liu Yun Luo Z. Zang Stan Z. Li AAML 15 15 0 20 Oct 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 35 0 14 Jun 2021
Generative Adversarial Networks: A Survey Towards Private and Secure Applications Zhipeng Cai Zuobin Xiong Honghui Xu Peng-Shuai Wang Wei Li Yi-Lun Pan 24 139 0 07 Jun 2021
Mask-GVAE: Blind Denoising Graphs via Partition Jia Li Mengzhou Liu Honglei Zhang Pengyun Wang Yong Wen Lujia Pan Hong Cheng 21 9 0 08 Feb 2021
Model Extraction Attacks on Graph Neural Networks: Taxonomy and Realization Bang Wu Xiangwen Yang Shirui Pan Xingliang Yuan MIACV MLAU 55 53 0 24 Oct 2020
Efficient, Direct, and Restricted Black-Box Graph Evasion Attacks to Any-Layer Graph Neural Networks via Influence Function Binghui Wang Tianxiang Zhou Min-Bin Lin Pan Zhou Ang Li Meng Pang H. Li Yiran Chen AAML 21 18 0 01 Sep 2020
GraphReach: Position-Aware Graph Neural Network using Reachability Estimations Sunil Nishad Shubhangi Agarwal A. Bhattacharya Sayan Ranu GNN 6 20 0 19 Aug 2020
Adversarial Attacks and Defenses on Graphs: A Review, A Tool and Empirical Studies Wei Jin Yaxin Li Han Xu Yiqi Wang Shuiwang Ji Charu C. Aggarwal Jiliang Tang AAML GNN 24 102 0 02 Mar 2020
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 18 273 0 26 Dec 2018