Node Injection Attacks on Graphs via Reinforcement Learning

14 September 2019

Vasant Honavar

Papers citing "Node Injection Attacks on Graphs via Reinforcement Learning"

22 / 22 papers shown

Title
Exploiting Meta-Learning-based Poisoning Attacks for Graph Link Prediction Mingchen Li Di Zhuang Keyu Chen Dumindu Samaraweera Morris Chang AAML 45 0 0 08 Apr 2025
Query-Efficient Adversarial Attack Against Vertical Federated Graph Learning Jinyin Chen Wenbo Mu Luxin Zhang Guohan Huang Haibin Zheng Yao Cheng FedML AAML 25 0 0 05 Nov 2024
GAIM: Attacking Graph Neural Networks via Adversarial Influence Maximization Xiaodong Yang Xiaoting Li Huiyuan Chen Yiwei Cai AAML 26 0 0 20 Aug 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 47 7 0 17 May 2024
Adversarial Attacks on Fairness of Graph Neural Networks Binchi Zhang Yushun Dong Chen Chen Yada Zhu Minnan Luo Jundong Li 55 3 0 20 Oct 2023
Simple and Efficient Partial Graph Adversarial Attack: A New Perspective Guanghui Zhu Meng Chen Chun Yuan Jiaming Ji AAML 26 6 0 15 Aug 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
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 17 7 0 24 Feb 2023
GUAP: Graph Universal Attack Through Adversarial Patching Xiao Zang Jie Chen Bo Yuan AAML 20 4 0 04 Jan 2023
Let Graph be the Go Board: Gradient-free Node Injection Attack for Graph Neural Networks via Reinforcement Learning Mingxuan Ju Yujie Fan Chuxu Zhang Yanfang Ye AAML 30 35 0 19 Nov 2022
Black-box Node Injection Attack for Graph Neural Networks Mingxuan Ju Yujie Fan Yanfang Ye Liang Zhao AAML 18 2 0 18 Feb 2022
Adversarial Attack on Graph Neural Networks as An Influence Maximization Problem Jiaqi Ma Junwei Deng Qiaozhu Mei AAML GNN 19 33 0 21 Jun 2021
Graphfool: Targeted Label Adversarial Attack on Graph Embedding Jinyin Chen Xiang Lin Dunjie Zhang Haibin Zheng Guohan Huang Hui Xiong Xiang Lin AAML 56 3 0 24 Feb 2021
A Targeted Universal Attack on Graph Convolutional Network Jiazhu Dai Weifeng Zhu Xiangfeng Luo AAML GNN 27 19 0 29 Nov 2020
Semantic-preserving Reinforcement Learning Attack Against Graph Neural Networks for Malware Detection Lan Zhang Peng Liu Yoon-Ho Choi Ping Chen AAML 30 37 0 11 Sep 2020
Say No to the Discrimination: Learning Fair Graph Neural Networks with Limited Sensitive Attribute Information Enyan Dai Suhang Wang FaML 16 241 0 03 Sep 2020
Towards More Practical Adversarial Attacks on Graph Neural Networks Jiaqi Ma Shuangrui Ding Qiaozhu Mei AAML 17 120 0 09 Jun 2020
Scalable Attack on Graph Data by Injecting Vicious Nodes Jihong Wang Minnan Luo Fnu Suya Jundong Li Z. Yang Q. Zheng AAML GNN 27 87 0 22 Apr 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 32 103 0 02 Mar 2020
Transferring Robustness for Graph Neural Network Against Poisoning Attacks Xianfeng Tang Yandong Li Yiwei Sun Huaxiu Yao P. Mitra Suhang Wang OOD AAML 27 181 0 20 Aug 2019
Learning Transferable Adversarial Examples via Ghost Networks Yingwei Li S. Bai Yuyin Zhou Cihang Xie Zhishuai Zhang Alan Yuille AAML 42 136 0 09 Dec 2018
Graph Convolutional Policy Network for Goal-Directed Molecular Graph Generation Jiaxuan You Bowen Liu Rex Ying Vijay S. Pande J. Leskovec GNN 215 886 0 07 Jun 2018