Adversarial Attack on Large Scale Graph

Adversarial Attack on Large Scale Graph

8 September 2020

Papers citing "Adversarial Attack on Large Scale Graph"

17 / 17 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 51 0 0 29 Apr 2025
Revisiting Robustness in Graph Machine Learning Lukas Gosch Daniel Sturm Simon Geisler Stephan Günnemann AAML OOD 77 22 0 01 May 2023
Are Defenses for Graph Neural Networks Robust? Felix Mujkanovic Simon Geisler Stephan Günnemann Aleksandar Bojchevski OOD AAML 21 57 0 31 Jan 2023
Spectral Adversarial Training for Robust Graph Neural Network Jintang Li Jiaying Peng Liang Chen Zibin Zheng Tingting Liang Qing Ling AAML OOD 33 19 0 20 Nov 2022
Motif-Backdoor: Rethinking the Backdoor Attack on Graph Neural Networks via Motifs Haibin Zheng Haiyang Xiong Jinyin Chen Hao-Shang Ma Guohan Huang 52 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 52 22 0 23 Oct 2022
Empowering Graph Representation Learning with Test-Time Graph Transformation Wei Jin Tong Zhao Jiayu Ding Yozen Liu Jiliang Tang Neil Shah OOD 86 62 0 07 Oct 2022
Model Inversion Attacks against Graph Neural Networks Zaixin Zhang Qi Liu Zhenya Huang Hao Wang Cheekong Lee Enhong AAML 28 35 0 16 Sep 2022
Adversarial contamination of networks in the setting of vertex nomination: a new trimming method Sheyda Peyman M. Tang V. Lyzinski AAML 35 0 0 20 Aug 2022
Strategic Classification with Graph Neural Networks Itay Eilat Ben Finkelshtein Chaim Baskin Nir Rosenfeld 39 12 0 31 May 2022
GUARD: Graph Universal Adversarial Defense Jintang Li Jie Liao Ruofan Wu Liang Chen Zibin Zheng Jiawang Dan Changhua Meng Weiqiang Wang AAML 28 8 0 20 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 42 6 0 15 Feb 2022
Robustness of Graph Neural Networks at Scale Simon Geisler Tobias Schmidt Hakan cSirin Daniel Zügner Aleksandar Bojchevski Stephan Günnemann AAML 30 126 0 26 Oct 2021
Graph-Fraudster: Adversarial Attacks on Graph Neural Network Based Vertical Federated Learning Jinyin Chen Guohan Huang Haibin Zheng Shanqing Yu Wenrong Jiang Chen Cui AAML FedML 82 32 0 13 Oct 2021
A BIC-based Mixture Model Defense against Data Poisoning Attacks on Classifiers Xi Li David J. Miller Zhen Xiang G. Kesidis AAML 16 0 0 28 May 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
GraphAttacker: A General Multi-Task GraphAttack Framework Jinyin Chen Dunjie Zhang Zhaoyan Ming Kejie Huang Wenrong Jiang Chen Cui AAML 41 14 0 18 Jan 2021