A Unified Framework for Data Poisoning Attack to Graph-based Semi-supervised Learning

30 October 2019

Papers citing "A Unified Framework for Data Poisoning Attack to Graph-based Semi-supervised Learning"

7 / 7 papers shown

Title
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 36 1 0 25 Jul 2024
Everything Perturbed All at Once: Enabling Differentiable Graph Attacks Haoran Liu Bokun Wang Jianling Wang Xiangjue Dong Tianbao Yang James Caverlee AAML 26 3 0 29 Aug 2023
Model Inversion Attacks against Graph Neural Networks Zaixin Zhang Qi Liu Zhenya Huang Hao Wang Cheekong Lee Enhong AAML 15 35 0 16 Sep 2022
A Hard Label Black-box Adversarial Attack Against Graph Neural Networks Jiaming Mu Binghui Wang Qi Li Kun Sun Mingwei Xu Zhuotao Liu AAML 15 33 0 21 Aug 2021
Poisoning the Unlabeled Dataset of Semi-Supervised Learning Nicholas Carlini AAML 144 68 0 04 May 2021
Influence-Driven Data Poisoning in Graph-Based Semi-Supervised Classifiers Adriano Franci Maxime Cordy Martin Gubri Mike Papadakis Yves Le Traon AAML 13 6 0 14 Dec 2020
GNNGuard: Defending Graph Neural Networks against Adversarial Attacks Xiang Zhang Marinka Zitnik AAML 16 287 0 15 Jun 2020