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

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"

11 / 11 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 41 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 34 3 0 29 Aug 2023
Analysis of Label-Flip Poisoning Attack on Machine Learning Based Malware Detector Kshitiz Aryal Maanak Gupta Mahmoud Abdelsalam AAML 18 18 0 03 Jan 2023
Rethinking Backdoor Data Poisoning Attacks in the Context of Semi-Supervised Learning Marissa Connor Vincent Emanuele SILM AAML 14 1 0 05 Dec 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
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
A Hard Label Black-box Adversarial Attack Against Graph Neural Networks Jiaming Mu Binghui Wang Qi Li Kun Sun Mingwei Xu Zhuotao Liu AAML 23 33 0 21 Aug 2021
Poisoning and Backdooring Contrastive Learning Nicholas Carlini Andreas Terzis 41 156 0 17 Jun 2021
Poisoning the Unlabeled Dataset of Semi-Supervised Learning Nicholas Carlini AAML 149 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 18 6 0 14 Dec 2020
GNNGuard: Defending Graph Neural Networks against Adversarial Attacks Xiang Zhang Marinka Zitnik AAML 27 287 0 15 Jun 2020