Model stealing attacks against inductive graph neural networks
Many real-world data come in the form of graphs. Graph neural networks (GNNs), a new
family of machine learning (ML) models, have been proposed to fully leverage graph data to …
family of machine learning (ML) models, have been proposed to fully leverage graph data to …
[PDF][PDF] Model Stealing Attacks Against Inductive Graph Neural Networks
Y Shen, X He, Y Han, Y Zhang - nortonlifelock.com
Many real-world data come in the form of graphs. Graph neural networks (GNNs), a new
family of machine learning (ML) models, have been proposed to fully leverage graph data to …
family of machine learning (ML) models, have been proposed to fully leverage graph data to …
Model Stealing Attacks Against Inductive Graph Neural Networks
Y Shen, X He, Y Han, Y Zhang - SP 2022-43rd IEEE Symposium on …, 2022 - hal.science
Many real-world data come in the form of graphs. Graph neural networks (GNNs), a new
family of machine learning (ML) models, have been proposed to fully leverage graph data to …
family of machine learning (ML) models, have been proposed to fully leverage graph data to …
[PDF][PDF] Model Stealing Attacks Against Inductive Graph Neural Networks
Y Shen, X He, Y Han, Y Zhang - stage-www.nortonlifelock.com
Many real-world data come in the form of graphs. Graph neural networks (GNNs), a new
family of machine learning (ML) models, have been proposed to fully leverage graph data to …
family of machine learning (ML) models, have been proposed to fully leverage graph data to …
[PDF][PDF] Model Stealing Attacks Against Inductive Graph Neural Networks
Y Shen, X He, Y Han, Y Zhang - yangzhangalmo.github.io
Many real-world data come in the form of graphs. Graph neural networks (GNNs), a new
family of machine learning (ML) models, have been proposed to fully leverage graph data to …
family of machine learning (ML) models, have been proposed to fully leverage graph data to …
Model Stealing Attacks Against Inductive Graph Neural Networks
Y Shen, X He, Y Han, Y Zhang - 2022 IEEE Symposium on Security …, 2022 - computer.org
Many real-world data come in the form of graphs. Graph neural networks (GNNs), a new
family of machine learning (ML) models, have been proposed to fully leverage graph data to …
family of machine learning (ML) models, have been proposed to fully leverage graph data to …
Model Stealing Attacks Against Inductive Graph Neural Networks
Y Shen, X He, Y Han, Y Zhang - arXiv preprint arXiv:2112.08331, 2021 - arxiv.org
Many real-world data come in the form of graphs. Graph neural networks (GNNs), a new
family of machine learning (ML) models, have been proposed to fully leverage graph data to …
family of machine learning (ML) models, have been proposed to fully leverage graph data to …
Model Stealing Attacks Against Inductive Graph Neural Networks
Y Shen, X He, Y Han, Y Zhang - arXiv e-prints, 2021 - ui.adsabs.harvard.edu
Many real-world data come in the form of graphs. Graph neural networks (GNNs), a new
family of machine learning (ML) models, have been proposed to fully leverage graph data to …
family of machine learning (ML) models, have been proposed to fully leverage graph data to …
Model Stealing Attacks Against Inductive Graph Neural Networks
Y Shen, X He, Y Han, Y Zhang - SP 2022-43rd IEEE …, 2022 - centralesupelec.hal.science
Many real-world data come in the form of graphs. Graph neural networks (GNNs), a new
family of machine learning (ML) models, have been proposed to fully leverage graph data to …
family of machine learning (ML) models, have been proposed to fully leverage graph data to …
Model Stealing Attacks Against Inductive Graph Neural Networks
Y Shen, Y Han, Y Zhang - 2022 - publications.cispa.de
Many real-world data come in the form of graphs. Graph neural networks (GNNs), a new
family of machine learning (ML) models, have been proposed to fully leverage graph data to …
family of machine learning (ML) models, have been proposed to fully leverage graph data to …