Group property inference attacks against graph neural networks
X Wang, WH Wang - Proceedings of the 2022 ACM SIGSAC Conference …, 2022 - dl.acm.org
Recent research has shown that machine learning (ML) models are vulnerable to privacy
attacks that leak information about the training data. In this work, we consider Graph Neural …
attacks that leak information about the training data. In this work, we consider Graph Neural …
Group Property Inference Attacks Against Graph Neural Networks
X Wang, WH Wang - arXiv e-prints, 2022 - ui.adsabs.harvard.edu
With the fast adoption of machine learning (ML) techniques, sharing of ML models is
becoming popular. However, ML models are vulnerable to privacy attacks that leak …
becoming popular. However, ML models are vulnerable to privacy attacks that leak …
[PDF][PDF] Group Property Inference Attacks Against Graph Neural Networks
X Wang, WH Wang - Proceedings of the 2022 AACM SIGSAC …, 2022 - par.nsf.gov
Recent research has shown that machine learning (ML) models are vulnerable to privacy
attacks that leak information about the training data. In this work, we consider Graph Neural …
attacks that leak information about the training data. In this work, we consider Graph Neural …
Group Property Inference Attacks Against Graph Neural Networks
X Wang, WH Wang - arXiv preprint arXiv:2209.01100, 2022 - arxiv.org
With the fast adoption of machine learning (ML) techniques, sharing of ML models is
becoming popular. However, ML models are vulnerable to privacy attacks that leak …
becoming popular. However, ML models are vulnerable to privacy attacks that leak …