Differentially Private Graph Neural Networks for Whole-Graph Classification-Reference-Cited by-同舟云学术

Differentially Private Graph Neural Networks for Whole-Graph Classification

Author:

Mueller Tamara T.¹^ORCID,Paetzold Johannes C.²,Prabhakar Chinmay³,Usynin Dmitrii¹,Rueckert Daniel¹^ORCID,Kaissis Georgios¹^ORCID

Affiliation:

1. Department of Computer Science, Chair for AI in Medicine and Healthcare, Technical University of Munich, Munchen, Germany

2. Department of Informatics, Technical University of Munich, Munchen, Germany

3. Department of Quantitative Bio Medicine, University of Zurich, Zurich, Switzerland

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Applied Mathematics,Artificial Intelligence,Computational Theory and Mathematics,Computer Vision and Pattern Recognition,Software

Link

Reference73 articles.

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5. Node-level membership inference attacks against graph neural networks;he,2021

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