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With the increasing popularity of graph neural networks (GNNs) in several sensitive applications like healthcare and medicine, concerns have been raised over the privacy aspects of trained GNNs.
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Cynthia Dwork, Frank McSherry, Kobbi Nissim, and Adam Smith · 2006
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Why does unsupervised pre-training help deep learning?
Dumitru Erhan, Aaron Courville, Yoshua Bengio, and Pascal Vincent · 2010
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Introducing the knowledge graph: Things, not strings, May 2012
Amit Singhal · 2012
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Social structure of facebook networks
Amanda L Traud, Peter J Mucha, and Mason A Porter · 2012
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Wikidata: a free collaborative knowledgebase
Denny Vrandečić and Markus Krötzsch · 2014
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Image-based recommendations on styles and substitutes
Julian McAuley, Christopher Targett, Qinfeng Shi, and Anton van den Hengel · 2015
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Deep learning with differential privacy
Martin Abadi, Andy Chu, Ian Goodfellow, H Brendan McMahan, Ilya Mironov, Kunal Talwar, and Li Zhang · 2016
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Lisa Ehrlinger and Wolfram Wöß · 2016
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Nicolas Papernot, Martín Abadi, Ulfar Erlingsson, Ian Goodfellow, and Kunal Talwar · 2016
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Thomas Pellissier Tanon, Denny Vrandečić, Sebastian Schaffert, Thomas Steiner, and Lydia Pintscher · 2016
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William L. Hamilton, Rex Ying, and Jure Leskovec · 2017
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Semi-supervised classification with graph convolutional networks
Thomas N. Kipf and Max Welling · 2017
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Rényi differential privacy
Ilya Mironov · 2017
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Privacy amplification by subsampling: Tight analyses via couplings and divergences
Borja Balle, Gilles Barthe, and Marco Gaboardi · 2018
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To label or not to label: The effect of stance and credibility labels on readers’ selection and perception of news articles
Mingkun Gao, Ziang Xiao, Karrie Karahalios, and Wai-Tat Fu · 2018
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Sofia Ira Ktena, Sarah Parisot, Enzo Ferrante, Martin Rajchl, Matthew Lee, Ben Glocker, and Daniel Rueckert · 2018
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Oleksandr Shchur, Maximilian Mumme, Aleksandar Bojchevski, and Stephan Günnemann · 2018
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Wei-Lin Chiang, Xuanqing Liu, Si Si, Yang Li, Samy Bengio, and Cho-Jui Hsieh · 2019
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Subsampled rényi differential privacy and analytical moments accountant
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Vasisht Duddu, Antoine Boutet, and Virat Shejwalkar · 2020
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Membership inference attack on graph neural networks
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Encounters with visual misinformation and labels across platforms: An interview and diary study to inform ecosystem approaches to misinformation interventions
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Towards representation identical privacy-preserving graph neural network via split learning
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