A Survey on Privacy in Graph Neural Networks: Attacks, Preservation, and Applications Article Swipe
Yi Zhang
,
Yuying Zhao
,
Zhaoqing Li
,
Xueqi Cheng
,
Yu Wang
,
Olivera Kotevska
,
Philip S. Yu
,
Tyler Derr
·
YOU?
·
· 2024
· Open Access
·
· DOI: https://doi.org/10.1109/tkde.2024.3454328
YOU?
·
· 2024
· Open Access
·
· DOI: https://doi.org/10.1109/tkde.2024.3454328
Graph Neural Networks (GNNs) have gained significant attention owing to their ability to handle graph-structured data and the improvement in practical applications. However, many of these models prioritize high utility performance, such as accuracy, with a lack of privacy consideration, which is a major concern in modern society where privacy attacks are rampant. To address this issue, researchers have started to develop privacy-preserving GNNs. Despite this progress, there is a lack of a comprehensive overview of the attacks and the techniques for preserving privacy in the graph domain. In this survey, we aim to address this gap by summarizing the attacks on graph data according to the targeted information, categorizing the privacy preservation techniques in GNNs, and reviewing the datasets and applications that could be used for analyzing/solving privacy issues in GNNs. We also outline potential directions for future research in order to build better privacy-preserving GNNs.
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Metadata
- Type
- article
- Language
- en
- Landing Page
- https://doi.org/10.1109/tkde.2024.3454328
- OA Status
- hybrid
- Cited By
- 14
- References
- 212
- Related Works
- 10
- OpenAlex ID
- https://openalex.org/W4402808383
All OpenAlex metadata
Raw OpenAlex JSON
- OpenAlex ID
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https://openalex.org/W4402808383Canonical identifier for this work in OpenAlex
- DOI
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https://doi.org/10.1109/tkde.2024.3454328Digital Object Identifier
- Title
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A Survey on Privacy in Graph Neural Networks: Attacks, Preservation, and ApplicationsWork title
- Type
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articleOpenAlex work type
- Language
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enPrimary language
- Publication year
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2024Year of publication
- Publication date
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2024-09-24Full publication date if available
- Authors
-
Yi Zhang, Yuying Zhao, Zhaoqing Li, Xueqi Cheng, Yu Wang, Olivera Kotevska, Philip S. Yu, Tyler DerrList of authors in order
- Landing page
-
https://doi.org/10.1109/tkde.2024.3454328Publisher landing page
- Open access
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YesWhether a free full text is available
- OA status
-
hybridOpen access status per OpenAlex
- OA URL
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https://doi.org/10.1109/tkde.2024.3454328Direct OA link when available
- Concepts
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Computer science, Information privacy, Artificial neural network, Privacy protection, Graph, Computer security, Theoretical computer science, Artificial intelligenceTop concepts (fields/topics) attached by OpenAlex
- Cited by
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14Total citation count in OpenAlex
- Citations by year (recent)
-
2025: 11, 2024: 3Per-year citation counts (last 5 years)
- References (count)
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212Number of works referenced by this work
- Related works (count)
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10Other works algorithmically related by OpenAlex
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