📄Privacy issues in social networks and analysis: a comprehensive survey

📘Journal: IET NETWORKS

🗓Publish year: 2018

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#paper #Privacy #survey

📄Applications of Differential Privacy in Social Network Analysis: A Survey

📘Journal: IEEE Transactions on Knowledge and Data Engineering (I.F=9.235)
🗓Publish year: 2021

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#paper #Applications #Differential #Privacy #survey

📄A Survey on Privacy in Graph Neural Networks: Attacks, Preservation, and Applications

🗓Publish year: 2023

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#paper #Privacy #Graph_Neural_Network #Attacks #Preservation #Applications #Survey

📄Privacy-Preserving Graph Machine Learning from Data to Computation: A Survey

🗓Publish year: 2023

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📃 A Survey of Graph Neural Networks in Real world: Imbalance, Noise, Privacy and OOD Challenges

🗓 Publish year: 2024

🧑‍💻Authors: Wei Ju, Siyu Yi, Yifan Wang, Zhiping Xiao, Zhengyang Mao, Hourun Li, Yiyang Gu, Yifang Qin, Nan Yin, Senzhang Wang, Xinwang Liu, Xiao Luo, Philip S. Yu, Ming Zhang

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📃Graph neural networks: a survey on the links between privacy and security

🗓 Publish year: 2024
📘Journal: Artificial Intelligence Review (I.F=10.7)

🧑‍💻Authors: Faqian Guan, Tianqing Zhu, Wanlei Zhou & Kim-Kwang Raymond Choo
🏢University: China University of Geosciences,
University of Technology Sydney,
City University of Macau, Taipei, Macau,
niversity of Texas at San Antonio, San Antonio, TX, 78249-0631, USA

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