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User Identity De-anonymization Based on Attributes
2019Online social networks provide platforms for people to interact with each other and share moments of their daily life. The online social network data are valuable for both academic and business studies, and are usually processed by anonymization methods before being published to third parties.
Cheng Zhang 0018 +5 more
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DaRAV: A Tool for Visualizing De-Anonymization Risks
2023 IEEE 39th International Conference on Data Engineering (ICDE), 2023Emmanouil Adamakis +5 more
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Data anonymization evaluation for big data and IoT environment
Information Sciences, 2022Shancang Li, Geyong Min
exaly
Anonymization Techniques for Privacy Preserving Data Publishing: A Comprehensive Survey
IEEE Access, 2021Abdul Majeed, Sungchang Lee
exaly
Data Anonymization: An Experimental Evaluation Using Open-Source Tools
Future Internet, 2022Jorge Bernardino
exaly
Implications of Data Anonymization on the Statistical Evidence of Disparity
Management Science, 2022Heng Xu, Nan Zhang
exaly
Classification utility aware data stream anonymization
Applied Soft Computing Journal, 2021Uğur Sopaoglu, Osman Abul
exaly
Improved l-diversity: Scalable anonymization approach for Privacy Preserving Big Data Publishing
Journal of King Saud University - Computer and Information Sciences, 2022Brijesh B Mehta, Udai Pratap Rao
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