securing social media user data -- 2

Publishing social media data would raise more concerns on user privacy. To encourage data sharing and mitigate user privacy concerns, a number of anonymization and de-anonymization algorithms have been developed to help protect privacy of social media users. In this work, we propose a new adversarial attack specialized for social media data. We further

provide a principled way to assess effectiveness of anonymizing different aspects of social media data. Our work sheds light on new privacy risks in social media data due to innate heterogeneity of user-generated data which require striking balance between sharing user data and protecting user privacy.

Beceriler: Machine Learning (ML), Python, Veri Bilimi, Doğal Dil, Article Writing

Müşteri Hakkında:
( 0 değerlendirme ) Turkey, Turkey

Proje NO: #34017466

Bu iş için 11 freelancer ortalamada $91 teklif veriyor


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