Securing social media user data -- 3

Publishing Social media users 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 anew 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