securing social media users information

my name is Mohamad my project is about: 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. 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. We introduce a new generation of adversarial attacks applicable to social media network data. • We propose a novel de-anonymization technique Athd to assess the privacy level of anonymized heterogeneous social media data. • We implement and evaluate Athd on two real world datasets to study the strengths of anonymization techniques in context of heterogeneous social media data. Our results demonstrates hidden relations between different aspects of the heterogeneous data make data anonymization techniques inefficient