Securing Social Media User info- An Adversarial Approach -
Budget: $30 – $250 USD
My name is Mohamed Abdullahi Hussein :
i am looking any who can solve this project
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
Datasets: Twitter dataset (Twitter API ) and Foursquare dataset for user location
Code : Python
i am looking any who can solve this project
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
Datasets: Twitter dataset (Twitter API ) and Foursquare dataset for user location
Code : Python