Securing Social Media User Data - An Adversarial Approach
Budget: $30 – $250 USD
Name: Mohamed Abdullahi i doing masters of Computer Engineering: the project i am doing is ( Securing Social Media User Data - An Adversarial Approach) :
To encourage data sharing and mitigate user privacy concerns, a number of anonymization and deanonymization 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
To encourage data sharing and mitigate user privacy concerns, a number of anonymization and deanonymization 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