Securing Social Media User info- An Adversarial Approach - -- 6

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

Aptitudini: Python, Article Writing, Machine Learning (ML), Limbaj natural, Deep Learning

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Despre angajator:
( 0 recenzii ) Istanbul, Turkey

ID Proiect: #30876738

5 freelanceri licitează în medie 146$ pentru acest proiect


Hi, I hope you are doing fine. I have almost 10 years of experience in machine learning algorithms. I can implement various types of artificial intelligence algorithms including yours with Matlab, Python and etc. I hav Mai multe

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HI I am experienced in Article Writing Machine Learning (ML) Natural Language etc I can start right now but i have few doubts and questions lets have a quick chat and get it started waiting for your reply

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I have 11 years of experience in C/Machine language/Matlab/Python, Algorithm Simulation programming, software Architecture, Deep Learning, Artificial Intelligence, and Django I am sure I can do it. You will get the bes Mai multe

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*****+919792979142****** Hi. I am a data scientist. I am very familiar to Deep learning apis such as Tensorflow and fastai, mxnet. I have a good hands on working with Advanced R and Python and BI tools and technologies Mai multe

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Hi, Dear I am a seasoned Data Scientist, Researcher and Academician having my own small Analytics start-up InstaDataHelp Analytics Services ( [login to view URL] ). You can find the details in the my Linkedin Profile Mai multe

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