Securing Social Media User Data - An Adversarial Approach -- 3

Social media users generate tremendous amounts of data. To better

serve users, it is required to share the user-related data among researchers, advertisers and application developers. Publishing such

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 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.

Skills: Python, Machine Learning (ML), Natural Language, Database Development, Data Science

About the Client:
( 0 reviews ) Turkey, Turkey

Project ID: #32156494

4 freelancers are bidding on average $140 for this job


hello I devour your demand that you’re viewing Securing Social Media User Data - An Adversarial Approach I provide creative, proactive and high-tech solutions to your development needs. I have solid experience in HTM More

$30 USD in 1 day
(17 Reviews)

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 More

$250 USD in 7 days
(13 Reviews)

Hi there, I am a talented python dev, and I suppose I can handle this task successfully. Please let me know more details, and Please give me your chance. I look forward to hearing from you. More

$139 USD in 7 days
(3 Reviews)

Hi, I have +5 years of experience dealing with machine learning algorithms and worked on multiple projects in this field, Please contact me to discuss more. Have a nice day

$140 USD in 7 days
(5 Reviews)