Закрыт

Securing Social Media User Data - An Adversarial Approach -- 4

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.

Навыки: Python, Machine Learning (ML), Анализ и обработка данных, Естественный язык, Article Writing

О клиенте:
( 0 отзыв(-а, -ов) ) Turkey, Turkey

ID проекта: #32268083

5 фрилансеров(-а) готовы выполнить эту работу в среднем за $68

revival786

Greetings! I am a professional in providing high quality social media services. I stand in the top 4% freelancers. I am highly interested in your project. Please contact me so I may share my previous work. Thanks, Re Больше

$30 USD за 3 дней(-я)
(342 отзывов(-а))
7.5
(77 отзывов(-а))
6.8
(94 отзывов(-а))
5.3
ExpertLive

"Securing Social Media User Data - An Adversarial Approach -- 4" I have Master degree with 5 years of writing experience and I can manage thousands of words with "Premium Quality" on daily basis, I will provide you T Больше

$30 USD за 1 день
(16 отзывов(-а))
3.9
QuickMentor

Grettings! I am existing after reading your project details about"Securing Social Media User Data - An Adversarial Approach -- 4" I have completed MPhil in business administration and I have about 4 year experienc Больше

$30 USD за 1 день
(29 отзывов(-а))
3.9