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securing social media user data -- 2

Publishing social media 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: Machine Learning (ML), Python, Data Science, Natural Language, Article Writing

About the Client:
( 0 reviews ) Turkey, Turkey

Project ID: #34017466

11 freelancers are bidding on average $91 for this job

CRBW

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7.2
(49 Reviews)
5.3
sodiqa32

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(28 Reviews)
5.7
DivineSolutions1

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(21 Reviews)
5.5
QuickMentor

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(62 Reviews)
4.6
mandionisio154

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(1 Review)
1.5
Carltech1327

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(1 Review)
0.1
deekshithram391

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(0 Reviews)
0.0
hgni1234

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(0 Reviews)
0.0
Akshaygajjar31

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$140 USD in 7 days
(0 Reviews)
0.0
prateik482

CIPP/E Certified and experienced data privacy professional having a demonstrated history of assisting client organizations with data privacy gap assessment focused on assessing operating procedures and pertinent polici More

$140 USD in 7 days
(0 Reviews)
0.0