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securing socilal media user data

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: Python, Machine Learning (ML), Data Science, Natural Language, Report Writing

About the Client:
( 0 reviews ) Turkey, Turkey

Project ID: #34017569

14 freelancers are bidding on average $523 for this job

saminakiran2

Hi Mate! I can assist you with this project related to securing socilal media user data. I am experienced in Data Science, Report Writing, Python, Machine Learning (ML) and Natural Language. I have completed many simil More

$250 USD in 1 day
(441 Reviews)
8.1
crispwriter

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(234 Reviews)
7.2
CRBW

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(247 Reviews)
6.8
maaria1991

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(140 Reviews)
6.1
Koki1216

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(13 Reviews)
6.2
sajjadtaghvaeifr

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(28 Reviews)
5.9
sapnathakur14

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(4 Reviews)
5.1
vorasiddh4it

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$1000 USD in 10 days
(11 Reviews)
4.9
InoovativeThink

securing socilal media user data I am a Professional writer with 3 years of experience. I assure you I will do my upmost best to meet your requirements. I've written over 500 projects in the last 3 months for satisfie More

$250 USD in 1 day
(22 Reviews)
4.0
solonenkooleksa4

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$1125 USD in 7 days
(4 Reviews)
3.8
juhonkang

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(4 Reviews)
3.8
(10 Reviews)
3.4
mandionisio154

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(1 Review)
1.5
datasclancer

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$400 USD in 12 days
(0 Reviews)
0.0