Analysis of the impact of poisoned data within Twitter classification models
author
Price, Christopher
Nõmm, Sven
Priisalu, Jaan
statement of authorship
Christopher Price, Sven Nõmm, Jaan Priisalu
source
Proceedings of the 5th interdisciplinary cyber research conference 2019 : 29th of June 2019, Tallinn University of Technology [Online resource]
location of publication
Tallinn
publisher
Tallinn University of Technology, Department of Software Science
year of publication
2019
pages
p. 53-57
conference name, date
ICR2019 : 5th Interdisciplinary Cyber Research conference, 29th of June 2019, Tallinn University of Technology
conference location
Tallinn University of Technology
url
https://doi.org/10.1016/j.ifacol.2019.12.170
https://www.ester.ee/record=b5238490*est
subject term
sotsiaalmeedia
Twitter (veebisait)
võrgusuhtlus
sotsiaalsed võrgustikud
valeuudised
kommentaarid
Scopus
https://www.scopus.com/sourceid/21100456158
https://www.scopus.com/record/display.uri?eid=2-s2.0-85079674560&origin=inward&txGid=ebe398de783eb11a80c654a7b1eae81f
WOS
https://www.webofscience.com/wos/woscc/full-record/WOS:000504294500031
quartile
Q3
category (general)
Engineering
Tehnika
category (sub)
Engineering. Control and systems engineering
Tehnika. Juhtimis- ja süsteemitehnika
keyword
adversarial machine learning
social-media
bots
fake news
ISBN
978-9949-548-15-4
notes
Bibliogr.: 8 ref
Open Access
Open Access
scientific publication
teaduspublikatsioon
classifier
3.1
TalTech department
tarkvarateaduse instituut
language
eesti