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Analysis of the impact of poisoned data within Twitter classification models

author
Price, Christopher
Piirsalu, Jaan
Nõmm, Sven
statement of authorship
Kristopher R. Price, Jaan Priisalu, Sven Nomm
source
IFAC-PapersOnLine
journal volume number month
vol. 52, 19
year of publication
2019
pages
p. 175-180
url
https://doi.org/10.1016/j.ifacol.2019.12.170
subject term
võrgusuhtlus
sotsiaalsed võrgustikud
sotsiaalmeedia
tarkvaratehnika
infoturve
andmetöötlus
Twitter (veebisait)
keyword
automation
social-media
social-engineering
data-science
adversarial machine-learning
ISSN
2405-8963
notes
Special issue: 14th IFAC Symposium on Analysis, Design, and Evaluation of Human Machine Systems HMS 2019: Tallinn, Estonia, 16–91 September 2019
Bibliogr. p. 179
TTÜ department
tarkvarateaduse instituut
language
inglise
Uurimisrühm
Centre for digital forensics and cyber security
High-assurance software laboratory
Price, C., Piirsalu, J., Nõmm, S. Analysis of the impact of poisoned data within Twitter classification models // IFAC-PapersOnLine (2019) vol. 52, 19, p. 175-180. https://doi.org/10.1016/j.ifacol.2019.12.170