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Analysis of the impact of poisoned data within Twitter classification models

author
statement of authorship
Kristopher R. Price, Jaan Priisalu, Sven Nomm
source
journal volume number month
vol. 52, 19
year of publication
pages
p. 175-180
url
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
language
inglise
Reserch Group
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