Analysis of the impact of poisoned data within Twitter classification models

vastutusandmed
Kristopher R. Price, Jaan Priisalu, Sven Nomm
ajakirja aastakäik number kuu
vol. 52, 19
ilmumisaasta
leheküljed
p. 175-180
võtmesõna
social-engineering
data-science
adversarial machine-learning
ISSN
2405-8963
märkused
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 struktuuriüksus
keel
inglise
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.