Publication Details

A Game for Crowdsourcing Adversarial Examples for False Information Detection

ČEGIŇ Ján. A Game for Crowdsourcing Adversarial Examples for False Information Detection. In: CEUR Workshop Proceedings. Vídeň: CEUR-WS.org, 2022, pp. 13-25. ISSN 1613-0073. Available from: https://ceur-ws.org/Vol-3275/paper2.pdf

Czech title

Hra pro Crowdsourcing: Příklady odporu při odhalování falešných informací

Type

conference paper

Language

english

Authors

Čegiň Ján, Ing. (DCGM FIT BUT)

URL

https://ceur-ws.org/Vol-3275/paper2.pdf

Keywords

adversarial data generation, false information detection, game with a purpose, human interaction task, machine learning

Published

2022

Pages

13-25

Journal

CEUR Workshop Proceedings, vol. 2022, no. 2022, ISSN 1613-0073

Proceedings

CEUR Workshop Proceedings

Conference

The 31st International Joint Conference on Artificial Intelligence, Vienna, AT

Publisher

CEUR-WS.org

Place

Vídeň, AT

EID Scopus

2-s2.0-85143356933

BibTeX

@INPROCEEDINGS{FITPUB12734,
   author = "J\'{a}n \v{C}egi\v{n}",
   title = "A Game for Crowdsourcing Adversarial Examples for False Information Detection",
   pages = "13--25",
   booktitle = "CEUR Workshop Proceedings",
   journal = "CEUR Workshop Proceedings",
   volume = 2022,
   number = 2022,
   year = 2022,
   location = "V\'{i}de\v{n}, AT",
   publisher = "CEUR-WS.org",
   ISSN = "1613-0073",
   language = "english",
   url = "https://www.fit.vut.cz/research/publication/12734"
}