Adversarial attacks on crowdsourcing quality control

Checco, A. orcid.org/0000-0002-0981-3409, Bates, J. and Demartini, G. (2020) Adversarial attacks on crowdsourcing quality control. Journal of Artificial Intelligence Research, 67 (2020). pp. 375-408. ISSN 1076-9757

Abstract

Metadata

Item Type: Article
Authors/Creators:
Copyright, Publisher and Additional Information:

© 2020 AI Access Foundation. Reproduced in accordance with the publisher's self-archiving policy.

Dates:
  • Published: 3 March 2020
  • Published (online): 3 March 2020
  • Accepted: 26 December 2019
Institution: The University of Sheffield
Academic Units: The University of Sheffield > Faculty of Social Sciences (Sheffield) > Information School (Sheffield)
Funding Information:
Funder
Grant number
European Commission - Horizon 2020
732328
Depositing User: Symplectic Sheffield
Date Deposited: 15 Jan 2020 15:53
Last Modified: 26 May 2020 08:32
Status: Published
Publisher: AI Access Foundation
Refereed: Yes
Identification Number: 10.1613/jair.1.11332
Related URLs:
Open Archives Initiative ID (OAI ID):

Export

Statistics