Dongxia Wang
Is It Harmful when Advisors Only Pretend to Be Honest?
Wang, Dongxia; Muller, Tim; Zhang, Jie; liu, Yang
Citation
Wang, D., Muller, T., Zhang, J., & liu, Y. (2016). Is It Harmful when Advisors Only Pretend to Be Honest?. In AAAI'16: Proceedings of the Thirtieth AAAI Conference on Artificial Intelligence. , (2551--2557)
Start Date | Feb 12, 2016 |
---|---|
End Date | Feb 17, 2017 |
Acceptance Date | Nov 12, 2015 |
Publication Date | 2016 |
Deposit Date | Jan 13, 2020 |
Pages | 2551--2557 |
Series Title | AAAI'16 |
Book Title | AAAI'16: Proceedings of the Thirtieth AAAI Conference on Artificial Intelligence |
Public URL | https://nottingham-repository.worktribe.com/output/2141901 |
Publisher URL | http://dl.acm.org/citation.cfm?id=3016100.3016257 |
You might also like
Quantifying robustness of trust systems against collusive unfair rating attacks using information theory
(2015)
Presentation / Conference Contribution
The Fallacy of Endogenous Discounting of Trust Recommendations
(2015)
Presentation / Conference Contribution
Information Theoretical Analysis of Unfair Rating Attacks under Subjectivity
(2019)
Journal Article
The Reputation Lag Attack
(2019)
Presentation / Conference Contribution
Provably Robust Decisions based on Potentially Malicious Sources of Information
(2020)
Presentation / Conference Contribution
Downloadable Citations
About Repository@Nottingham
Administrator e-mail: discovery-access-systems@nottingham.ac.uk
This application uses the following open-source libraries:
SheetJS Community Edition
Apache License Version 2.0 (http://www.apache.org/licenses/)
PDF.js
Apache License Version 2.0 (http://www.apache.org/licenses/)
Font Awesome
SIL OFL 1.1 (http://scripts.sil.org/OFL)
MIT License (http://opensource.org/licenses/mit-license.html)
CC BY 3.0 ( http://creativecommons.org/licenses/by/3.0/)
Powered by Worktribe © 2024
Advanced Search