Robust Truth Inference in Crowdsourcing under Adversarial Attacks via Graph Neural Networks
Crowdsourcing is widely used to obtain labeled data for machine learning, but the openness of these platforms makes label quality vulnerable to noise and adversarial manipulation. Coordinated behaviors such as collusion and Sybil-style participation can create a consistent yet incorrect consensus,...
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| Glavni autori: | , , |
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| Format: | Artigo |
| Jezik: | Inglês |
| Izdano: |
IJMADA
2026-03-01
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| Serija: | International Journal of Management and Data Analytics |
| Teme: | |
| Online pristup: | https://ijmada.com/index.php/ijmada/article/view/127 |
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