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Improving Paid Microtasks through Gamification and Adaptive Furtherance Incentives.

, , , и . WWW, стр. 333-343. ACM, (2015)

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Improving Paid Microtasks through Gamification and Adaptive Furtherance Incentives., , , и . WWW, стр. 333-343. ACM, (2015)TEM: High Utility Metric Differential Privacy on Text., , , и . SDM, стр. 883-890. SIAM, (2023)Calibrating Mechanisms for Privacy Preserving Text Analysis., , , и . PrivateNLP@WSDM, том 2573 из CEUR Workshop Proceedings, стр. 8-11. CEUR-WS.org, (2020)Research Challenges in Designing Differentially Private Text Generation Mechanisms., , , и . FLAIRS, (2021)Workshop on Privacy in NLP (PrivateNLP 2020)., , и . WSDM, стр. 903-904. ACM, (2020)Beyond Monetary Incentives: Experiments in Paid Microtask Contests., и . ACM Trans. Soc. Comput., 2 (2): 6:1-6:31 (2019)Density-Aware Differentially Private Textual Perturbations Using Truncated Gumbel Noise., , , , и . FLAIRS, (2021)Leveraging Hierarchical Representations for Preserving Privacy and Utility in Text., , и . ICDM, стр. 210-219. IEEE, (2019)Quick-and-clean extraction of linked data entities from microblogs., , , , и . SEMANTiCS, стр. 5-12. ACM, (2014)Research Challenges in Designing Differentially Private Text Generation Mechanisms., , , и . CoRR, (2020)