Differential Privacy with Data Removal for Online Happiness Assessment
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Publisher
Springer Nature Singapore
Link
https://link.springer.com/content/pdf/10.1007/978-981-97-7241-4_11
Reference27 articles.
1. Zhang, T.W.: Relationship between income level, income gap and subjective happiness: empirical analysis based on CGSS data of six provinces in 2017. Areal Res. Dev. 40(6), 31–36 (2021). https://doi.org/10.3969/j.issn.1003-2363.2021.03.00
2. Shi, Y.W., Chen, T.Z., Du, J.: The application of EMA method in mental and psychological digital medicine. Chin. J. Nerv. Ment. Dis. 49(8), 503–508 (2023). https://doi.org/10.3969/j.issn.1002-0152.2023.08.010
3. Xu, H., Zhu, T.Q., Zhang, L.F., et al.: Machine unlearning: a survey. ACM Comput. Surv. 56(1), 1–36 (2023)
4. Dwork, C.: Differential Privacy. In: Bugliesi, M., Preneel, B., Sassone, V., Wegener, I. (eds.) Proceedings of the International colloquium on automata, languages, and programming, vol. 4052, pp. 1–12. Springer, Heidelberg (2006). https://doi.org/10.1007/11787006_1
5. Garaigordobil, M.: Predictor variables of happiness and its connection with risk and protective factors for health. Front. Psychol. 6, 133172 (2015). https://doi.org/10.3389/fpsyg.2015.01176
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