Re-Identification in Differentially Private Incomplete Datasets

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Sei, Yuichi, et al. “Re-Identification in Differentially Private Incomplete Datasets”. IEEE Open Journal of the Computer Society, vol. 3, 2022, pp. 62-72, https://doi.org/10.1109/ojcs.2022.3175999.
Sei, Y., Okumura, H., & Ohsuga, A. (2022). Re-Identification in Differentially Private Incomplete Datasets. IEEE Open Journal of the Computer Society, 3, 62-72. https://doi.org/10.1109/ojcs.2022.3175999
Sei Y, Okumura H, Ohsuga A. Re-Identification in Differentially Private Incomplete Datasets. IEEE Open Journal of the Computer Society. 2022;3:62-7.
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Refrences
Title Journal Journal Categories Citations Publication Date
Extremal mechanisms for local differential privacy 2016
Socio-demographic risk factors of COVID-19 deaths in Sweden: A nationwide register study 2020
Locally differentially private protocols for frequency estimation
{Utility-optimized} Local differential privacy mechanisms for distribution estimation
Local differential privacy for sampling