Published on 13.11.12 in Vol 1, No 2 (2012): Jul-Dec
Works citing "An Approach to Reducing Information Loss and Achieving Diversity of Sensitive Attributes in k-anonymity Methods"
According to Crossref, the following articles are citing this article (DOI 10.2196/ijmr.2140):
(note that this is only a small subset of citations)
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Somolinos R, Munoz A, Hernando ME, Pascual M, Caceres J, Sanchez-de-Madariaga R, Fragua JA, Serrano P, Salvador CH. Service for the Pseudonymization of Electronic Healthcare Records Based on ISO/EN 13606 for the Secondary Use of Information. IEEE Journal of Biomedical and Health Informatics 2015;19(6):1937
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Arellano AM, Dai W, Wang S, Jiang X, Ohno-Machado L. Privacy Policy and Technology in Biomedical Data Science. Annual Review of Biomedical Data Science 2018;1(1):115
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Erdemir E, Dragotti PL, Gunduz D. Privacy-Aware Time-Series Data Sharing With Deep Reinforcement Learning. IEEE Transactions on Information Forensics and Security 2021;16:389
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Sepas A, Bangash AH, Alraoui O, El Emam K, El-Hussuna A. Algorithms to anonymize structured medical and healthcare data: A systematic review. Frontiers in Bioinformatics 2022;2
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Erdemir E, Dragotti PL, Gündüz D. Active Privacy-Utility Trade-Off Against Inference in Time-Series Data Sharing. IEEE Journal on Selected Areas in Information Theory 2023;4:159
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