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      Differential privacy scheme using Laplace mechanism and statistical method computation in deep neural network for privacy preservation

      , , , , ,
      Engineering Applications of Artificial Intelligence
      Elsevier BV

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          k-ANONYMITY: A MODEL FOR PROTECTING PRIVACY

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            Class Noise vs. Attribute Noise: A Quantitative Study

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              End-to-end privacy preserving deep learning on multi-institutional medical imaging

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                Author and article information

                Journal
                Engineering Applications of Artificial Intelligence
                Engineering Applications of Artificial Intelligence
                Elsevier BV
                09521976
                February 2024
                February 2024
                : 128
                : 107399
                Article
                10.1016/j.engappai.2023.107399
                2818f124-c32b-4fbb-9b7a-56f4c6aa71b4
                © 2024

                https://www.elsevier.com/tdm/userlicense/1.0/

                https://doi.org/10.15223/policy-017

                https://doi.org/10.15223/policy-037

                https://doi.org/10.15223/policy-012

                https://doi.org/10.15223/policy-029

                https://doi.org/10.15223/policy-004

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