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

  • Published:2024-02 Issue: Volume:128 Page:107399
  • ISSN:0952-1976
  • Container-title:Engineering Applications of Artificial Intelligence
  • language:en
  • Short-container-title:Engineering Applications of Artificial Intelligence

Author:

Sathish Kumar G.,Premalatha K.,Uma Maheshwari G.,Rajesh Kanna P.,Vijaya G.,Nivaashini M.

Publisher

Elsevier BV

Subject

Electrical and Electronic Engineering,Artificial Intelligence,Control and Systems Engineering

Reference53 articles.

1. Privacy-preserving machine learning: threats and solutions;Al-Rubaie;IEEE Security & Privacy,2019

2. Privacy-preserving deep learning algorithm for big personal data analysis;Alguliyev;Journal of Industrial Information Integration,2019

3. Achieving security and privacy in federated learning systems: survey, research challenges and future directions;Blanco-Justicia;Eng. Appl. Artif. Intell.,2021

4. Privacy-preserving classification on deep neural network;Chabanne;Proceedings of the Conference on Real World Cryptography,2017

5. TPRPF: a preserving framework of privacy relations based on adversarial training for texts in big data;Chai;Front. Comput. Sci.,2022

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