Preserving data privacy in machine learning systems-Reference-Cited by-同舟云学术

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Preserving data privacy in machine learning systems

Published:2024-02 Issue: Volume:137 Page:103605
ISSN:0167-4048
Container-title:Computers & Security
language:en
Short-container-title:Computers & Security

Author:

El Mestari Soumia Zohra^ORCID,Lenzini Gabriele^ORCID,Demirci Huseyin

Funder

European Commission

Publisher

Elsevier BV

Subject

Law,General Computer Science

Reference244 articles.

1. Deep learning with differential privacy;Abadi,2016

2. Decentralizing inner-product functional encryption;Abdalla,2019

3. Simple functional encryption schemes for inner products;Abdalla,2015

4. Multi-input functional encryption for inner products: function-hiding realizations and constructions without pairings;Abdalla,2018

5. Fame: fast attribute-based message encryption;Agrawal,2017

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2. Towards sustainable industry 4.0: A survey on greening IoE in 6G networks;Ad Hoc Networks;2024-12

3. Enhancing protection in high-dimensional data: Distributed differential privacy with feature selection;Information Processing & Management;2024-11

4. Unveiling vulnerabilities in deep learning-based malware detection: Differential privacy driven adversarial attacks;Computers & Security;2024-11

5. Enhancing road safety with machine learning: Current advances and future directions in accident prediction using non-visual data;Engineering Applications of Artificial Intelligence;2024-11

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