Siva Sai
Machine Un-learning: An Overview of Techniques, Applications, and Future Directions
Sai, Siva; Mittal, Uday; Chamola, Vinay; Huang, Kaizhu; Spinelli, Indro; Scardapane, Simone; Tan, Zhiyuan; Hussain, Amir
Authors
Uday Mittal
Vinay Chamola
Kaizhu Huang
Indro Spinelli
Simone Scardapane
Dr Thomas Tan Z.Tan@napier.ac.uk
Associate Professor
Prof Amir Hussain A.Hussain@napier.ac.uk
Professor
Abstract
ML applications proliferate across various sectors. Large internet firms employ ML to train intelligent models using vast datasets, including sensitive user information. However, new regulations like GDPR require data removal by businesses. Deleting data from ML models is more complex than databases. Machine Un-learning (MUL), an emerging field, garners academic interest for selectively erasing learned data from ML models. MUL benefits multiple disciplines, enhancing privacy, security, usability, and accuracy. This article reviews MUL’s significance, providing a taxonomy and summarizing key MUL algorithms. We categorize modern MUL models by criteria, including model independence, data driven, and implementation considerations. We explore MUL applications in smart devices and recommendation systems. We also identify open questions and future research areas. This work advances methods for implementing regulations like GDPR and safeguarding user privacy.
Journal Article Type | Article |
---|---|
Acceptance Date | Oct 23, 2023 |
Online Publication Date | Nov 4, 2023 |
Publication Date | 2024 |
Deposit Date | Nov 10, 2023 |
Journal | Cognitive Computation |
Print ISSN | 1866-9956 |
Electronic ISSN | 1866-9964 |
Publisher | Springer |
Peer Reviewed | Peer Reviewed |
Volume | 16 |
Pages | 482-506 |
DOI | https://doi.org/10.1007/s12559-023-10219-3 |
Keywords | Machine unlearning, Privacy, GDPR, Data deletion |
Public URL | http://researchrepository.napier.ac.uk/Output/3373715 |
You might also like
Improving cloud network security using the Tree-Rule firewall
(2013)
Journal Article
RePIDS: A multi tier Real-time Payload-based Intrusion Detection System
(2012)
Journal Article
A System for Denial-of-Service Attack Detection Based on Multivariate Correlation Analysis
(2014)
Journal Article
A Novel Feature Selection Approach for Intrusion Detection Data Classification
(2014)
Presentation / Conference Contribution
Intrusion detection method based on nonlinear correlation measure
(2014)
Journal Article
Downloadable Citations
About Edinburgh Napier Research Repository
Administrator e-mail: repository@napier.ac.uk
This application uses the following open-source libraries:
SheetJS Community Edition
Apache License Version 2.0 (http://www.apache.org/licenses/)
PDF.js
Apache License Version 2.0 (http://www.apache.org/licenses/)
Font Awesome
SIL OFL 1.1 (http://scripts.sil.org/OFL)
MIT License (http://opensource.org/licenses/mit-license.html)
CC BY 3.0 ( http://creativecommons.org/licenses/by/3.0/)
Powered by Worktribe © 2024
Advanced Search