Results

eNauka >  Results >  GuardianML: Anatomy of Privacy-Preserving Machine Learning Techniques and Frameworks
Title: GuardianML: Anatomy of Privacy-Preserving Machine Learning Techniques and Frameworks
Authors: Njungle, Nges Brian; Jahns, Eric; Wu, Zhenqi; Mastromauro, Luigi; Stojkov, Milan; Kinsy, Michel A
Issue Date: 2025
Publication: IEEE ACCESS
ISSN: 2169-3536 IEEE Access Search Idenfier
Type: Article
Collation: vol. 13 str. 61483-61510
DOI: 10.1109/ACCESS.2025.3557228
WoS-ID: 001464984900035
Scopus-ID: 2-s2.0-105003088756
URI: https://enauka.gov.rs/handle/123456789/979954
Metadata source: (Preuzeto iz Nasi u WoS)
M-category: 
21M21

6
SCOPUSTM
4
WEB OF SCIENCETM
Altmetric
Dimensions
Unpaywall

Items in eNauka are protected by copyright, with all rights reserved, unless otherwise indicated.