Full Text Available

Note: Clicking the button above will open the full text document at the original institutional repository in a new window.

Machine Unlearning for Class Removal through SISA-based Deep Neural Network Architectures

Saved in:
Bibliographic Details
Published in:ArXiv cs.CR Recent Papers
Format: Online Article RSS Article
Published: 2026
Subjects:
Tags: Add Tag
No Tags, Be the first to tag this record!
_version_ 1864130790382632960
collection WordPress RSS
FRELIP Feed Integration
container_title ArXiv cs.CR Recent Papers
description
discipline_display Engineering & Technology
discipline_facet Engineering & Technology
format Online Article
RSS Article
genre Journal Article
id rss_article:48838
institution FRELIP
journal_source_facet ArXiv cs.CR Recent Papers
publishDate 2026
publishDateSort 2026
record_format rss_article
spellingShingle Machine Unlearning for Class Removal through SISA-based Deep Neural Network Architectures
ArXiv cs.CR Recent Papers
Civil & Construction
Engineering & Technology
sub_discipline_display Civil & Construction
sub_discipline_facet Civil & Construction
subject_display ArXiv cs.CR Recent Papers
Civil & Construction
Engineering & Technology
ArXiv cs.CR Recent Papers
Civil & Construction
Engineering & Technology
subject_facet ArXiv cs.CR Recent Papers
Civil & Construction
Engineering & Technology
title Machine Unlearning for Class Removal through SISA-based Deep Neural Network Architectures
title_auth Machine Unlearning for Class Removal through SISA-based Deep Neural Network Architectures
title_full Machine Unlearning for Class Removal through SISA-based Deep Neural Network Architectures
title_fullStr Machine Unlearning for Class Removal through SISA-based Deep Neural Network Architectures
title_full_unstemmed Machine Unlearning for Class Removal through SISA-based Deep Neural Network Architectures
title_short Machine Unlearning for Class Removal through SISA-based Deep Neural Network Architectures
title_sort machine unlearning for class removal through sisa-based deep neural network architectures
topic ArXiv cs.CR Recent Papers
Civil & Construction
Engineering & Technology
url https://arxiv.org/abs/2604.27804v1