Full Text Available

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

Paper 4: Privacy Leakage and Memorization in Fine-Tuned Clinical Language Models: A Controlled Study of Defenses and Backbone Choice on Clinical Narrative Transcriptions

Saved in:
Bibliographic Details
Published in:International Journal of Advanced Computer Science and Applications
Format: Online Article RSS Article
Published: 2026
Subjects:
Tags: Add Tag
No Tags, Be the first to tag this record!
_version_ 1869482262396928000
collection WordPress RSS
FRELIP Feed Integration
container_title International Journal of Advanced Computer Science and Applications
description
discipline_display Computer Science
discipline_facet Computer Science
format Online Article
RSS Article
genre Journal Article
id rss_article:97986
institution FRELIP
journal_source_facet International Journal of Advanced Computer Science and Applications
last_indexed 2026-07-01T03:40:18.535Z
publishDate 2026
publishDateSort 2026
record_format rss_article
spellingShingle Paper 4: Privacy Leakage and Memorization in Fine-Tuned Clinical Language Models: A Controlled Study of Defenses and Backbone Choice on Clinical Narrative Transcriptions
Computer Science
General
Computer Science
sub_discipline_display General
sub_discipline_facet General
subject_display Computer Science
General
Computer Science
subject_facet Computer Science
General
Computer Science
title Paper 4: Privacy Leakage and Memorization in Fine-Tuned Clinical Language Models: A Controlled Study of Defenses and Backbone Choice on Clinical Narrative Transcriptions
title_alt Artículo 4: Fuga de Privacidad y Memorización en Modelos de Lenguaje Clínico Ajustados: Un Estudio Controlado de Defensas y Elección de Columna Vertebral en Transcripciones de Narrativas Clínicas
Article 4 : Fuite de confidentialité et mémorisation dans les modèles de langage cliniques affinés : une étude contrôlée des défenses et du choix du backbone sur des transcriptions narratives cliniques
Artigo 4: Vazamento de Privacidade e Memorização em Modelos de Linguagem Clínicos Ajustados: Um Estudo Controlado de Defesas e Escolha de Backbone em Transcrições de Narrativas Clínicas
title_auth Paper 4: Privacy Leakage and Memorization in Fine-Tuned Clinical Language Models: A Controlled Study of Defenses and Backbone Choice on Clinical Narrative Transcriptions
title_es_txt Artículo 4: Fuga de Privacidad y Memorización en Modelos de Lenguaje Clínico Ajustados: Un Estudio Controlado de Defensas y Elección de Columna Vertebral en Transcripciones de Narrativas Clínicas
title_fr_txt Article 4 : Fuite de confidentialité et mémorisation dans les modèles de langage cliniques affinés : une étude contrôlée des défenses et du choix du backbone sur des transcriptions narratives cliniques
title_full Paper 4: Privacy Leakage and Memorization in Fine-Tuned Clinical Language Models: A Controlled Study of Defenses and Backbone Choice on Clinical Narrative Transcriptions
title_fullStr Paper 4: Privacy Leakage and Memorization in Fine-Tuned Clinical Language Models: A Controlled Study of Defenses and Backbone Choice on Clinical Narrative Transcriptions
title_full_unstemmed Paper 4: Privacy Leakage and Memorization in Fine-Tuned Clinical Language Models: A Controlled Study of Defenses and Backbone Choice on Clinical Narrative Transcriptions
title_pt_txt Artigo 4: Vazamento de Privacidade e Memorização em Modelos de Linguagem Clínicos Ajustados: Um Estudo Controlado de Defesas e Escolha de Backbone em Transcrições de Narrativas Clínicas
title_short Paper 4: Privacy Leakage and Memorization in Fine-Tuned Clinical Language Models: A Controlled Study of Defenses and Backbone Choice on Clinical Narrative Transcriptions
title_sort paper 4: privacy leakage and memorization in fine-tuned clinical language models: a controlled study of defenses and backbone choice on clinical narrative transcriptions
topic Computer Science
General
Computer Science
url http://thesai.org/Downloads/Volume17No6/Paper_4-Privacy_Leakage_and_Memorization_in_Fine_Tuned_Clinical_Language.pdf