Journal article

SECURITY AND PRIVACY IN EXPLAINABLE AI: A BIBLIOMETRIC ANALYSIS OF EMERGING LEAKAGE RISKS

Matos, Mafalda , Dias Lousã, Mário Jorge , José C. Morais

ISLA — Instituto Politécnico de Gestão e Tecnologia

Explainable Artificial Intelligence (XAI) has gained increasing attention as a means of improving the transparency and trustworthiness of machine learning algorithms, particularly in domains where security and privacy concerns are relevant. This study pre, 2026

DOI: 10.58086/r7pn-1f89 Handle: http://hdl.handle.net/10400.26/61319

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Abstract

Abstract not provided by the author or the indexing source.

Keywords

#Explainable Artificial Intelligence #Bibliometric analysis #Cybersecurity #Infor-mation Leakage #Machine Learning #Data Science #Privacy-Preserving ML.

Bibliographic Details

Publication Type Journal article

Publication Year 2026

Journal / Conference / Work Explainable Artificial Intelligence (XAI) has gained increasing attention as a means of improving the transparency and trustworthiness of machine learning algorithms, particularly in domains where security and privacy concerns are relevant. This study pre

ISSN 0874-8799

ISLA Authors & Affiliations

José Carlos Pereira de Morais

jcpmorais@gmail.com ID: D412-2DF0-6747

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