Review
Version 1
Preserved in Portico This version is not peer-reviewed
A Review of XAI Failures and Works on Its Influence on Security
Version 1
: Received: 5 July 2024 / Approved: 9 July 2024 / Online: 9 July 2024 (12:18:09 CEST)
How to cite: Banerjee, I. A Review of XAI Failures and Works on Its Influence on Security. Preprints 2024, 2024070754. https://doi.org/10.20944/preprints202407.0754.v1 Banerjee, I. A Review of XAI Failures and Works on Its Influence on Security. Preprints 2024, 2024070754. https://doi.org/10.20944/preprints202407.0754.v1
Abstract
The importance of XAI is undeniable in the current scenario and thus it's importance in considerable. Unfortunately, there are a couple of scenarios where the current XAI models fail. Additionally, attackers seek vulnerabilities in these models. This review paper is intended to cover some of the important scenarios where the existing XAI models may fail and some progresses made which shows their vulnerabilities and how to secure them.
Keywords
explainable AI; machine learning; neural networks; cycbersecurity
Subject
Computer Science and Mathematics, Artificial Intelligence and Machine Learning
Copyright: This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
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