Nov 3, 2022 · In this survey, we introduce the procedure of how to build an explainable method and two general types of various explainable ML methods ...
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Nov 3, 2022 · In this paper, we present the topic of explainable ML in cybersecurity through two general types of explanations: (1) ante hoc explanation, and (2) post hoc ...
Explainable models help ML developers solve the “trust” problem for security application predictions by validating model behaviours, diagnosing ...
Sep 5, 2022 · This study presents an in-depth examination of the application of XAI in CyberSecurity. It considers more than 300 papers to comprehensively analyze the main ...
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Mar 7, 2023 · In this survey, we review the state of the art in XAI for cybersecurity in network systems and explore the various approaches that have been ...
Oct 22, 2024 · This study presents an in-depth examination of the application of XAI in Cybersecurity. It considers more than 300 papers to comprehensively analyze the main ...
Beyond explainability, accuracy and performance must also be guaranteed in AI models used for cybersecurity. Training datasets play a crucial role in any ...
Oct 26, 2022 · Researchers suggest that AI explainability could help in selecting ideal anonymization techniques for ML algorithms, as comprehending the ML ...
Mar 7, 2023 · The survey explores the methods and approaches that are relevant in applying explainability in cybersecurity applications. Then, it analyzes ...
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This study considers more than 300 papers to comprehensively analyze the main CyberSecurity application fields, like Intrusion Detection Systems, ...