Titlebook: Explainable AI for Cybersecurity; Zhixin Pan,Prabhat Mishra Book 2023 The Editor(s) (if applicable) and The Author(s), under exclusive lic

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Mary M. Eshaghian-Wilner,Lili Haicifically, we explore the effectiveness of Tensor Processing Unit (TPU) in accelerating explainable AI by exploiting the synergy between matrix convolution and Fourier transform, and therefore, it takes full advantage of TPU’s inherent ability in accelerating matrix computations. Extensive experimen

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Basics of Computer Architecturen trustworthy computing systems, it is crucial to identify and mitigate both hardware and software vulnerabilities. This book presented a wide variety of vulnerability detection and mitigation methods using explainable AI. This chapter concludes the book with a summary of ideas presented in the prev

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Explainable Artificial Intelligencehms are powerful at carrying out their tasks, they often do not provide any human-understandable explanation as to how the ML model reached its conclusion for a specific input. Explainable AI aims to explain an ML model’s decision-making in a human-comprehensible form. These explanations can be util