Название: Attacks and Defenses in Explainable Artificial IntelligenceАвтор: Amol Dattatraya Vibhute, Rajesh Kumar Dhanaraj, Malathy Sathyamoorthy, Paramasivam A.
Издательство: Wiley-Scrivener
Год: 2026
Страниц: 519
Язык: английский
Формат: pdf (true)
Размер: 66.0 MB
Bridge the critical gap between AI transparency and security with this essential guide to the systematic defense frameworks and ethical strategies needed to protect Explainable AI (XAI) systems from sophisticated adversarial attacks. In the Artificial Intelligence era, Explainable AI (XAI) is an essential breakthrough that plays a vital role in unfolding complex AI model decisions and predictions. However, adversarial attacks can break XAI systems and create dangerous cyber threats. This book is a fundamental guide to the systematic framework and solutions surrounding XAI and its vulnerabilities. It presents strategies for detecting adversarial attacks and focuses on various attack scenarios and defense mechanisms essential in stimulating AI systems. The book will provide a systematic and detailed exploration of the complexity of adversarial attacks on XAI systems and propose theoretical concepts, methodological solutions, and essential tools for protecting the XAI systems against adversarial attacks.
