{"product_id":"9783031994463","title":"Adversarial Example Detection and Mitigation Using Machine Learning","description":"\u003ch1\u003eAdversarial Example Detection and Mitigation Using Machine Learning\u003c\/h1\u003e \u003ch2\u003eNowroozi, Ehsan; Taheri, Rahim; Cordeiro, Lucas\u003c\/h2\u003e \u003cp\u003e\u003c\/p\u003e\u003cp class=\"MsoNormal\" style=\"text-align: justify;\"\u003e\u003cspan lang=\"EN-US\" style=\"font-family: 'Times New Roman',serif; mso-ansi-language: EN-US;\"\u003eThis book offers a comprehensive exploration of the emerging threats and defense strategies in adversarial machine learning and AI security. It covers a broad range of topics, from federated learning attacks, adversarial defenses, biometric vulnerabilities, \u003c\/span\u003e\u003cspan lang=\"EN-US\" style=\"font-family: 'Times New Roman',serif; mso-ansi-language: EN-US;\"\u003eand security weaknesses in generative AI to quantum threats and ethical considerations. It also brings together leading researchers to provide an in-depth and multifaceted perspective. \u003c\/span\u003e\u003c\/p\u003e\n\u003cp class=\"MsoNormal\" style=\"text-align: justify;\"\u003e\u003cspan lang=\"EN-US\" style=\"font-family: 'Times New Roman',serif; mso-ansi-language: EN-US;\"\u003eAs artificial intelligence systems become increasingly integrated into critical sectors such as healthcare, finance, transportation, and national security, understanding and mitigating adversarial risks has never been more crucial. \u003c\/span\u003e\u003cspan lang=\"EN-US\" style=\"font-family: 'Times New Roman',serif; mso-ansi-language: EN-US;\"\u003eEach chapter delivers not only a detailed analysis of current challenges, but it also includes insights into practical mitigation techniques, future trends, and real-world applications. \u003c\/span\u003e\u003c\/p\u003e\n\u003cp class=\"MsoNormal\" style=\"text-align: justify;\"\u003e\u003cspan lang=\"EN-US\" style=\"font-family: 'Times New Roman',serif; mso-ansi-language: EN-US;\"\u003eThis book is intended for researchers and graduate students working in machine learning, cybersecurity, and related disciplines. Security professionals will also find this book to be a valuable reference for understanding the latest advancements, defending against sophisticated adversarial threats, and contributing to the development of more robust, \u003c\/span\u003e\u003cspan lang=\"EN-US\" style=\"font-size: 10.0pt; font-family: 'Times New Roman',serif; mso-fareast-font-family: Calibri; mso-fareast-theme-font: minor-latin; mso-ansi-language: EN-US; mso-fareast-language: EN-IN; mso-bidi-language: AR-SA;\"\u003etrustworthy AI systems. By bridging theoretical foundations with practical applications, this book serves as both a scholarly reference and a catalyst for innovation in the rapidly evolving field of AI security.\u003c\/span\u003e\u003c\/p\u003e \u003ch3\u003eDetails\u003c\/h3\u003e \u003cp\u003ePublished by: Springer\u003c\/p\u003e \u003cp\u003ePublication Date: 2026-01-22\u003c\/p\u003e \u003cp\u003eFormat: Hardcover\u003c\/p\u003e \u003cp\u003eISBN-13: 9783031994463\u003c\/p\u003e \u003cp\u003eDOI: 10.1007\/978-3-031-99447-0\u003c\/p\u003e \u003cp\u003eDimensions: 235cm x155cm\u003c\/p\u003e \u003cp\u003ePages: 304\u003c\/p\u003e ","brand":"Springer Nature Switzerland","offers":[{"title":"Default Title","offer_id":44309926609036,"sku":"9783031994463","price":152.99,"currency_code":"USD","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0710\/9545\/1788\/files\/9783031994463.jpg?v=1771558218","url":"https:\/\/fh90cf-fv.myshopify.com\/products\/9783031994463","provider":"Late Knight Books and Services, LLC","version":"1.0","type":"link"}