{"product_id":"ai-for-cybersecurity-houbing-song-9781394293742","title":"AI for Cybersecurity: Research and Practice","description":"\u003cp\u003e\u003cb\u003eInformative reference on the state of the art in cybersecurity and how to achieve a more secure cyberspace\u003c\/b\u003e \u003c\/p\u003e\u003cp\u003e\u003ci\u003eAI for Cybersecurity\u003c\/i\u003e presents the state of the art and practice in AI for cybersecurity with a focus on four interrelated defensive capabilities of deter, protect, detect, and respond. The book examines the fundamentals of AI for cybersecurity as a multidisciplinary subject, describes how to design, build, and operate AI technologies and strategies to achieve a more secure cyberspace, and provides why-what-how of each AI technique-cybersecurity task pair to enable researchers and practitioners to make contributions to the field of AI for cybersecurity. \u003c\/p\u003e\u003cp\u003eThis book is aligned with the National Science and Technology Council's (NSTC) 2023 Federal Cybersecurity Research and Development Strategic Plan (RDSP) and President Biden's Executive Order on the Safe, Secure, and Trustworthy Development and Use of Artificial Intelligence. Learning objectives and 200 illustrations are included throughout the text. \u003c\/p\u003e\u003cp\u003eWritten by a team of highly qualified experts in the field, \u003ci\u003eAI for Cybersecurity\u003c\/i\u003e discusses topics including: \u003c\/p\u003e\u003cul\u003e \u003cli\u003eRobustness and risks of the methods covered, including adversarial ML threats in model training, deployment, and reuse\u003c\/li\u003e \u003cli\u003ePrivacy risks including model inversion, membership inference, attribute inference, re-identification, and deanonymization\u003c\/li\u003e \u003cli\u003eForensic and formal methods for analyzing, auditing, and verifying security- and privacy-related aspects of AI components\u003c\/li\u003e \u003cli\u003eUse of generative AI systems for improving security and the risks of generative AI systems to security\u003c\/li\u003e \u003cli\u003eTransparency and interpretability\/explainability of models and algorithms and associated issues of fairness and bias\u003c\/li\u003e \u003c\/ul\u003e \u003cp\u003e\u003ci\u003eAI for Cybersecurity\u003c\/i\u003e is an excellent reference for practitioners in AI for cybersecurity related industries such as commerce, education, energy, financial services, healthcare, manufacturing, and defense. Fourth year undergraduates and postgraduates in computer science and related programs of study will also find it valuable.\u003cbr\u003e\u003cbr\u003e\u003cb\u003eAuthor:\u003c\/b\u003e Houbing Song\u003cbr\u003e\u003cb\u003eISBN-10:\u003c\/b\u003e 1394293747\u003cbr\u003e\u003cb\u003eISBN-13:\u003c\/b\u003e 9781394293742\u003cbr\u003e\u003cb\u003ePublisher:\u003c\/b\u003e Wiley-IEEE Press\u003cbr\u003e\u003cb\u003eLanguage:\u003c\/b\u003e English\u003cbr\u003e\u003cb\u003ePublished:\u003c\/b\u003e 12\/31\/2025\u003cbr\u003e\u003cb\u003ePages:\u003c\/b\u003e 512\u003cbr\u003e\u003cb\u003eFormat:\u003c\/b\u003e Hardcover\u003cbr\u003e\u003cb\u003eWeight:\u003c\/b\u003e 2.10lbs\u003cbr\u003e\u003cb\u003eSize:\u003c\/b\u003e 9.14h x 6.23w x 1.74d\u003c\/p\u003e","brand":"Houbing Song","offers":[{"title":"Hardcover","offer_id":48449552023807,"sku":"9781394293742","price":145.0,"currency_code":"USD","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0662\/2982\/9887\/files\/img_b0872ccb-b76c-4b5d-ae29-7c3751d117d5.jpg?v=1777263895","url":"https:\/\/www.whiterainbookhouse.com\/products\/ai-for-cybersecurity-houbing-song-9781394293742","provider":"WR Book House","version":"1.0","type":"link"}