Language: English
Published by Alethia Publishing (edition 1), 2015
ISBN 10: 8192043371 ISBN 13: 9788192043371
Seller: BooksRun, Philadelphia, PA, U.S.A.
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Seller: Ria Christie Collections, Uxbridge, United Kingdom
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Seller: GreatBookPricesUK, Woodford Green, United Kingdom
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Condition: New. 1st ed. 2021 edition NO-PA16APR2015-KAP.
Language: English
Published by LIGHTNING SOURCE INC, 2015
ISBN 10: 8192043371 ISBN 13: 9788192043371
Seller: moluna, Greven, Germany
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Language: English
Published by Springer-Nature New York Inc, 2021
ISBN 10: 3030792897 ISBN 13: 9783030792893
Seller: Revaluation Books, Exeter, United Kingdom
Paperback. Condition: Brand New. 153 pages. 9.25x6.10x0.33 inches. In Stock.
Language: English
Published by LIGHTNING SOURCE INC, 2015
ISBN 10: 819204338X ISBN 13: 9788192043388
Seller: moluna, Greven, Germany
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Language: English
Published by Springer International Publishing, 2021
ISBN 10: 3030792897 ISBN 13: 9783030792893
Seller: AHA-BUCH GmbH, Einbeck, Germany
Taschenbuch. Condition: Neu. Druck auf Anfrage Neuware - Printed after ordering - This book constitutes the proceedings of the 10th International Conference on Computational Advances in Bio and Medical Sciences, ICCABS 2020, held in December 2020. Due to COVID-19 pandemic the conference was held virtually.The 6 regular and 5 invited papers presented in this book were carefully reviewed and selected from 16 submissions. The use of high throughput technologies is fundamentally changing the life sciences and leading to the collection of large amounts of biological and medical data. The papers show how the use of this data can help expand our knowledge of fundamental biological processes and improve human health - using novel computational models and advanced analysis algorithms.
Language: English
Published by Amazon Digital Services LLC - Kdp, 2015
ISBN 10: 819204338X ISBN 13: 9788192043388
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Language: English
Published by John Wiley & Sons Inc, 2026
ISBN 10: 1394293747 ISBN 13: 9781394293742
Seller: Grand Eagle Retail, Bensenville, IL, U.S.A.
Hardcover. Condition: new. Hardcover. Informative reference on the state of the art in cybersecurity and how to achieve a more secure cyberspace AI for Cybersecurity 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. This book is aligned with the National Science and Technology Councils (NSTC) 2023 Federal Cybersecurity Research and Development Strategic Plan (RDSP) and President Bidens Executive Order on the Safe, Secure, and Trustworthy Development and Use of Artificial Intelligence. Learning objectives and 200 illustrations are included throughout the text. Written by a team of highly qualified experts in the field, AI for Cybersecurity discusses topics including: Robustness and risks of the methods covered, including adversarial ML threats in model training, deployment, and reusePrivacy risks including model inversion, membership inference, attribute inference, re-identification, and deanonymizationForensic and formal methods for analyzing, auditing, and verifying security- and privacy-related aspects of AI componentsUse of generative AI systems for improving security and the risks of generative AI systems to securityTransparency and interpretability/explainability of models and algorithms and associated issues of fairness and bias AI for Cybersecurity 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. Shipping may be from multiple locations in the US or from the UK, depending on stock availability.
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Language: English
Published by John Wiley & Sons Inc, 2026
ISBN 10: 1394293747 ISBN 13: 9781394293742
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First Edition
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Language: English
Published by John Wiley & Sons Inc, 2026
ISBN 10: 1394293747 ISBN 13: 9781394293742
Seller: CitiRetail, Stevenage, United Kingdom
Hardcover. Condition: new. Hardcover. Informative reference on the state of the art in cybersecurity and how to achieve a more secure cyberspace AI for Cybersecurity 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. This book is aligned with the National Science and Technology Councils (NSTC) 2023 Federal Cybersecurity Research and Development Strategic Plan (RDSP) and President Bidens Executive Order on the Safe, Secure, and Trustworthy Development and Use of Artificial Intelligence. Learning objectives and 200 illustrations are included throughout the text. Written by a team of highly qualified experts in the field, AI for Cybersecurity discusses topics including: Robustness and risks of the methods covered, including adversarial ML threats in model training, deployment, and reusePrivacy risks including model inversion, membership inference, attribute inference, re-identification, and deanonymizationForensic and formal methods for analyzing, auditing, and verifying security- and privacy-related aspects of AI componentsUse of generative AI systems for improving security and the risks of generative AI systems to securityTransparency and interpretability/explainability of models and algorithms and associated issues of fairness and bias AI for Cybersecurity 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. Shipping may be from our UK warehouse or from our Australian or US warehouses, depending on stock availability.
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