Adversarial Machine Learning Attack by Sreevallabh Chivukula (16 results)
- Softcover
Seller: Ria Christie Collections, Uxbridge, United KingdomRia Christie Collections
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Adversarial Machine Learning: Attack Surfaces, Defence Mechanisms, Learning Theories in Artificial Intelligence
Sreevallabh Chivukula, Aneesh; Yang, Xinghao; Liu, Bo; Liu, Wei; Zhou, Wanlei
- Softcover
Seller: Books Puddle, New York, NY, U.S.A.Books Puddle
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Condition: New. 2023rd edition NO-PA16APR2015-KAP.
Adversarial Machine Learning: Attack Surfaces, Defence Mechanisms, Learning Theories in Artificial Intelligence
Sreevallabh Chivukula, Aneesh; Yang, Xinghao; Liu, Bo; Liu, Wei; Zhou, Wanlei
- Softcover
Seller: Majestic Books, Hounslow, United KingdomMajestic Books
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Adversarial Machine Learning : Attack Surfaces, Defence Mechanisms, Learning Theories in Artificial Intelligence
Chivukula, Aneesh Sreevallabh; Yang, Xinghao; Liu, Bo; Liu, Wei; Zhou, Wanlei
- Hardcover
Seller: GreatBookPrices, Columbia, MD, U.S.A.GreatBookPrices
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Adversarial Machine Learning: Attack Surfaces, Defence Mechanisms, Learning Theories in Artificial Intelligence
Sreevallabh Chivukula, Aneesh; Yang, Xinghao; Liu, Bo; Liu, Wei; Zhou, Wanlei
- Softcover
Seller: Biblios, frankfurt am main, HESSE, GermanyBiblios
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Adversarial Machine Learning : Attack Surfaces, Defence Mechanisms, Learning Theories in Artificial Intelligence
Chivukula, Aneesh Sreevallabh; Yang, Xinghao; Liu, Bo; Liu, Wei; Zhou, Wanlei
- Hardcover
Seller: GreatBookPricesUK, Woodford Green, United KingdomGreatBookPricesUK
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Adversarial Machine Learning: Attack Surfaces, Defence Mechanisms, Learning Theories in Artificial Intelligence
Sreevallabh Chivukula, Aneesh; Yang, Xinghao; Liu, Bo; Liu, Wei; Zhou, Wanlei
- Hardcover
Seller: Ria Christie Collections, Uxbridge, United KingdomRia Christie Collections
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Adversarial Machine Learning : Attack Surfaces, Defence Mechanisms, Learning Theories in Artificial Intelligence
Chivukula, Aneesh Sreevallabh; Yang, Xinghao; Liu, Bo; Liu, Wei; Zhou, Wanlei
- Hardcover
Seller: GreatBookPrices, Columbia, MD, U.S.A.GreatBookPrices
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Adversarial Machine Learning : Attack Surfaces, Defence Mechanisms, Learning Theories in Artificial Intelligence
Chivukula, Aneesh Sreevallabh; Yang, Xinghao; Liu, Bo; Liu, Wei; Zhou, Wanlei
- Hardcover
Seller: GreatBookPricesUK, Woodford Green, United KingdomGreatBookPricesUK
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£ 166.00
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- Softcover
Seller: preigu, Osnabrück, Germanypreigu
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£ 138.20
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Taschenbuch. Condition: Neu. Adversarial Machine Learning | Attack Surfaces, Defence Mechanisms, Learning Theories in Artificial Intelligence | Aneesh Sreevallabh Chivukula (u. a.) | Taschenbuch | xix | Englisch | 2024 | Springer | EAN 9783030997748 | Verantwortliche Person für die EU: Springer Verlag GmbH, Tiergartenstr. 17, 69…121 Heidelberg, juergen[dot]hartmann[at]springer[dot]com | Anbieter: preigu.
- Softcover
Seller: AHA-BUCH GmbH, Einbeck, GermanyAHA-BUCH GmbH
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£ 159.10
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Taschenbuch. Condition: Neu. Druck auf Anfrage Neuware - Printed after ordering - A critical challenge in deep learning is the vulnerability of deep learning networks to security attacks from intelligent cyber adversaries. Even innocuous perturbations to the training data can be used to manipulate the behaviour of deep networks…in unintended ways. In this book, we review the latest developments in adversarial attack technologies in computer vision; natural language processing; and cybersecurity with regard to multidimensional, textual and image data, sequence data, and temporal data. In turn, we assess the robustness properties of deep learning networks to produce a taxonomy of adversarial examples that characterises the security of learning systems using game theoretical adversarial deep learning algorithms. The state-of-the-art in adversarial perturbation-based privacy protection mechanisms is also reviewed. We propose new adversary types for game theoretical objectives in non-stationary computational learning environments. Proper quantificationof the hypothesis set in the decision problems of our research leads to various functional problems, oracular problems, sampling tasks, and optimization problems. We also address the defence mechanisms currently available for deep learning models deployed in real-world environments. The learning theories used in these defence mechanisms concern data representations, feature manipulations, misclassifications costs, sensitivity landscapes, distributional robustness, and complexity classes of the adversarial deep learning algorithms and their applications. In closing, we propose future research directions in adversarial deep learning applications for resilient learning system design and review formalized learning assumptions concerning the attack surfaces and robustness characteristics of artificial intelligence applications so as to deconstruct the contemporary adversarial deep learning designs. Given its scope, the book will be of interest to Adversarial Machine Learning practitioners and Adversarial Artificial Intelligence researchers whose work involves the design and application of Adversarial Deep Learning.
- Hardcover
Seller: AHA-BUCH GmbH, Einbeck, GermanyAHA-BUCH GmbH
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£ 159.10
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Buch. Condition: Neu. Druck auf Anfrage Neuware - Printed after ordering - A critical challenge in deep learning is the vulnerability of deep learning networks to security attacks from intelligent cyber adversaries. Even innocuous perturbations to the training data can be used to manipulate the behaviour of deep networks in unin…tended ways. In this book, we review the latest developments in adversarial attack technologies in computer vision; natural language processing; and cybersecurity with regard to multidimensional, textual and image data, sequence data, and temporal data. In turn, we assess the robustness properties of deep learning networks to produce a taxonomy of adversarial examples that characterises the security of learning systems using game theoretical adversarial deep learning algorithms. The state-of-the-art in adversarial perturbation-based privacy protection mechanisms is also reviewed. We propose new adversary types for game theoretical objectives in non-stationary computational learning environments. Proper quantificationof the hypothesis set in the decision problems of our research leads to various functional problems, oracular problems, sampling tasks, and optimization problems. We also address the defence mechanisms currently available for deep learning models deployed in real-world environments. The learning theories used in these defence mechanisms concern data representations, feature manipulations, misclassifications costs, sensitivity landscapes, distributional robustness, and complexity classes of the adversarial deep learning algorithms and their applications. In closing, we propose future research directions in adversarial deep learning applications for resilient learning system design and review formalized learning assumptions concerning the attack surfaces and robustness characteristics of artificial intelligence applications so as to deconstruct the contemporary adversarial deep learning designs. Given its scope, the book will be of interest to Adversarial Machine Learning practitioners and Adversarial Artificial Intelligence researchers whose work involves the design and application of Adversarial Deep Learning.
Adversarial Machine Learning: Attack Surfaces, Defence Mechanisms, Learning Theories in Artificial Intelligence
Sreevallabh Chivukula, Aneesh, Yang, Xinghao, Liu, Bo, Liu, Wei, Zhou, Wanlei
- Hardcover
Seller: PAPER CAVALIER UK, London, United KingdomPAPER CAVALIER UK
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£ 220.79
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Adversarial Machine Learning: Attack Surfaces, Defence Mechanisms, Learning Theories in Artificial Intelligence
Chivukula, Aneesh Sreevallabh/ Yang, Xinghao/ Liu, Bo/ Liu, Wei/ Zhou, Wanlei
- Hardcover
Seller: Revaluation Books, Exeter, United KingdomRevaluation Books
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£ 230.50
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Hardcover. Condition: Brand New. 321 pages. 9.25x6.10x9.21 inches. In Stock.
- Softcover
- Print on Demand
Seller: Brook Bookstore On Demand, Napoli, NA, ItalyBrook Bookstore On Demand
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£ 124.44
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Condition: new. Questo è un articolo print on demand.
Adversarial Machine Learning: Attack Surfaces, Defence Mechanisms, Learning Theories in Artificial Intelligence
Chivukula, Aneesh Sreevallabh/ Yang, Xinghao/ Liu, Bo/ Liu, Wei/ Zhou, Wanlei
- Hardcover
- Print on Demand
Seller: Revaluation Books, Exeter, United KingdomRevaluation Books
Contact seller5-star sellerCondition: New
£ 149.99
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Hardcover. Condition: Brand New. 321 pages. 9.25x6.10x9.21 inches. In Stock. This item is printed on demand.
