Order Total (1 Item Items):
Shipping Destination:
Adversarial Machine Learning Attack by Sreevallabh Chivukula (17 results)
Skip to main search results
Search filters
Product Type
- All Product Types
- Books (17)
- Magazines & Periodicals (No further results match this refinement)
- Comics (No further results match this refinement)
- Sheet Music (No further results match this refinement)
- Art, Prints & Posters (No further results match this refinement)
- Photographs (No further results match this refinement)
- Maps (No further results match this refinement)
- Manuscripts & Paper Collectibles (No further results match this refinement)
Condition Learn more
- New (15)
- As New, Fine or Near Fine (2)
- Very Good or Good (No further results match this refinement)
- Fair or Poor (No further results match this refinement)
- As Described (No further results match this refinement)
Binding
Collectible Attributes
- First Edition (No further results match this refinement)
- Signed (No further results match this refinement)
- Dust Jacket (No further results match this refinement)
- Seller-Supplied Images (8)
- Not Print on Demand (13)
Language (1)
Price
- Any Price
- Under US$ 25 (No further results match this refinement)
- US$ 25 to US$ 50 (No further results match this refinement)
- Over US$ 50
Free Shipping
Seller Location
Seller Rating
-
Adversarial Machine Learning: Attack Surfaces, Defence Mechanisms, Learning Theories in Artificial Intelligence
Seller: Ria Christie Collections, Uxbridge, United Kingdom
Seller rating 5 out of 5 stars
US$ 62.69
Convert currencyUS$ 15.98 shipping from United Kingdom to U.S.A.Quantity: Over 20 available
Add to basketCondition: New. In.
-
US$ 201.89
Convert currencyUS$ 2.64 shipping within U.S.A.Quantity: Over 20 available
Add to basketCondition: New.
-
Adversarial Machine Learning: Attack Surfaces, Defence Mechanisms, Learning Theories in Artificial Intelligence
Seller: Ria Christie Collections, Uxbridge, United Kingdom
Seller rating 5 out of 5 stars
US$ 198.05
Convert currencyUS$ 15.98 shipping from United Kingdom to U.S.A.Quantity: Over 20 available
Add to basketCondition: New. In.
-
Adversarial Machine Learning : Attack Surfaces, Defence Mechanisms, Learning Theories in Artificial Intelligence
Seller: GreatBookPricesUK, Woodford Green, United Kingdom
Seller rating 5 out of 5 stars
US$ 198.03
Convert currencyUS$ 20.01 shipping from United Kingdom to U.S.A.Quantity: Over 20 available
Add to basketCondition: New.
-
US$ 211.92
Convert currencyUS$ 2.64 shipping within U.S.A.Quantity: Over 20 available
Add to basketCondition: As New. Unread book in perfect condition.
-
Condition: New.
-
Adversarial Machine Learning : Attack Surfaces, Defence Mechanisms, Learning Theories in Artificial Intelligence
Seller: GreatBookPricesUK, Woodford Green, United Kingdom
Seller rating 5 out of 5 stars
US$ 224.33
Convert currencyUS$ 20.01 shipping from United Kingdom to U.S.A.Quantity: Over 20 available
Add to basketCondition: As New. Unread book in perfect condition.
-
Condition: New. 2023rd edition NO-PA16APR2015-KAP.
-
Adversarial Machine Learning | Attack Surfaces, Defence Mechanisms, Learning Theories in Artificial Intelligence
Published by Springer Nature Switzerland, 2024
ISBN 10: 303099774X ISBN 13: 9783030997748
Language: English
US$ 191.12
Convert currencyUS$ 81.56 shipping from Germany to U.S.A.Quantity: 5 available
Add to basketTaschenbuch. Condition: Neu. Adversarial Machine Learning | Attack Surfaces, Defence Mechanisms, Learning Theories in Artificial Intelligence | Aneesh Sreevallabh Chivukula (u. a.) | Taschenbuch | xix | Englisch | 2024 | Springer Nature Switzerland | EAN 9783030997748 | Verantwortliche Person für die EU: Springer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg, juergen[dot]hartmann[at]springer[dot]com | Anbieter: preigu.
-
Adversarial Machine Learning : Attack Surfaces, Defence Mechanisms, Learning Theories in Artificial Intelligence
Published by Springer International Publishing, 2024
ISBN 10: 303099774X ISBN 13: 9783030997748
Language: English
US$ 218.29
Convert currencyUS$ 72.79 shipping from Germany to U.S.A.Quantity: 1 available
Add to basketTaschenbuch. 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.
-
Adversarial Machine Learning : Attack Surfaces, Defence Mechanisms, Learning Theories in Artificial Intelligence
Published by Springer International Publishing, 2023
ISBN 10: 3030997715 ISBN 13: 9783030997717
Language: English
US$ 218.29
Convert currencyUS$ 73.72 shipping from Germany to U.S.A.Quantity: 1 available
Add to basketBuch. 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.
-
US$ 303.38
Convert currencyUS$ 8.00 shipping from United Kingdom to U.S.A.Quantity: 1 available
Add to basketCondition: new. New!
-
Adversarial Machine Learning: Attack Surfaces, Defence Mechanisms, Learning Theories in Artificial Intelligence
Published by Springer-Nature New York Inc, 2023
ISBN 10: 3030997715 ISBN 13: 9783030997717
Language: English
US$ 320.29
Convert currencyUS$ 16.68 shipping from United Kingdom to U.S.A.Quantity: 2 available
Add to basketHardcover. Condition: Brand New. 321 pages. 9.25x6.10x9.21 inches. In Stock.
-
Adversarial Machine Learning: Attack Surfaces, Defence Mechanisms, Learning Theories in Artificial Intelligence
Published by Springer-Nature New York Inc, 2023
ISBN 10: 3030997715 ISBN 13: 9783030997717
Language: English
US$ 206.10
Convert currencyUS$ 16.68 shipping from United Kingdom to U.S.A.Quantity: 1 available
Add to basketHardcover. Condition: Brand New. 321 pages. 9.25x6.10x9.21 inches. In Stock. This item is printed on demand.
-
Adversarial Machine Learning | Attack Surfaces, Defence Mechanisms, Learning Theories in Artificial Intelligence
Published by Springer International Publishing, 2023
ISBN 10: 3030997715 ISBN 13: 9783030997717
Language: English
US$ 191.12
Convert currencyUS$ 81.56 shipping from Germany to U.S.A.Quantity: 5 available
Add to basketBuch. Condition: Neu. Adversarial Machine Learning | Attack Surfaces, Defence Mechanisms, Learning Theories in Artificial Intelligence | Aneesh Sreevallabh Chivukula (u. a.) | Buch | xix | Englisch | 2023 | Springer International Publishing | EAN 9783030997717 | Verantwortliche Person für die EU: Springer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg, juergen[dot]hartmann[at]springer[dot]com | Anbieter: preigu Print on Demand.
-
US$ 277.17
Convert currencyUS$ 8.67 shipping from United Kingdom to U.S.A.Quantity: 4 available
Add to basketCondition: New. Print on Demand.
-
US$ 298.46
Convert currencyUS$ 11.59 shipping from Germany to U.S.A.Quantity: 4 available
Add to basketCondition: New. PRINT ON DEMAND.
