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Adversarial Machine Learning: Attack Surfaces, Defence Mechanisms, Learning Theories in Artificial Intelligence
Seller: Ria Christie Collections, Uxbridge, United Kingdom
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Adversarial Machine Learning : Attack Surfaces, Defence Mechanisms, Learning Theories in Artificial Intelligence
Seller: GreatBookPricesUK, Woodford Green, United Kingdom
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Adversarial Machine Learning: Attack Surfaces, Defence Mechanisms, Learning Theories in Artificial Intelligence
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Adversarial Machine Learning : Attack Surfaces, Defence Mechanisms, Learning Theories in Artificial Intelligence
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Adversarial Machine Learning: Attack Surfaces, Defence Mechanisms, Learning Theories in Artificial Intelligence
Language: English
Published by Springer-Nature New York Inc, 2023
ISBN 10: 3030997715 ISBN 13: 9783030997717
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Add to basketHardcover. Condition: Brand New. 321 pages. 9.25x6.10x9.21 inches. In Stock.
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Adversarial Machine Learning
Language: English
Published by Springer Nature B.V., 2023
ISBN 10: 3030997731 ISBN 13: 9783030997731
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Adversarial Machine Learning
Language: English
Published by Springer Nature B.V., 2023
ISBN 10: 3030997731 ISBN 13: 9783030997731
Seller: PBShop.store UK, Fairford, GLOS, United Kingdom
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Condition: Brand New. New. US edition. Print on demand title. Delivery takes 20-25 days.
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Adversarial Machine Learning: Attack Surfaces, Defence Mechanisms, Learning Theories in Artificial Intelligence
Language: English
Published by Springer-Nature New York Inc, 2023
ISBN 10: 3030997715 ISBN 13: 9783030997717
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Add to basketHardcover. Condition: Brand New. 321 pages. 9.25x6.10x9.21 inches. In Stock. This item is printed on demand.
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Adversarial Machine Learning
Language: English
Published by Springer, Berlin|Springer International Publishing|Springer, 2024
ISBN 10: 303099774X ISBN 13: 9783030997748
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Add to basketCondition: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. 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 uni.
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Adversarial Deep Learning in Cybersecurity
Language: English
Published by Springer, Berlin|Springer International Publishing|Springer, 2022
ISBN 10: 3030997715 ISBN 13: 9783030997717
US$ 181.22
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Add to basketCondition: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. 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 uni.
