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Deep Learning Computational Problems by Santikellur Pranesh (32 results)
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Condition: As New. Unread book in perfect condition.
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Deep Learning for Computational Problems in Hardware Security
Language: English
Published by Springer Verlag, Singapore, SG, 2022
ISBN 10: 9811940169 ISBN 13: 9789811940163
Seller: Rarewaves.com USA, London, LONDO, United Kingdom
Seller rating 5 out of 5 stars
Hardback. Condition: New. 2023 ed.
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Deep Learning for Computational Problems in Hardware Security : Modeling Attacks on Strong Physically Unclonable Function Circuits
Seller: GreatBookPricesUK, Woodford Green, United Kingdom
Seller rating 5 out of 5 stars
Condition: New.
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Deep Learning for Computational Problems in Hardware Security : Modeling Attacks on Strong Physically Unclonable Function Circuits
Seller: GreatBookPricesUK, Woodford Green, United Kingdom
Seller rating 5 out of 5 stars
Condition: As New. Unread book in perfect condition.
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Deep Learning for Computational Problems in Hardware Security
Language: English
Published by Springer Verlag, Singapore, 2022
ISBN 10: 9811940169 ISBN 13: 9789811940163
Seller: PBShop.store UK, Fairford, GLOS, United Kingdom
Seller rating 5 out of 5 stars
HRD. Condition: New. New Book. Shipped from UK. Established seller since 2000.
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Deep Learning for Computational Problems in Hardware Security
Language: English
Published by Springer Verlag, Singapore, 2022
ISBN 10: 9811940169 ISBN 13: 9789811940163
HRD. Condition: New. New Book. Shipped from UK. Established seller since 2000.
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Brand new book. Fast ship. Please provide full street address as we are not able to ship to P O box address.
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Deep Learning for Computational Problems in Hardware Security: Modeling Attacks on Strong Physically Unclonable Function Circuits (Studies in Computational Intelligence, 1052)
Seller: Ria Christie Collections, Uxbridge, United Kingdom
Seller rating 5 out of 5 stars
Condition: New. In.
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Deep Learning for Computational Problems in Hardware Security (Hardcover)
Language: English
Published by Springer Verlag, Singapore, Singapore, 2022
ISBN 10: 9811940169 ISBN 13: 9789811940163
Hardcover. Condition: new. Hardcover. The book discusses a broad overview of traditional machine learning methods and state-of-the-art deep learning practices for hardware security applications, in particular the techniques of launching potent "modeling attacks" on Physically Unclonable Function (PUF) circuits, which are promising hardware security primitives. The volume is self-contained and includes a comprehensive background on PUF circuits, and the necessary mathematical foundation of traditional and advanced machine learning techniques such as support vector machines, logistic regression, neural networks, and deep learning. This book can be used as a self-learning resource for researchers and practitioners of hardware security, and will also be suitable for graduate-level courses on hardware security and application of machine learning in hardware security. A stand-out feature of the book is the availability of reference software code and datasets to replicate the experiments described in the book. The book discusses a broad overview of traditional machine learning methods and state-of-the-art deep learning practices for hardware security applications, in particular the techniques of launching potent "modeling attacks" on Physically Unclonable Function (PUF) circuits, which are promising hardware security primitives. Shipping may be from multiple locations in the US or from the UK, depending on stock availability.
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Deep Learning For Computational Problems
Seller: Kennys Bookshop and Art Galleries Ltd., Galway, GY, Ireland
Seller rating 5 out of 5 stars
Condition: New.
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Condition: NEW.
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Condition: New. 1st ed. 2023 edition NO-PA16APR2015-KAP.
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Deep Learning for Computational Problems in Hardware Security
Language: English
Published by Springer Verlag, Singapore, SG, 2022
ISBN 10: 9811940169 ISBN 13: 9789811940163
Hardback. Condition: New. 2023 ed. The book discusses a broad overview of traditional machine learning methods and state-of-the-art deep learning practices for hardware security applications, in particular the techniques of launching potent "modeling attacks" on Physically Unclonable Function (PUF) circuits, which are promising hardware security primitives. The volume is self-contained and includes a comprehensive background on PUF circuits, and the necessary mathematical foundation of traditional and advanced machine learning techniques such as support vector machines, logistic regression, neural networks, and deep learning. This book can be used as a self-learning resource for researchers and practitioners of hardware security, and will also be suitable for graduate-level courses on hardware security and application of machine learning in hardware security. A stand-out feature of the book is the availability of reference software code and datasets to replicate the experiments described in the book.
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Condition: New.
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Deep Learning for Computational Problems in Hardware Security
Language: English
Published by Springer, Berlin|Springer Nature Singapore|Springer, 2022
ISBN 10: 9811940169 ISBN 13: 9789811940163
Condition: New. The book discusses a broad overview of traditional machine learning methods and state-of-the-art deep learning practices for hardware security applications, in particular the techniques of launching potent modeling attacks on Physically Unclonable Functio.
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Paperback. Condition: Brand New. 97 pages. 9.25x6.10x0.21 inches. In Stock.
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Hardcover. Condition: Brand New. 97 pages. 9.25x6.10x0.51 inches. In Stock.
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Taschenbuch. Condition: Neu. Deep Learning for Computational Problems in Hardware Security | Modeling Attacks on Strong Physically Unclonable Function Circuits | Pranesh Santikellur (u. a.) | Taschenbuch | xiii | Englisch | 2023 | Springer | EAN 9789811940194 | Verantwortliche Person für die EU: Springer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg, juergen[dot]hartmann[at]springer[dot]com | Anbieter: preigu.
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Deep Learning for Computational Problems in Hardware Security : Modeling Attacks on Strong Physically Unclonable Function Circuits
Language: English
Published by Springer Nature Singapore, 2022
ISBN 10: 9811940169 ISBN 13: 9789811940163
Condition: Sehr gut. Zustand: Sehr gut | Sprache: Englisch | Produktart: Bücher | The book discusses a broad overview of traditional machine learning methods and state-of-the-art deep learning practices for hardware security applications, in particular the techniques of launching potent "modeling attacks" on Physically Unclonable Function (PUF) circuits, which are promising hardware security primitives. The volume is self-contained and includes a comprehensive background on PUF circuits, and the necessary mathematical foundation of traditional and advanced machine learning techniques such as support vector machines, logistic regression, neural networks, and deep learning. This book can be used as a self-learning resource for researchers and practitioners of hardware security, and will also be suitable for graduate-level courses on hardware security and application of machine learning in hardware security. A stand-out feature of the book is the availability of reference software code and datasets to replicate the experiments described in the book.
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Taschenbuch. Condition: Neu. Druck auf Anfrage Neuware - Printed after ordering - The book discusses a broad overview of traditional machine learning methods and state-of-the-art deep learning practices for hardware security applications, in particular the techniques of launching potent 'modeling attacks' on Physically Unclonable Function (PUF) circuits, which are promising hardware security primitives. The volume is self-contained and includes a comprehensive background on PUF circuits, and the necessary mathematical foundation of traditional and advanced machine learning techniques such as support vector machines, logistic regression, neural networks, and deep learning. This book can be used as a self-learning resource for researchers and practitioners of hardware security, and will also be suitable for graduate-level courses on hardware security and application of machine learning in hardware security. A stand-out feature of the book is the availability of reference software code and datasets to replicate the experiments described in the book.
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Deep Learning for Computational Problems in Hardware Security (Hardcover)
Language: English
Published by Springer Verlag, Singapore, Singapore, 2022
ISBN 10: 9811940169 ISBN 13: 9789811940163
Hardcover. Condition: new. Hardcover. The book discusses a broad overview of traditional machine learning methods and state-of-the-art deep learning practices for hardware security applications, in particular the techniques of launching potent "modeling attacks" on Physically Unclonable Function (PUF) circuits, which are promising hardware security primitives. The volume is self-contained and includes a comprehensive background on PUF circuits, and the necessary mathematical foundation of traditional and advanced machine learning techniques such as support vector machines, logistic regression, neural networks, and deep learning. This book can be used as a self-learning resource for researchers and practitioners of hardware security, and will also be suitable for graduate-level courses on hardware security and application of machine learning in hardware security. A stand-out feature of the book is the availability of reference software code and datasets to replicate the experiments described in the book. The book discusses a broad overview of traditional machine learning methods and state-of-the-art deep learning practices for hardware security applications, in particular the techniques of launching potent "modeling attacks" on Physically Unclonable Function (PUF) circuits, which are promising hardware security primitives. Shipping may be from our Sydney, NSW warehouse or from our UK or US warehouse, depending on stock availability.
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Buch. Condition: Neu. Deep Learning for Computational Problems in Hardware Security | Modeling Attacks on Strong Physically Unclonable Function Circuits | Pranesh Santikellur (u. a.) | Buch | xiii | Englisch | 2022 | Springer | EAN 9789811940163 | Verantwortliche Person für die EU: Springer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg, juergen[dot]hartmann[at]springer[dot]com | Anbieter: preigu.
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Hardcover. Condition: Brand New. 97 pages. 9.25x6.10x0.51 inches. In Stock. This item is printed on demand.
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Deep Learning for Computational Problems in Hardware Security
Language: English
Published by Springer, Berlin|Springer Nature Singapore|Springer, 2023
ISBN 10: 9811940193 ISBN 13: 9789811940194
Condition: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. The book discusses a broad overview of traditional machine learning methods and state-of-the-art deep learning practices for hardware security applications, in particular the techniques of launching potent modeling attacks on Physically Unclonable Functio.
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