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A Pragmatic Introduction to Secure Multi-Party Computation

2018-12-19
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Release : 2018-12-19
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Kind : eBook
Book Rating : 083/5 ( reviews)

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Book Synopsis A Pragmatic Introduction to Secure Multi-Party Computation by : David Evans

Download or read book A Pragmatic Introduction to Secure Multi-Party Computation written by David Evans. This book was released on 2018-12-19. Available in PDF, EPUB and Kindle. Book excerpt: Practitioners and researchers seeking a concise, accessible introduction to secure multi-party computation which quickly enables them to build practical systems or conduct further research will find this essential reading.

Applications of Secure Multiparty Computation

2015-07-30 Computers
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Release : 2015-07-30
Genre : Computers
Kind : eBook
Book Rating : 32X/5 ( reviews)

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Book Synopsis Applications of Secure Multiparty Computation by : P. Laud

Download or read book Applications of Secure Multiparty Computation written by P. Laud. This book was released on 2015-07-30. Available in PDF, EPUB and Kindle. Book excerpt: We generate and gather a lot of data about ourselves and others, some of it highly confidential. The collection, storage and use of this data is strictly regulated by laws, but restricting the use of data often limits the benefits which could be obtained from its analysis. Secure multi-party computation (SMC), a cryptographic technology, makes it possible to execute specific programs on confidential data while ensuring that no other sensitive information from the data is leaked. SMC has been the subject of academic study for more than 30 years, but first attempts to use it for actual computations in the early 2000s – although theoretically efficient – were initially not practicable. However, improvements in the situation have made possible the secure solving of even relatively large computational tasks. This book describes how many different computational tasks can be solved securely, yet efficiently. It describes how protocols can be combined to larger applications, and how the security-efficiency trade-offs of different components of an SMC application should be chosen. Many of the results described in this book were achieved as part of the project Usable and Efficient Secure Multi-party Computation (UaESMC), which was funded by the European Commission. The book will be of interest to all those whose work involves the secure analysis of confidential data.

Secure Multiparty Computation

2015-07-15 Computers
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Release : 2015-07-15
Genre : Computers
Kind : eBook
Book Rating : 050/5 ( reviews)

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Book Synopsis Secure Multiparty Computation by : Ronald Cramer

Download or read book Secure Multiparty Computation written by Ronald Cramer. This book was released on 2015-07-15. Available in PDF, EPUB and Kindle. Book excerpt: This book provides information on theoretically secure multiparty computation (MPC) and secret sharing, and the fascinating relationship between the two concepts.

Introduction to Modern Cryptography

2020-12-21 Computers
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Release : 2020-12-21
Genre : Computers
Kind : eBook
Book Rating : 012/5 ( reviews)

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Book Synopsis Introduction to Modern Cryptography by : Jonathan Katz

Download or read book Introduction to Modern Cryptography written by Jonathan Katz. This book was released on 2020-12-21. Available in PDF, EPUB and Kindle. Book excerpt: Now the most used texbook for introductory cryptography courses in both mathematics and computer science, the Third Edition builds upon previous editions by offering several new sections, topics, and exercises. The authors present the core principles of modern cryptography, with emphasis on formal definitions, rigorous proofs of security.

Pragmatic AI

2018-07-12 Computers
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Release : 2018-07-12
Genre : Computers
Kind : eBook
Book Rating : 917/5 ( reviews)

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Book Synopsis Pragmatic AI by : Noah Gift

Download or read book Pragmatic AI written by Noah Gift. This book was released on 2018-07-12. Available in PDF, EPUB and Kindle. Book excerpt: Master Powerful Off-the-Shelf Business Solutions for AI and Machine Learning Pragmatic AI will help you solve real-world problems with contemporary machine learning, artificial intelligence, and cloud computing tools. Noah Gift demystifies all the concepts and tools you need to get results—even if you don’t have a strong background in math or data science. Gift illuminates powerful off-the-shelf cloud offerings from Amazon, Google, and Microsoft, and demonstrates proven techniques using the Python data science ecosystem. His workflows and examples help you streamline and simplify every step, from deployment to production, and build exceptionally scalable solutions. As you learn how machine language (ML) solutions work, you’ll gain a more intuitive understanding of what you can achieve with them and how to maximize their value. Building on these fundamentals, you’ll walk step-by-step through building cloud-based AI/ML applications to address realistic issues in sports marketing, project management, product pricing, real estate, and beyond. Whether you’re a business professional, decision-maker, student, or programmer, Gift’s expert guidance and wide-ranging case studies will prepare you to solve data science problems in virtually any environment. Get and configure all the tools you’ll need Quickly review all the Python you need to start building machine learning applications Master the AI and ML toolchain and project lifecycle Work with Python data science tools such as IPython, Pandas, Numpy, Juypter Notebook, and Sklearn Incorporate a pragmatic feedback loop that continually improves the efficiency of your workflows and systems Develop cloud AI solutions with Google Cloud Platform, including TPU, Colaboratory, and Datalab services Define Amazon Web Services cloud AI workflows, including spot instances, code pipelines, boto, and more Work with Microsoft Azure AI APIs Walk through building six real-world AI applications, from start to finish Register your book for convenient access to downloads, updates, and/or corrections as they become available. See inside book for details.

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