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Differential Privacy: From Theory to Practice, Ninghui Li, Min Lyu, Dong Su, Weining Yang


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Цена: 51750.00T
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в Мои желания

Автор: Ninghui Li, Min Lyu, Dong Su, Weining Yang
Название:  Differential Privacy: From Theory to Practice
ISBN: 9781627054935
Издательство: Mare Nostrum (Eurospan)
Классификация:
ISBN-10: 1627054936
Обложка/Формат: Paperback
Страницы: 138
Вес: 0.28 кг.
Дата издания: 30.10.2016
Серия: Synthesis lectures on information security, privacy, and trust
Язык: English
Размер: 192 x 234 x 7
Читательская аудитория: General (us: trade)
Ключевые слова: Privacy & data protection, COMPUTERS / Security / Cryptography
Подзаголовок: From theory to practice
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Поставляется из: Англии
Описание: Over the last decade, differential privacy (DP) has emerged as the de facto standard privacy notion for research in privacy-preserving data analysis and publishing. The DP notion offers strong privacy guarantee and has been applied to many data analysis tasks.This Synthesis Lecture is the first of two volumes on differential privacy. This lecture differs from the existing books and surveys on differential privacy in that we take an approach balancing theory and practice. We focus on empirical accuracy performances of algorithms rather than asymptotic accuracy guarantees. At the same time, we try to explain why these algorithms have those empirical accuracy performances. We also take a balanced approach regarding the semantic meanings of differential privacy, explaining both its strong guarantees and its limitations.We start by inspecting the definition and basic properties of DP, and the main primitives for achieving DP. Then, we give a detailed discussion on the the semantic privacy guarantee provided by DP and the caveats when applying DP. Next, we review the state of the art mechanisms for publishing histograms for low-dimensional datasets, mechanisms for conducting machine learning tasks such as classification, regression, and clustering, and mechanisms for publishing information to answer marginal queries for high-dimensional datasets. Finally, we explain the sparse vector technique, including the many errors that have been made in the literature using it.The planned Volume 2 will cover usage of DP in other settings, including high-dimensional datasets, graph datasets, local setting, location privacy, and so on. We will also discuss various relaxations of DP.

Strategies for Media Reform: International Perspectives

Автор: Des Freedman, Jonathan Obar, Cheryl Martens, Robert W. McChesney
Название: Strategies for Media Reform: International Perspectives
ISBN: 082327165X ISBN-13(EAN): 9780823271658
Издательство: Mare Nostrum (Eurospan)
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Цена: 32610.00 T
Наличие на складе: Нет в наличии.
Описание:

Media reform plays an increasingly important role in the struggle for social justice. As battles are fought over the future of investigative journalism, media ownership, spectrum management, speech rights, broadband access, network neutrality, the surveillance apparatus, and digital literacy, what effective strategies can be used in the pursuit of effective media reform?
Prepared by thirty-three scholars and activists from more than twenty-five countries, Strategies for Media Reform focuses on theorizing media democratization and evaluating specific projects for media reform. This edited collection of articles offers readers the opportunity to reflect on the prospects for and challenges facing campaigns for media reform and gathers significant examples of theory, advocacy, and activism from multinational perspectives.


Differential Privacy: From Theory to Practice

Автор: Ninghui Li, Min Lyu, Dong Su, Weining Yang
Название: Differential Privacy: From Theory to Practice
ISBN: 1681732211 ISBN-13(EAN): 9781681732213
Издательство: Mare Nostrum (Eurospan)
Рейтинг:
Цена: 72070.00 T
Наличие на складе: Невозможна поставка.
Описание: Over the last decade, differential privacy (DP) has emerged as the de facto standard privacy notion for research in privacy-preserving data analysis and publishing. The DP notion offers strong privacy guarantee and has been applied to many data analysis tasks.This Synthesis Lecture is the first of two volumes on differential privacy. This lecture differs from the existing books and surveys on differential privacy in that we take an approach balancing theory and practice. We focus on empirical accuracy performances of algorithms rather than asymptotic accuracy guarantees. At the same time, we try to explain why these algorithms have those empirical accuracy performances. We also take a balanced approach regarding the semantic meanings of differential privacy, explaining both its strong guarantees and its limitations.We start by inspecting the definition and basic properties of DP, and the main primitives for achieving DP. Then, we give a detailed discussion on the the semantic privacy guarantee provided by DP and the caveats when applying DP. Next, we review the state of the art mechanisms for publishing histograms for low-dimensional datasets, mechanisms for conducting machine learning tasks such as classification, regression, and clustering, and mechanisms for publishing information to answer marginal queries for high-dimensional datasets. Finally, we explain the sparse vector technique, including the many errors that have been made in the literature using it.The planned Volume 2 will cover usage of DP in other settings, including high-dimensional datasets, graph datasets, local setting, location privacy, and so on. We will also discuss various relaxations of DP.

Algorithmic foundations of differential privacy

Автор: Dwork, Cynthia Roth, Aaron
Название: Algorithmic foundations of differential privacy
ISBN: 1601988184 ISBN-13(EAN): 9781601988188
Издательство: Неизвестно
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Цена: 91040.00 T
Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: After motivating and discussing the meaning of differential privacy, this book focuses on fundamental techniques for achieving differential privacy, and application of these techniques in creative combinations, using the query-release problem as an example.

Differential Privacy and Applications

Автор: Tianqing Zhu; Gang Li; Wanlei Zhou; Philip S. Yu
Название: Differential Privacy and Applications
ISBN: 3319620029 ISBN-13(EAN): 9783319620022
Издательство: Springer
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Цена: 139750.00 T
Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: It provides an approachable strategy for researchers and engineers to implement differential privacy in real world applications.Early chapters are focused on two major directions, differentially private data publishing and differentially private data analysis.

Privacy and the Media

Автор: McStay A
Название: Privacy and the Media
ISBN: 1473924936 ISBN-13(EAN): 9781473924932
Издательство: Sage Publications
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Цена: 41170.00 T
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Описание: Providing a comprehensive overview of both the theory and reality of privacy and the media in the 21st Century, Privacy and the Media is not a polemic on privacy as `good` or `bad`, but a call to assess the detail and the potential implications of contemporary media technologies and practices.

The dark web :

Название: The dark web :
ISBN: 1522531637 ISBN-13(EAN): 9781522531630
Издательство: Turpin
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Цена: 389310.00 T
Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: In the digital era, the Internet has evolved into a ubiquitous aspect of modern society. With the prominence of the Dark Web, understanding the components of the Internet and its available content has become increasingly imperative.The Dark Web: Breakthroughs in Research and Practice is an innovative reference source for the latest scholarly material on the capabilities, trends, and developments surrounding the secrecy of the Dark Web. Highlighting a broad range of perspectives on topics such as cyber crime, online behavior, and hacking, this book is an ideal resource for researchers, academics, graduate students, and professionals interested in the Dark Web.


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