Guide to Data Privacy : Models, Technologies, Solutions
Language: English
Published by Springer 2022-11, 2022
Series: Book 85 of 99 - Undergraduate Topics in Computer Science
- Softcover
- New
Seller: Chiron Media, Wallingford, United KingdomChiron Media
AbeBooks seller since August 2, 2010
Condition: New
£ 37.35
Quantity: 20 available
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This item is printed on demand. Brand new book, sourced directly from publisher. Dispatch time is 6-7 days from our warehouse. Book will be sent in robust, secure packaging to ensure it reaches you securely.
Seller Inventory # 6666-IUK-9783031128363
- Title
- Guide to Data Privacy : Models, Technologies, Solutions
- Author
- Torra, Vicenc||
- Publisher
- Springer 2022-11
- Publication year
- 2022
- Condition
- New
- Binding
- PF
- Language
- English
- ISBN 10
- 3031128362
- ISBN 13
- 9783031128363
- Series
- Book 85 of 99: Undergraduate Topics in Computer Science
Privacy technologies clearly are needed for ensuring that data does not lead to disclosure, but also that statistics or even data-driven machine learning models do not lead to disclosure. For example, can a deep-learning model be attacked to discover that sensitive data has been used for its training? This accessible textbook presents privacy models, computational definitions of privacy, and methods to implement them. Additionally, the book explains and gives plentiful examples of how to implement―among other models―differential privacy, k-anonymity, and secure multiparty computation.
Topics and features:
- Provides integrated presentation of data privacy (including tools from statistical disclosure control, privacy-preserving data mining, and privacy for communications)
- Discusses privacy requirements and tools fordifferent types of scenarios, including privacy for data, for computations, and for users
- Offers characterization of privacy models, comparing their differences, advantages, and disadvantages
- Describes some of the most relevant algorithms to implement privacy models
- Includes examples of data protection mechanisms
This unique textbook/guide contains numerous examples and succinctly and comprehensively gathers the relevant information. As such, it will be eminently suitable for undergraduate and graduate students interested in data privacy, as well as professionals wanting a concise overview.
Vicenç Torra is Professor with the Department of Computing Science at Umeå University, Umeå, Sweden.
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Chiron Media
Wallingford, United Kingdom
AbeBooks seller since August 2, 2010
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