{"product_id":"guide-to-data-privacy-models-technologies-solutions-paperback","title":"Guide to Data Privacy: Models, Technologies, Solutions - Paperback","description":"\u003cdiv\u003e\u003cp style=\"text-align: right;\"\u003e\u003ca href=\"https:\/\/reportcopyrightinfringement.com\/\" target=\"_blank\" rel=\"nofollow\"\u003e\u003cb\u003eReport copyright infringement\u003c\/b\u003e\u003c\/a\u003e\u003c\/p\u003e\u003c\/div\u003e\u003cp\u003eby \u003cb\u003eVicenç Torra\u003c\/b\u003e (Author)\u003c\/p\u003e\u003cp\u003eData privacy technologies are essential for implementing information systems with privacy by design.\u003c\/p\u003e\u003cp\u003ePrivacy 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.\u003c\/p\u003e\u003cp\u003e\u003cb\u003eTopics and features: \u003c\/b\u003e\u003c\/p\u003e\u003cp\u003e\u003c\/p\u003e\u003cul\u003e\n\u003cli\u003eProvides integrated presentation of data privacy (including tools from statistical disclosure control, privacy-preserving data mining, and privacy for communications)\u003c\/li\u003e\n\u003cli\u003eDiscusses privacy requirements and tools for different types of scenarios, including privacy for data, for computations, and for users\u003c\/li\u003e\n\u003cli\u003eOffers characterization of privacy models, comparing their differences, advantages, and disadvantages\u003c\/li\u003e\n\u003cli\u003eDescribes some of the most relevant algorithms to implement privacy models\u003c\/li\u003e\n\u003cli\u003eIncludes examples of data protection mechanisms\u003c\/li\u003e\n\u003c\/ul\u003e\u003cp\u003e\u003c\/p\u003e\u003cp\u003e\u003c\/p\u003e\u003cp\u003eThis 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.\u003c\/p\u003e\u003cp\u003e\u003cb\u003eVicenç Torra\u003c\/b\u003e is Professor with the Department of Computing Science at Umeå University, Umeå, Sweden.\u003c\/p\u003e\u003ch3\u003eBack Jacket\u003c\/h3\u003e\u003cp\u003eData privacy technologies are essential for implementing information systems with privacy by design. \u003c\/p\u003e\u003cp\u003ePrivacy 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. \u003c\/p\u003e \u003cp\u003e\u003cb\u003eTopics and features: \u003c\/b\u003e\u003c\/p\u003e \u003cp\u003e\u003c\/p\u003e\u003cul\u003e\n\u003cli\u003eProvides integrated presentation of data privacy (including tools from statistical disclosure control, privacy-preserving data mining, and privacy for communications)\u003c\/li\u003e\n\u003cli\u003eDiscusses privacy requirements and tools for different types of scenarios, including privacy for data, for computations, and for users\u003c\/li\u003e\n\u003cli\u003eOffers characterization of privacy models, comparing their differences, advantages, and disadvantages\u003c\/li\u003e\n\u003cli\u003eDescribes some of the most relevant algorithms to implement privacy models\u003c\/li\u003e\n\u003cli\u003eIncludes examples of data protection mechanisms\u003c\/li\u003e\n\u003c\/ul\u003e\u003cp\u003e\u003c\/p\u003e\u003cp\u003e \u003c\/p\u003e \u003cp\u003eThis 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.\u003c\/p\u003e \u003cp\u003e\u003cb\u003eVicenç Torra\u003c\/b\u003e is Professor with the Department of Computing Science at Umeå University, Umeå, Sweden.\u003c\/p\u003e\u003ch3\u003eAuthor Biography\u003c\/h3\u003e\u003cp\u003e\u003cb\u003eVicenç Torra\u003c\/b\u003e is Professor with the Department of Computing Science at Umeå University, Umeå, Sweden. He is the Wallenberg Chair on AI at the university, as well as a fellow of IEEE and EurAI.\u003c\/p\u003e\n            \u003cdiv\u003e\n\u003cstrong\u003eNumber of Pages:\u003c\/strong\u003e 313\u003c\/div\u003e\n            \u003cdiv\u003e\n\u003cstrong\u003eDimensions:\u003c\/strong\u003e 0.69 x 9.21 x 6.14 IN\u003c\/div\u003e\n            \u003cdiv\u003e\n\u003cstrong\u003eIllustrated:\u003c\/strong\u003e Yes\u003c\/div\u003e\n            \u003cdiv\u003e\n\u003cstrong\u003ePublication Date:\u003c\/strong\u003e November 05, 2022\u003c\/div\u003e\n            ","brand":"BooksCloud","offers":[{"title":"Default Title","offer_id":52492181700915,"sku":"9783031128363","price":79.88,"currency_code":"USD","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0300\/5595\/6612\/files\/SUtwWFRJZ0VtdEZyZ2ludDU3VEMvQT09.webp?v=1759928466","url":"https:\/\/www.vysn.com\/products\/guide-to-data-privacy-models-technologies-solutions-paperback","provider":"VYSN","version":"1.0","type":"link"}