{"product_id":"hands-on-differential-privacy-introduction-to-the-theory-and-practice-using-opendp-paperback","title":"Hands-On Differential Privacy: Introduction to the Theory and Practice Using Opendp - 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\u003eEthan Cowan\u003c\/b\u003e (Author), \u003cb\u003eMichael Shoemate\u003c\/b\u003e (Author), \u003cb\u003eMayana Pereira\u003c\/b\u003e (Author)\u003c\/p\u003e\u003cp\u003e\u003c\/p\u003e\u003cp\u003eMany organizations today analyze and share large, sensitive datasets about individuals. Whether these datasets cover healthcare details, financial records, or exam scores, it's become more difficult for organizations to protect an individual's information through deidentification, anonymization, and other traditional statistical disclosure limitation techniques. This practical book explains how differential privacy (DP) can help. \u003c\/p\u003e\u003cp\u003e Authors Ethan Cowan, Michael Shoemate, and Mayana Pereira explain how these techniques enable data scientists, researchers, and programmers to run statistical analyses that hide the contribution of any single individual. You'll dive into basic DP concepts and understand how to use open source tools to create differentially private statistics, explore how to assess the utility\/privacy trade-offs, and learn how to integrate differential privacy into workflows. \u003c\/p\u003e\u003cp\u003e With this book, you'll learn: \u003c\/p\u003e\u003cul\u003e \u003cli\u003eHow DP guarantees privacy when other data anonymization methods don't \u003c\/li\u003e\n\u003cli\u003eWhat preserving individual privacy in a dataset entails \u003c\/li\u003e\n\u003cli\u003eHow to apply DP in several real-world scenarios and datasets \u003c\/li\u003e\n\u003cli\u003ePotential privacy attack methods, including what it means to perform a reidentification attack \u003c\/li\u003e\n\u003cli\u003eHow to use the OpenDP library in privacy-preserving data releases \u003c\/li\u003e\n\u003cli\u003eHow to interpret guarantees provided by specific DP data releases \u003c\/li\u003e\n\u003c\/ul\u003e\n            \u003cdiv\u003e\n\u003cstrong\u003eNumber of Pages:\u003c\/strong\u003e 360\u003c\/div\u003e\n            \u003cdiv\u003e\n\u003cstrong\u003eDimensions:\u003c\/strong\u003e 0.75 x 9.19 x 7 IN\u003c\/div\u003e\n            \u003cdiv\u003e\n\u003cstrong\u003ePublication Date:\u003c\/strong\u003e June 25, 2024\u003c\/div\u003e\n            ","brand":"BooksCloud","offers":[{"title":"Default Title","offer_id":52494198374707,"sku":"9781492097747","price":86.99,"currency_code":"USD","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0300\/5595\/6612\/files\/nqRIzGuDVI9781492097747.webp?v=1759974894","url":"https:\/\/www.vysn.com\/products\/hands-on-differential-privacy-introduction-to-the-theory-and-practice-using-opendp-paperback","provider":"VYSN","version":"1.0","type":"link"}