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|a 1098129431
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|a 9781098129422
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|a 9781098129439
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4 |
|a QA76.9.A25
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100 |
1 |
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|a Jarmul, Katharine
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245 |
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|a Practical data privacy
|b enhancing privacy and security in data
|c Katharine Jarmul
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250 |
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|a First edition
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260 |
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|a Sebastopol, CA
|b O'Reilly Media, Inc.
|c 2023
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300 |
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|a 344 pages
|b illustrations
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653 |
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|a Data protection / fast
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|a Computer software / Security measures / fast
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|a Privacy, Right of / http://id.loc.gov/authorities/subjects/sh85107029
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653 |
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|a Data protection / http://id.loc.gov/authorities/subjects/sh85035859
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653 |
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|a Privacy, Right of / fast
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653 |
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|a Logiciels / Sécurité / Mesures
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653 |
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|a Computer software / Security measures
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653 |
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|a Protection de l'information (Informatique)
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041 |
0 |
7 |
|a eng
|2 ISO 639-2
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989 |
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|b OREILLY
|a O'Reilly
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500 |
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|a Includes index
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776 |
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|z 9781098129439
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776 |
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|z 9781098129422
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|z 1098129423
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776 |
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|z 1098129431
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|z 9781098129460
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|z 1098129466
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856 |
4 |
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|u https://learning.oreilly.com/library/view/~/9781098129453/?ar
|x Verlag
|3 Volltext
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|a 005.8
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520 |
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|a Between major privacy regulations like the GDPR and CCPA and expensive and notorious data breaches, there has never been so much pressure to ensure data privacy. Unfortunately, integrating privacy into data systems is still complicated. This essential guide will give you a fundamental understanding of modern privacy building blocks, like differential privacy, federated learning, and encrypted computation. Based on hard-won lessons, this book provides solid advice and best practices for integrating breakthrough privacy-enhancing technologies into production systems
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