000			02271cam a22003977i 4500
001			21044
003			OSt
005			20250126084835.0
008			231019s2023 caua 001 0 eng d
020			_a1098129466
020			_a9781098129460
040			_aYDX _beng _erda _cYDX _dBDX _dJRZ _dOCLCF _dINTCL _dOCLCO _dDLC _dIQ-MoCLU
082	0	4	_a005.8 _223 _bJ37
100	1		_aJarmul, Katharine, _eauthor.
245	1	0	_aPractical data privacy : _benhancing privacy and security in data / _cKatharine Jarmul.
250			_aFirst edition.
264		1	_aSebastopol, CA : _bO'Reilly Media, _c2023.
300			_axxviii, 315 pages : _billustrations ; _c24 cm
336			_atext _btxt _2rdacontent
337			_aunmediated _bn _2rdamedia
338			_avolume _bnc _2rdacarrier
500			_aIncludes index.
505	0		_aData governance and simple privacy approaches -- Anonymization -- Building privacy into data pipelines -- Privacy attacks -- Privacy-aware machine learning and data science -- Federated learning and data science -- Encrypted computation -- Navigating the legal side of privacy -- Privacy and practicality considerations -- Frequently asked questions (and their answers!) -- Go forth and engineer privacy!
520			_aBetween 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.
650		0	_aData protection.
650		0	_aComputer software _xSecurity measures.
650		0	_aPrivacy, Right of.
650		6	_aProtection de l'information (Informatique)
650		6	_aLogiciels _xSécurité _xMesures.
650		7	_aComputer software _xSecurity measures _2fast
650		7	_aData protection _2fast
650		7	_aPrivacy, Right of _2fast
910			_aSAJA
942			_2ddc _cBK
999			_c21044 _d21044