000			00993nam a22002297a 4500
005			20260616103048.0
008			260616s2026 |||||||| |||| 00| 0 eng d
020			_a9781098160845
040			_cPK-LaUMT
082			_a005.8 _bLIN-P
100	1		_aLin, Baihan _912914
245	1	0	_aPrivacy and security for large language models : _bhands-on privacy-preserving techniques for personalized AI / _cBaihan Lin
260			_aSanta Rosa : _bO'Reilly Media Inc., _c2026
300			_axx, 293 p.
500			_aIndex present
520			_aAs the deployment of AI technologies surges, the need to safeguard privacy and security in the use of large language models (LLMs) is more crucial than ever.Professionals face the challenge of leveraging the immense power of LLMs for personalized applications while ensuring stringent data privacy and security
546			_aEng
650			_aComputer security
650			_aAI-security measures _912915
650			_aData protection _95011
942			_cBK
999			_c141191 _d141191