<?xml version="1.0" encoding="UTF-8"?>
<mods xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" xmlns="http://www.loc.gov/mods/v3" version="3.1" xsi:schemaLocation="http://www.loc.gov/mods/v3 http://www.loc.gov/standards/mods/v3/mods-3-1.xsd">
  <titleInfo>
    <title>Privacy and security for large language models</title>
    <subTitle>hands-on privacy-preserving techniques for personalized AI</subTitle>
  </titleInfo>
  <name type="personal">
    <namePart>Lin, Baihan</namePart>
    <role>
      <roleTerm authority="marcrelator" type="text">creator</roleTerm>
    </role>
  </name>
  <typeOfResource>text</typeOfResource>
  <originInfo>
    <place>
      <placeTerm type="text">Santa Rosa</placeTerm>
    </place>
    <publisher>O'Reilly Media Inc.</publisher>
    <dateIssued>2026</dateIssued>
    <issuance>monographic</issuance>
  </originInfo>
  <language>
    <languageTerm authority="iso639-2b" type="code">eng</languageTerm>
  </language>
  <physicalDescription>
    <form authority="marcform">print</form>
    <extent>xx, 293 p.</extent>
  </physicalDescription>
  <abstract>As 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</abstract>
  <note type="statement of responsibility">Baihan Lin</note>
  <note>Index present</note>
  <note>Eng</note>
  <subject>
    <topic>Computer security</topic>
  </subject>
  <subject>
    <topic>AI-security measures</topic>
  </subject>
  <subject>
    <topic>Data protection</topic>
  </subject>
  <classification authority="ddc">005.8 LIN-P</classification>
  <identifier type="isbn">9781098160845</identifier>
  <recordInfo>
    <recordContentSource authority="marcorg"/>
    <recordCreationDate encoding="marc">260616</recordCreationDate>
    <recordChangeDate encoding="iso8601">20260616103048.0</recordChangeDate>
  </recordInfo>
</mods>
