rdf-syntax-grammar
mods:
  schema location: http://www.loc.gov/mods/v3 http://www.loc.gov/standards/mods/v3/mods-3-2.xsd
  title info:
    title: Securing large language models against emerging threats
  name:
    name part: Zangana, Hewa Majeed
    name part: 1987-
    role:
      role term: editor.
  name:
    name part: Omar, Marwan
    name part: 1982-
    role:
      role term: editor.
  name:
    name part: IGI Global Online
  type of resource: text
  genre: Electronic books.
  origin info:
    place:
      place term: pau
    date issued: 2026
    issuance: monographic
  language:
    language term: eng
  physical description:
    form: remote
    extent: 1 online resource.
  table of contents: Adversarial threats and vulnerabilities in large language models / Hewa Zangana, Marwan Omar -- Legal and policy frameworks for securing large language models / Dilshad Mhia-alddin -- Leveraging LLMs for financial fraud detection and secure auditing / Syed Raza -- Data poisoning in LLM training pipelines detection and mitigation / Rebet Jones -- Misuse of LLMs in cybercrime and countermeasures / Luay Albtosh -- Prompt injection attacks risks and defense mechanisms / Rebet Jones -- Red teaming and stress-testing methodologies for LLM security / Luay Albtosh.
  note: [edited by] Hewa Majeed Zangana, Marwan Omar.
  subject:
    topic: Deep learning (Machine learning)
    topic: Security measures
  subject:
    topic: Apprentissage profond
    topic: Sécurité
    topic: Mesures
  classification: Q325.73 .S43 2026
  classification: 006.31
  related item:
    identifier: (OCoLC)1550577075
  identifier: 9798337371368
  identifier: 9798337371351
  identifier: 9798337371344
  identifier: 9798337371337
  identifier: http://proxy.library.tamu.edu/login
  record info:
    record content source: YDX
    record creation date: 251123
    record change date: 20251214142030.4
    record identifier: in00005693126
    language of cataloging:
      language term: eng