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Large Language Models in Cybersecurity

Overview of attention for book
Large Language Models in Cybersecurity
Springer Nature Switzerland

Table of Contents

  1. Altmetric Badge
    Book Overview
  2. Altmetric Badge
    Chapter 1 From Deep Neural Language Models to LLMs
  3. Altmetric Badge
    Chapter 2 Adapting LLMs to Downstream Applications
  4. Altmetric Badge
    Chapter 3 Overview of Existing LLM Families
  5. Altmetric Badge
    Chapter 4 Conversational Agents
  6. Altmetric Badge
    Chapter 5 Fundamental Limitations of Generative LLMs
  7. Altmetric Badge
    Chapter 6 Tasks for LLMs and Their Evaluation
  8. Altmetric Badge
    Chapter 7 Private Information Leakage in LLMs
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    Chapter 8 Phishing and Social Engineering in the Age of LLMs
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    Chapter 9 Vulnerabilities Introduced by LLMs Through Code Suggestions
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    Chapter 10 LLM Controls Execution Flow Hijacking
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    Chapter 11 LLM-Aided Social Media Influence Operations
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    Chapter 12 Deep(er) Web Indexing with LLMs
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    Chapter 13 LLM Adoption Trends and Associated Risks
  15. Altmetric Badge
    Chapter 14 The Flow of Investments in the LLM Space
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    Chapter 15 Insurance Outlook for LLM-Induced Risk
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    Chapter 16 Copyright-Related Risks in the Creation and Use of ML/AI Systems
  18. Altmetric Badge
    Chapter 17 Monitoring Emerging Trends in LLM Research
  19. Altmetric Badge
    Chapter 18 Enhancing Security Awareness and Education for LLMs
  20. Altmetric Badge
    Chapter 19 Towards Privacy Preserving LLMs Training
  21. Altmetric Badge
    Chapter 20 Adversarial Evasion on LLMs
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    Chapter 21 Robust and Private Federated Learning on LLMs
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    Chapter 22 LLM Detectors
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    Chapter 23 On-Site Deployment of LLMs
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    Chapter 24 LLMs Red Teaming
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    Chapter 25 Standards for LLM Security
  27. Altmetric Badge
    Chapter 26 Exploring the Dual Role of LLMs in Cybersecurity: Threats and Defenses
  28. Altmetric Badge
    Chapter 27 Towards Safe LLMs Integration
Overall attention for this book and its chapters
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Title
Large Language Models in Cybersecurity
Published by
Springer Nature Switzerland, June 2024
DOI 10.1007/978-3-031-54827-7
ISBNs
978-3-03-154826-0, 978-3-03-154827-7
Editors

Kucharavy, Andrei, Plancherel, Octave, Mulder, Valentin, Mermoud, Alain, Lenders, Vincent

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 2 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 2 100%

Demographic breakdown

Readers by professional status Count As %
Student > Bachelor 1 50%
Student > Doctoral Student 1 50%
Readers by discipline Count As %
Philosophy 1 50%
Computer Science 1 50%

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