mlsanityData to 7 Oct 2026

LLMs for Cyber Security: New Opportunities

arXiv 2404.11338 ↗First posted 17 Apr 2024cs.CR cs.SEcited by 11

Not on the map. Why?

Abstract (arXiv)

Large language models (LLMs) are a class of powerful and versatile models that are beneficial to many industries. With the emergence of LLMs, we take a fresh look at cyber security, specifically exploring and summarizing the potential of LLMs in addressing challenging problems in the security and safety domains.

Key facts. Cited by 11 papers in the map (data through 7 Oct 2026). First posted on arXiv 17 Apr 2024.

Builds on

No reference list yet.

Built on by

Cited by year (2026 to 7 Oct)

Citing papers per year: 2024: 4; 2025: 5; 2026: 2.

11 papers.

  1. 2024Large Language Models for Cyber Security: A Systematic Literature Reviewcited by 65
  2. 2024Content Moderation by LLM: From Accuracy to Legitimacycited by 30
  3. 2024Hacking Back the AI-Hacker: Prompt Injection as a Defense Against LLM-driven Cyberattackscited by 15
  4. 2026Digital Red Queen: Adversarial Program Evolution in Core War with LLMscited by 7
  5. 2024Multimodal Large Language Models for Phishing Webpage Detection and Identificationcited by 6
  6. 2025LLM-Based Threat Detection and Prevention Framework for IoT Ecosystemscited by 6
  7. 2025From Trace to Line: LLM Agent for Real-World OSS Vulnerability Localizationcited by 4
  8. 2025Prompt Inject Detection with Generative Explanation as an Investigative Toolcited by 2
  9. 2025Adaptive Linguistic Prompting (ALP) Enhances Phishing Webpage Detection in Multimodal Large Language Modelscited by 0
  10. 2025Large Language Models in Cybersecurity: Applications, Vulnerabilities, and Defense Techniquescited by 0
  11. 2026Data-Efficient Adaptation of LLMs via Attention Head Reweightingcited by 0