Buchumschlag

From Texts to Shields: Convergence of Large Language Models and Cybersecurity

Fuente: arXiv

Gespeichert in:

Bibliographische Detailangaben
Hauptverfasser:	Li, Tao, Yang, Ya-Ting, Pan, Yunian, Zhu, Quanyan
Format:	Preprint
Veröffentlicht:	2025
Schlagworte:	Cryptography and Security Artificial Intelligence
Online-Zugang:	Acceder al recurso
Tags:	Tag hinzufügen Keine Tags, Fügen Sie den ersten Tag hinzu!

Ähnliche Einträge

Differential Privacy in Generative AI Agents: Analysis and Optimal Tradeoffs
von: Yang, Ya-Ting, et al.
Veröffentlicht: (2026)

Agentic AI for Cyber Resilience: A New Security Paradigm and Its System-Theoretic Foundations
von: Li, Tao, et al.
Veröffentlicht: (2025)

Game Theory Meets LLM and Agentic AI: Reimagining Cybersecurity for the Age of Intelligent Threats
von: Zhu, Quanyan
Veröffentlicht: (2025)

A Survey of Large Language Models in Cybersecurity
von: da Silva, Gabriel de Jesus Coelho, et al.
Veröffentlicht: (2024)

Symbiotic Game and Foundation Models for Cyber Deception Operations in Strategic Cyber Warfare
von: Li, Tao, et al.
Veröffentlicht: (2024)

Crimson: Empowering Strategic Reasoning in Cybersecurity through Large Language Models
von: Jin, Jiandong, et al.
Veröffentlicht: (2024)

AdaShield: Safeguarding Multimodal Large Language Models from Structure-based Attack via Adaptive Shield Prompting
von: Wang, Yu, et al.
Veröffentlicht: (2024)

Collaborative Intelligence: Topic Modelling of Large Language Model use in Live Cybersecurity Operations
von: Lochner, Martin, et al.
Veröffentlicht: (2025)

Adapting Large Language Models to Emerging Cybersecurity using Retrieval Augmented Generation
von: Borah, Arnabh, et al.
Veröffentlicht: (2025)

PiCo: Jailbreaking Multimodal Large Language Models via Pictorial Code Contextualization
von: Liu, Aofan, et al.
Veröffentlicht: (2025)

CyberEvolver: Structured Self-Evolution for Cybersecurity Agents On the Fly
von: Fan, Yihe, et al.
Veröffentlicht: (2026)

LLM-Stackelberg Games: Conjectural Reasoning Equilibria and Their Applications to Spearphishing
von: Zhu, Quanyan
Veröffentlicht: (2025)

Multi-Stage Retrieval for Operational Technology Cybersecurity Compliance Using Large Language Models: A Railway Casestudy
von: Bolton, Regan, et al.
Veröffentlicht: (2025)

Large Language Models in Cybersecurity: Applications, Vulnerabilities, and Defense Techniques
von: Jaffal, Niveen O., et al.
Veröffentlicht: (2025)

SECURE: Benchmarking Large Language Models for Cybersecurity
von: Bhusal, Dipkamal, et al.
Veröffentlicht: (2024)

StruPhantom: Evolutionary Injection Attacks on Black-Box Tabular Agents Powered by Large Language Models
von: Feng, Yang, et al.
Veröffentlicht: (2025)

Measuring Physical-World Privacy Awareness of Large Language Models: An Evaluation Benchmark
von: Shen, Xinjie, et al.
Veröffentlicht: (2025)

Like a Hammer, It Can Build, It Can Break: Large Language Model Uses, Perceptions, and Adoption in Cybersecurity Operations on Reddit
von: Nath, Souradip, et al.
Veröffentlicht: (2026)

When LLMs Meet Cybersecurity: A Systematic Literature Review
von: Zhang, Jie, et al.
Veröffentlicht: (2024)

Text Steganography with Dynamic Codebook and Multimodal Large Language Model
von: Gao, Jianxin, et al.
Veröffentlicht: (2026)

A Content-Based Framework for Cybersecurity Refusal Decisions in Large Language Models
von: Linder, Noa, et al.
Veröffentlicht: (2026)

Large Language Models in Cybersecurity: State-of-the-Art
von: Motlagh, Farzad Nourmohammadzadeh, et al.
Veröffentlicht: (2024)

Large Language Models for Cyber Security: A Systematic Literature Review
von: Xu, Hanxiang, et al.
Veröffentlicht: (2024)

In-Context Autonomous Network Incident Response: An End-to-End Large Language Model Agent Approach
von: Gao, Yiran, et al.
Veröffentlicht: (2026)

Toward Cybersecurity-Expert Small Language Models
von: Levi, Matan, et al.
Veröffentlicht: (2025)

Data Provenance Auditing of Fine-Tuned Large Language Models with a Text-Preserving Technique
von: Li, Yanming, et al.
Veröffentlicht: (2025)

CryptoX : Compositional Reasoning Evaluation of Large Language Models
von: Shi, Jiajun, et al.
Veröffentlicht: (2025)

Less Is More -- Until It Breaks: Security Pitfalls of Vision Token Compression in Large Vision-Language Models
von: Zhang, Xiaomei, et al.
Veröffentlicht: (2026)

A First Order Meta Stackelberg Method for Robust Federated Learning (Technical Report)
von: Li, Henger, et al.
Veröffentlicht: (2023)

From Legacy to Standard: LLM-Assisted Transformation of Cybersecurity Playbooks into CACAO Format
von: Gurabi, Mehdi Akbari, et al.
Veröffentlicht: (2025)

Fundamental Risks in the Current Deployment of General-Purpose AI Models: What Have We (Not) Learnt From Cybersecurity?
von: Fritz, Mario
Veröffentlicht: (2024)

StealthInk: A Multi-bit and Stealthy Watermark for Large Language Models
von: Jiang, Ya, et al.
Veröffentlicht: (2025)

Inducing Overthink: Hierarchical Genetic Algorithm-based DoS Attack on Black-Box Large Language Reasoning Models
von: Wang, Shuqiang, et al.
Veröffentlicht: (2026)

Weaponizing Language Models for Cybersecurity Offensive Operations: Automating Vulnerability Assessment Report Validation; A Review Paper
von: Almuhaidib, Abdulrahman S, et al.
Veröffentlicht: (2025)

Dynamic Risk Assessments for Offensive Cybersecurity Agents
von: Wei, Boyi, et al.
Veröffentlicht: (2025)

MEGA-PT: A Meta-Game Framework for Agile Penetration Testing
von: Ge, Yunfei, et al.
Veröffentlicht: (2024)

Integrative Approaches in Cybersecurity and AI
von: Omar, Marwan
Veröffentlicht: (2024)

CryptoTensors: A Light-Weight Large Language Model File Format for Highly-Secure Model Distribution
von: Zhu, Huifeng, et al.
Veröffentlicht: (2025)

CryptoScope: Utilizing Large Language Models for Automated Cryptographic Logic Vulnerability Detection
von: Li, Zhihao, et al.
Veröffentlicht: (2025)

Poster: SpiderSim: Multi-Agent Driven Theoretical Cybersecurity Simulation for Industrial Digitalization
von: Li, Jiaqi, et al.
Veröffentlicht: (2025)