Cover Image

CurricuLLM: Designing Personalized and Workforce-Aligned Cybersecurity Curricula Using Fine-Tuned LLMs

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Nijdam, Arthur, Kähkönen, Harri, Niemi, Valtteri, Wagner, Paul Stankovski, Ramezanian, Sara
Format:	Preprint
Published:	2026
Subjects:	Cryptography and Security Artificial Intelligence
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

A Beyond-5G Authentication and Key Agreement Protocol
by: Damir, Mohamed Taoufiq, et al.
Published: (2022)

EAGER: Edge-Aligned LLM Defense for Robust, Efficient, and Accurate Cybersecurity Question Answering
by: Gungor, Onat, et al.
Published: (2025)

Abstraction of Trusted Execution Environments as the Missing Layer for Broad Confidential Computing Adoption: A Systematization of Knowledge
by: Michaud, Quentin, et al.
Published: (2025)

CurricuLLM: Automatic Task Curricula Design for Learning Complex Robot Skills using Large Language Models
by: Ryu, Kanghyun, et al.
Published: (2024)

AQUA-LLM: Evaluating Accuracy, Quantization, and Adversarial Robustness Trade-offs in LLMs for Cybersecurity Question Answering
by: Gungor, Onat, et al.
Published: (2025)

Evaluating LLM Generated Detection Rules in Cybersecurity
by: Bertiger, Anna, et al.
Published: (2025)

LLMs in Cybersecurity: Friend or Foe in the Human Decision Loop?
by: Pekaric, Irdin, et al.
Published: (2025)

Benign Fine-Tuning Breaks Safety Alignment in Audio LLMs
by: Roh, Jaechul, et al.
Published: (2026)

CyberLLM-FINDS 2025: Instruction-Tuned Fine-tuning of Domain-Specific LLMs with Retrieval-Augmented Generation and Graph Integration for MITRE Evaluation
by: Iyer, Vasanth, et al.
Published: (2026)

Enhancing Smart Contract Vulnerability Detection in DApps Leveraging Fine-Tuned LLM
by: Bu, Jiuyang, et al.
Published: (2025)

Hackphyr: A Local Fine-Tuned LLM Agent for Network Security Environments
by: Rigaki, Maria, et al.
Published: (2024)

Bridging Expertise Gaps: The Role of LLMs in Human-AI Collaboration for Cybersecurity
by: Tariq, Shahroz, et al.
Published: (2025)

Fine-Tuning Personalization in Federated Learning to Mitigate Adversarial Clients
by: Allouah, Youssef, et al.
Published: (2024)

Fine-Tuning, Quantization, and LLMs: Navigating Unintended Outcomes
by: Kumar, Divyanshu, et al.
Published: (2024)

When FinTech Meets Privacy: Securing Financial LLMs with Differential Private Fine-Tuning
by: Zhu, Sichen, et al.
Published: (2025)

Pruning for Protection: Increasing Jailbreak Resistance in Aligned LLMs Without Fine-Tuning
by: Hasan, Adib, et al.
Published: (2024)

From Promise to Peril: Rethinking Cybersecurity Red and Blue Teaming in the Age of LLMs
by: Abuadbba, Alsharif, et al.
Published: (2025)

Enhancing Cybersecurity in Critical Infrastructure with LLM-Assisted Explainable IoT Systems
by: Ghimire, Ashutosh, et al.
Published: (2025)

Cultivating Cybersecurity: Designing a Cybersecurity Curriculum for the Food and Agriculture Sector
by: Grispos, George, et al.
Published: (2025)

TrojanPraise: Jailbreak LLMs via Benign Fine-Tuning
by: Xie, Zhixin, et al.
Published: (2026)

Persistent Backdoor Attacks under Continual Fine-Tuning of LLMs
by: Cui, Jing, et al.
Published: (2025)

Structuring Security: A Survey of Cybersecurity Ontologies, Semantic Log Processing, and LLMs Application
by: Lourenço, Bruno, et al.
Published: (2025)

Cybersecurity AI: Evaluating Agentic Cybersecurity in Attack/Defense CTFs
by: Balassone, Francesco, et al.
Published: (2025)

Prompt Engineering vs. Fine-Tuning for LLM-Based Vulnerability Detection in Solana and Algorand Smart Contracts
by: Boi, Biagio, et al.
Published: (2025)

SafeTune: Mitigating Data Poisoning in LLM Fine-Tuning for RTL Code Generation
by: Rezakhani, Mahshid, et al.
Published: (2026)

Lorica: A Synergistic Fine-Tuning Framework for Advancing Personalized Adversarial Robustness
by: Qi, Tianyu, et al.
Published: (2025)

Boosting Cybersecurity Vulnerability Scanning based on LLM-supported Static Application Security Testing
by: Keltek, Mete, et al.
Published: (2024)

A Sociotechnical, Practitioner-Centered Approach to Technology Adoption in Cybersecurity Operations: An LLM Case
by: Hahn, Francis, et al.
Published: (2026)

Do Fine-Tuned LLMs Understand Vulnerabilities? An Investigation into the Semantic Trap
by: Huang, Feiyang, et al.
Published: (2026)

Differentiation-Based Extraction of Proprietary Data from Fine-Tuned LLMs
by: Li, Zongjie, et al.
Published: (2025)

Generative AI in Cybersecurity
by: Metta, Shivani, et al.
Published: (2024)

Space Cybersecurity Norms
by: Sharfman, Peter, et al.
Published: (2023)

What is Cybersecurity in Space?
by: Mattar, Charbel, et al.
Published: (2025)

Cybersecurity as a Service
by: Morris, John, et al.
Published: (2024)

Meta SecAlign: A Secure Foundation LLM Against Prompt Injection Attacks
by: Chen, Sizhe, et al.
Published: (2025)

NeuroStrike: Neuron-Level Attacks on Aligned LLMs
by: Wu, Lichao, et al.
Published: (2025)

PAE MobiLLM: Privacy-Aware and Efficient LLM Fine-Tuning on the Mobile Device via Additive Side-Tuning
by: Yang, Xingke, et al.
Published: (2025)

Cybersecurity AI Benchmark (CAIBench): A Meta-Benchmark for Evaluating Cybersecurity AI Agents
by: Sanz-Gómez, María, et al.
Published: (2025)

Fine-tuning of Large Language Models for Domain-Specific Cybersecurity Knowledge
by: Huang, Yuan
Published: (2025)

BugWhisperer: Fine-Tuning LLMs for SoC Hardware Vulnerability Detection
by: Tarek, Shams, et al.
Published: (2025)