Image de couverture de livre

Large Language Models in Cybersecurity: State-of-the-Art

Fuente: arXiv

Enregistré dans:

Détails bibliographiques
Auteurs principaux:	Motlagh, Farzad Nourmohammadzadeh, Hajizadeh, Mehrdad, Majd, Mehryar, Najafi, Pejman, Cheng, Feng, Meinel, Christoph
Format:	Preprint
Publié:	2024
Sujets:	Cryptography and Security Artificial Intelligence Computation and Language Machine Learning
Accès en ligne:	Acceder al recurso
Tags:	Ajouter un tag Pas de tags, Soyez le premier à ajouter un tag!

Documents similaires

When Prompts Become Payloads: A Framework for Mitigating SQL Injection Attacks in Large Language Model-Driven Applications
par: Motlagh, Farzad Nourmohammadzadeh, et autres
Publié: (2026)

Eliciting and Analyzing Emergent Misalignment in State-of-the-Art Large Language Models
par: Panpatil, Siddhant, et autres
Publié: (2025)

A Content-Based Framework for Cybersecurity Refusal Decisions in Large Language Models
par: Linder, Noa, et autres
Publié: (2026)

Toward Cybersecurity-Expert Small Language Models
par: Levi, Matan, et autres
Publié: (2025)

Large Language Models in Cybersecurity: Applications, Vulnerabilities, and Defense Techniques
par: Jaffal, Niveen O., et autres
Publié: (2025)

Machine Unlearning of Pre-trained Large Language Models
par: Yao, Jin, et autres
Publié: (2024)

Neuro-Symbolic AI for Cybersecurity: State of the Art, Challenges, and Opportunities
par: Hakim, Safayat Bin, et autres
Publié: (2025)

Cybench: A Framework for Evaluating Cybersecurity Capabilities and Risks of Language Models
par: Zhang, Andy K., et autres
Publié: (2024)

FIT to Forget: Robust Continual Unlearning for Large Language Models
par: Xu, Xiaoyu, et autres
Publié: (2026)

Unlocking Memorization in Large Language Models with Dynamic Soft Prompting
par: Wang, Zhepeng, et autres
Publié: (2024)

A Survey of Large Language Models in Cybersecurity
par: da Silva, Gabriel de Jesus Coelho, et autres
Publié: (2024)

Instructional Fingerprinting of Large Language Models
par: Xu, Jiashu, et autres
Publié: (2024)

The Janus Interface: How Fine-Tuning in Large Language Models Amplifies the Privacy Risks
par: Chen, Xiaoyi, et autres
Publié: (2023)

Duwak: Dual Watermarks in Large Language Models
par: Zhu, Chaoyi, et autres
Publié: (2024)

Jailbreaking Large Language Models with Symbolic Mathematics
par: Bethany, Emet, et autres
Publié: (2024)

The Resurgence of GCG Adversarial Attacks on Large Language Models
par: Tan, Yuting, et autres
Publié: (2025)

On the Role of Attention Heads in Large Language Model Safety
par: Zhou, Zhenhong, et autres
Publié: (2024)

EnJa: Ensemble Jailbreak on Large Language Models
par: Zhang, Jiahao, et autres
Publié: (2024)

Interpreting the Repeated Token Phenomenon in Large Language Models
par: Yona, Itay, et autres
Publié: (2025)

BountyBench: Dollar Impact of AI Agent Attackers and Defenders on Real-World Cybersecurity Systems
par: Zhang, Andy K., et autres
Publié: (2025)

An Interpretable N-gram Perplexity Threat Model for Large Language Model Jailbreaks
par: Boreiko, Valentyn, et autres
Publié: (2024)

Adversarial Vulnerabilities in Large Language Models for Time Series Forecasting
par: Liu, Fuqiang, et autres
Publié: (2024)

OBLIVIATE: Robust and Practical Machine Unlearning for Large Language Models
par: Xu, Xiaoyu, et autres
Publié: (2025)

Probing the Robustness of Large Language Models Safety to Latent Perturbations
par: Gu, Tianle, et autres
Publié: (2025)

Learnable Privacy Neurons Localization in Language Models
par: Chen, Ruizhe, et autres
Publié: (2024)

SecureBERT 2.0: Advanced Language Model for Cybersecurity Intelligence
par: Aghaei, Ehsan, et autres
Publié: (2025)

Time Travel in LLMs: Tracing Data Contamination in Large Language Models
par: Golchin, Shahriar, et autres
Publié: (2023)

Detecting Training Data of Large Language Models via Expectation Maximization
par: Kim, Gyuwan, et autres
Publié: (2024)

SVIP: Towards Verifiable Inference of Open-source Large Language Models
par: Sun, Yifan, et autres
Publié: (2024)

PostMark: A Robust Blackbox Watermark for Large Language Models
par: Chang, Yapei, et autres
Publié: (2024)

Adversarial Text Purification: A Large Language Model Approach for Defense
par: Moraffah, Raha, et autres
Publié: (2024)

Obliviate: Efficient Unmemorization for Protecting Intellectual Property in Large Language Models
par: Russinovich, Mark, et autres
Publié: (2025)

Instructions as Backdoors: Backdoor Vulnerabilities of Instruction Tuning for Large Language Models
par: Xu, Jiashu, et autres
Publié: (2023)

PAL: Proxy-Guided Black-Box Attack on Large Language Models
par: Sitawarin, Chawin, et autres
Publié: (2024)

Jailbreak Attacks and Defenses Against Large Language Models: A Survey
par: Yi, Sibo, et autres
Publié: (2024)

From Texts to Shields: Convergence of Large Language Models and Cybersecurity
par: Li, Tao, et autres
Publié: (2025)

Rethinking Jailbreak Detection of Large Vision Language Models with Representational Contrastive Scoring
par: Hua, Peichun, et autres
Publié: (2025)

Preserving Privacy in Large Language Models: A Survey on Current Threats and Solutions
par: Miranda, Michele, et autres
Publié: (2024)

RECAP: A Resource-Efficient Method for Adversarial Prompting in Large Language Models
par: Chugh, Rishit
Publié: (2026)

SALAD-Bench: A Hierarchical and Comprehensive Safety Benchmark for Large Language Models
par: Li, Lijun, et autres
Publié: (2024)