:: Library Catalog

Cover Image

Saved in:

Bibliographic Details
Main Authors:	Hartsock, Alaric, Pereira, Luiz Manella, Fink, Glenn
Format:	Preprint
Published:	2024
Subjects:	Artificial Intelligence Cryptography and Security Machine Learning
Online Access:	https://arxiv.org/abs/2411.07089
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Large Language Models Are Unreliable for Cyber Threat Intelligence
by: Mezzi, Emanuele, et al.
Published: (2025)

CTINexus: Automatic Cyber Threat Intelligence Knowledge Graph Construction Using Large Language Models
by: Cheng, Yutong, et al.
Published: (2024)

Large Language Model Integration with Reinforcement Learning to Augment Decision-Making in Autonomous Cyber Operations
by: Tholl, Konur, et al.
Published: (2025)

Towards Production-Worthy Simulation for Autonomous Cyber Operations
by: Tholl, Konur, et al.
Published: (2025)

CySecBench: Generative AI-based CyberSecurity-focused Prompt Dataset for Benchmarking Large Language Models
by: Wahréus, Johan, et al.
Published: (2025)

Cyber Threat Detection and Vulnerability Assessment System using Generative AI and Large Language Model
by: M, Keerthi Kumar., et al.
Published: (2026)

The Application of Transformer-Based Models for Predicting Consequences of Cyber Attacks
by: Chhetri, Bipin, et al.
Published: (2025)

Modeling Behavioral Preferences of Cyber Adversaries Using Inverse Reinforcement Learning
by: Shinde, Aditya, et al.
Published: (2025)

Contextual Chart Generation for Cyber Deception
by: Nguyen, David D., et al.
Published: (2024)

GenDFIR: Advancing Cyber Incident Timeline Analysis Through Retrieval Augmented Generation and Large Language Models
by: Loumachi, Fatma Yasmine, et al.
Published: (2024)

TrafficLLM: Enhancing Large Language Models for Network Traffic Analysis with Generic Traffic Representation
by: Cui, Tianyu, et al.
Published: (2025)

An In-Depth Analysis of Cyber Attacks in Secured Platforms
by: Ozoh, Parick, et al.
Published: (2025)

Less is more? Rewards in RL for Cyber Defence
by: Bates, Elizabeth, et al.
Published: (2025)

XG-NID: Dual-Modality Network Intrusion Detection using a Heterogeneous Graph Neural Network and Large Language Model
by: Farrukh, Yasir Ali, et al.
Published: (2024)

Watermark Stealing in Large Language Models
by: Jovanović, Nikola, et al.
Published: (2024)

Privacy Auditing of Large Language Models
by: Panda, Ashwinee, et al.
Published: (2025)

Large Language Models in Wireless Application Design: In-Context Learning-enhanced Automatic Network Intrusion Detection
by: Zhang, Han, et al.
Published: (2024)

Model-based Large Language Model Customization as Service
by: Wu, Zhaomin, et al.
Published: (2024)

Out-of-Distribution Detection for Neurosymbolic Autonomous Cyber Agents
by: Samaddar, Ankita, et al.
Published: (2024)

Jailbreaking and Mitigation of Vulnerabilities in Large Language Models
by: Peng, Benji, et al.
Published: (2024)

Finetuning Large Language Models for Vulnerability Detection
by: Shestov, Alexey, et al.
Published: (2024)

Exploring the Secondary Risks of Large Language Models
by: Chen, Jiawei, et al.
Published: (2025)

Backdoor Attacks on Fault Detection and Localization in Cyber-Physical Systems
by: Jean, Abile, et al.
Published: (2026)

Prompt Injection Attacks on Large Language Models in Oncology
by: Clusmann, Jan, et al.
Published: (2024)

Information Theoretic Adversarial Training of Large Language Models
by: Zhang, Yiwei, et al.
Published: (2026)

Understanding the Effects of Safety Unalignment on Large Language Models
by: Halloran, John T.
Published: (2026)

Adaptive PII Mitigation Framework for Large Language Models
by: Asthana, Shubhi, et al.
Published: (2025)

A Survey on Model Extraction Attacks and Defenses for Large Language Models
by: Zhao, Kaixiang, et al.
Published: (2025)

Enhancing GraphQL Security by Detecting Malicious Queries Using Large Language Models, Sentence Transformers, and Convolutional Neural Networks
by: Perera, Irash, et al.
Published: (2025)

Optimizing Cyber Defense in Dynamic Active Directories through Reinforcement Learning
by: Goel, Diksha, et al.
Published: (2024)

Enhancing IoT Cyber Attack Detection in the Presence of Highly Imbalanced Data
by: Haque, Md. Ehsanul, et al.
Published: (2025)

Catastrophic Cyber Capabilities Benchmark (3CB): Robustly Evaluating LLM Agent Cyber Offense Capabilities
by: Anurin, Andrey, et al.
Published: (2024)

Securing Large Language Models: Threats, Vulnerabilities and Responsible Practices
by: Abdali, Sara, et al.
Published: (2024)

Permissioned LLMs: Enforcing Access Control in Large Language Models
by: Jayaraman, Bargav, et al.
Published: (2025)

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

Evaluating Large Language Models for Security Bug Report Prediction
by: Soltaniani, Farnaz, et al.
Published: (2026)

DMark: Order-Agnostic Watermarking for Diffusion Large Language Models
by: Wu, Linyu, et al.
Published: (2025)

SVIP: Towards Verifiable Inference of Open-source Large Language Models
by: Sun, Yifan, et al.
Published: (2024)

IRSKG: Unified Intrusion Response System Knowledge Graph Ontology for Cyber Defense
by: Panigrahi, Damodar, et al.
Published: (2024)

CyberGym: Evaluating AI Agents' Real-World Cybersecurity Capabilities at Scale
by: Wang, Zhun, et al.
Published: (2025)