Imagen de Portada

AutoAttacker: A Large Language Model Guided System to Implement Automatic Cyber-attacks

Fuente: arXiv

Guardado en:

Detalles Bibliográficos
Autores principales:	Xu, Jiacen, Stokes, Jack W., McDonald, Geoff, Bai, Xuesong, Marshall, David, Wang, Siyue, Swaminathan, Adith, Li, Zhou
Formato:	Preprint
Publicado:	2024
Materias:	Cryptography and Security Artificial Intelligence
Acceso en línea:	Acceder al recurso
Etiquetas:	Agregar Etiqueta Sin Etiquetas, Sea el primero en etiquetar este registro!

Ejemplares similares

Whisper Leak: a side-channel attack on Large Language Models
por: McDonald, Geoff, et al.
Publicado: (2025)

Detecting AutoAttack Perturbations in the Frequency Domain
por: Lorenz, Peter, et al.
Publicado: (2021)

Is RobustBench/AutoAttack a suitable Benchmark for Adversarial Robustness?
por: Lorenz, Peter, et al.
Publicado: (2021)

A Descriptive Model for Modelling Attacker Decision-Making in Cyber-Deception
por: Turner, B. R., et al.
Publicado: (2025)

Network Simulation with Complex Cyber-attack Scenarios
por: Dias, Tiago, et al.
Publicado: (2024)

Next-Generation Phishing: How LLM Agents Empower Cyber Attackers
por: Afane, Khalifa, et al.
Publicado: (2024)

Uplifted Attackers, Human Defenders: The Cyber Offense-Defense Balance for Trailing-Edge Organizations
por: Murphy, Benjamin, et al.
Publicado: (2025)

Attacker Control and Bug Prioritization
por: Lacombe, Guilhem, et al.
Publicado: (2025)

Entente: Cross-silo Intrusion Detection on Network Log Graphs with Federated Learning
por: Xu, Jiacen, et al.
Publicado: (2025)

Flying Drones to Locate Cyber-Attackers in LoRaWAN Metropolitan Networks
por: Repetto, Matteo, et al.
Publicado: (2025)

ARCANE: Cross-Campaign Attacker Re-identification via Passive Beacon Telemetry -- A Bayesian Network Framework for Longitudinal Cyber Attribution
por: Weinberg, Abraham Itzhak
Publicado: (2026)

Large Language Models for Cyber Security
por: Somani, Raunak, et al.
Publicado: (2025)

Defending Against Intelligent Attackers at Large Scales
por: Lohn, Andrew J.
Publicado: (2025)

Large Language Models are Good Attackers: Efficient and Stealthy Textual Backdoor Attacks
por: Li, Ziqiang, et al.
Publicado: (2024)

Cyber-attack TTP analysis for EPES systems
por: Lekidis, Alexios
Publicado: (2023)

LLMAtKGE: Large Language Models as Explainable Attackers against Knowledge Graph Embeddings
por: Li, Ting, et al.
Publicado: (2025)

Towards Centralized Orchestration of Cyber Protection Condition (CPCON)
por: Timmons, Mark, et al.
Publicado: (2025)

Forecasting Attacker Actions using Alert-driven Attack Graphs
por: Băbălău, Ion, et al.
Publicado: (2024)

Attackers reveal their arsenal: An investigation of adversarial techniques in CTI reports
por: Rahman, Md Rayhanur, et al.
Publicado: (2024)

AutoCRAT: Automatic Cumulative Reconstruction of Alert Trees
por: Ficke, Eric, et al.
Publicado: (2024)

HoneyTrap: Deceiving Large Language Model Attackers to Honeypot Traps with Resilient Multi-Agent Defense
por: Li, Siyuan, et al.
Publicado: (2026)

From Alerts to Intelligence: A Novel LLM-Aided Framework for Host-based Intrusion Detection
por: Sun, Danyu, et al.
Publicado: (2025)

ToDA: Target-oriented Diffusion Attacker against Recommendation System
por: Liu, Xiaohao, et al.
Publicado: (2024)

CS-Eval: A Comprehensive Large Language Model Benchmark for CyberSecurity
por: Yu, Zhengmin, et al.
Publicado: (2024)

Selfish Mining in Multi-Attacker Scenarios: An Empirical Evaluation of Nakamoto, Fruitchain, and Strongchain
por: Perešíni, Martin, et al.
Publicado: (2026)

AutoIoT: Automated IoT Platform Using Large Language Models
por: Cheng, Ye, et al.
Publicado: (2024)

A Comprehensive Overview of Large Language Models (LLMs) for Cyber Defences: Opportunities and Directions
por: Hassanin, Mohammed, et al.
Publicado: (2024)

Quantum Disruption: An SOK of How Post-Quantum Attackers Reshape Blockchain Security and Performance
por: Mallick, Tushin, et al.
Publicado: (2025)

A Game Between the Defender and the Attacker for Trigger-based Black-box Model Watermarking
por: Huang, Chaoyue, et al.
Publicado: (2025)

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

MER-Inspector: Assessing model extraction risks from an attack-agnostic perspective
por: Zhang, Xinwei, et al.
Publicado: (2025)

SEvenLLM: Benchmarking, Eliciting, and Enhancing Abilities of Large Language Models in Cyber Threat Intelligence
por: Ji, Hangyuan, et al.
Publicado: (2024)

CyLens: Towards Reinventing Cyber Threat Intelligence in the Paradigm of Agentic Large Language Models
por: Liu, Xiaoqun, et al.
Publicado: (2025)

Auto-RT: Automatic Jailbreak Strategy Exploration for Red-Teaming Large Language Models
por: Liu, Yanjiang, et al.
Publicado: (2025)

Revisiting the attacker's knowledge in inference attacks against Searchable Symmetric Encryption
por: Damie, Marc, et al.
Publicado: (2025)

AutoFirm: Automatically Identifying Reused Libraries inside IoT Firmware at Large-Scale
por: Chen, YongLe, et al.
Publicado: (2024)

Towards Effective Identification of Attack Techniques in Cyber Threat Intelligence Reports using Large Language Models
por: Nguyen, Hoang Cuong, et al.
Publicado: (2025)

PLLM-CS: Pre-trained Large Language Model (LLM) for Cyber Threat Detection in Satellite Networks
por: Hassanin, Mohammed, et al.
Publicado: (2024)

CyberRAG: An Agentic RAG cyber attack classification and reporting tool
por: Blefari, Francesco, et al.
Publicado: (2025)

Policy-Value Guided MDP-MCTS Framework for Cyber Kill-Chain Inference
por: Singh, Chitraksh, et al.
Publicado: (2025)