Buchumschlag

Multi-Agent Collaboration in Incident Response with Large Language Models

Fuente: arXiv

Gespeichert in:

Bibliographische Detailangaben
1. Verfasser:	Liu, Zefang
Format:	Preprint
Veröffentlicht:	2024
Schlagworte:	Computation and Language Cryptography and Security
Online-Zugang:	Acceder al recurso
Tags:	Tag hinzufügen Keine Tags, Fügen Sie den ersten Tag hinzu!

Ähnliche Einträge

AutoBnB-RAG: Enhancing Multi-Agent Incident Response with Retrieval-Augmented Generation
von: Liu, Zefang, et al.
Veröffentlicht: (2025)

AgentBnB: A Browser-Based Cybersecurity Tabletop Exercise with Large Language Model Support and Retrieval-Aligned Scaffolding
von: Anwar, Arman, et al.
Veröffentlicht: (2025)

InjecAgent: Benchmarking Indirect Prompt Injections in Tool-Integrated Large Language Model Agents
von: Zhan, Qiusi, et al.
Veröffentlicht: (2024)

Is the Digital Forensics and Incident Response Pipeline Ready for Text-Based Threats in LLM Era?
von: Bhandarkar, Avanti, et al.
Veröffentlicht: (2024)

Privacy-R1: Privacy-Aware Multi-LLM Agent Collaboration via Reinforcement Learning
von: Hui, Zheng, et al.
Veröffentlicht: (2025)

Simulate and Eliminate: Revoke Backdoors for Generative Large Language Models
von: Li, Haoran, et al.
Veröffentlicht: (2024)

Copyright Traps for Large Language Models
von: Meeus, Matthieu, et al.
Veröffentlicht: (2024)

RedAgent: Red Teaming Large Language Models with Context-aware Autonomous Language Agent
von: Xu, Huiyu, et al.
Veröffentlicht: (2024)

Resource Consumption Red-Teaming for Large Vision-Language Models
von: Gao, Haoran, et al.
Veröffentlicht: (2025)

Privacy-Preserving Parameter-Efficient Fine-Tuning for Large Language Model Services
von: Li, Yansong, et al.
Veröffentlicht: (2023)

IRCopilot: Automated Incident Response with Large Language Models
von: Lin, Xihuan, et al.
Veröffentlicht: (2025)

Large Language Models as Carriers of Hidden Messages
von: Hoscilowicz, Jakub, et al.
Veröffentlicht: (2024)

Yet Another Watermark for Large Language Models
von: Bao, Siyuan, et al.
Veröffentlicht: (2025)

Token-Level Privacy in Large Language Models
von: Harel, Re'em, et al.
Veröffentlicht: (2025)

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

Don't Listen To Me: Understanding and Exploring Jailbreak Prompts of Large Language Models
von: Yu, Zhiyuan, et al.
Veröffentlicht: (2024)

S-Eval: Towards Automated and Comprehensive Safety Evaluation for Large Language Models
von: Yuan, Xiaohan, et al.
Veröffentlicht: (2024)

Lateral Phishing With Large Language Models: A Large Organization Comparative Study
von: Bethany, Mazal, et al.
Veröffentlicht: (2024)

Large Language Model Sentinel: LLM Agent for Adversarial Purification
von: Lin, Guang, et al.
Veröffentlicht: (2024)

Towards Label-Only Membership Inference Attack against Pre-trained Large Language Models
von: He, Yu, et al.
Veröffentlicht: (2025)

Separator Injection Attack: Uncovering Dialogue Biases in Large Language Models Caused by Role Separators
von: Li, Xitao, et al.
Veröffentlicht: (2025)

Privacy-Preserving Instructions for Aligning Large Language Models
von: Yu, Da, et al.
Veröffentlicht: (2024)

Prompt Stealing Attacks Against Large Language Models
von: Sha, Zeyang, et al.
Veröffentlicht: (2024)

Majority Bit-Aware Watermarking For Large Language Models
von: Xu, Jiahao, et al.
Veröffentlicht: (2025)

Citation: A Key to Building Responsible and Accountable Large Language Models
von: Huang, Jie, et al.
Veröffentlicht: (2023)

Sanitize Your Responses: Mitigating Privacy Leakage in Large Language Models
von: Fu, Wenjie, et al.
Veröffentlicht: (2025)

TrojanRAG: Retrieval-Augmented Generation Can Be Backdoor Driver in Large Language Models
von: Cheng, Pengzhou, et al.
Veröffentlicht: (2024)

Reasoning-Augmented Conversation for Multi-Turn Jailbreak Attacks on Large Language Models
von: Ying, Zonghao, et al.
Veröffentlicht: (2025)

LRCTI: A Large Language Model-Based Framework for Multi-Step Evidence Retrieval and Reasoning in Cyber Threat Intelligence Credibility Verification
von: Tang, Fengxiao, et al.
Veröffentlicht: (2025)

CTRAP: Embedding Collapse Trap to Safeguard Large Language Models from Harmful Fine-Tuning
von: Yi, Biao, et al.
Veröffentlicht: (2025)

garak: A Framework for Security Probing Large Language Models
von: Derczynski, Leon, et al.
Veröffentlicht: (2024)

Denial-of-Service Poisoning Attacks against Large Language Models
von: Gao, Kuofeng, et al.
Veröffentlicht: (2024)

Watermarking Large Language Models and the Generated Content: Opportunities and Challenges
von: Zhang, Ruisi, et al.
Veröffentlicht: (2024)

Privacy in Large Language Models: Attacks, Defenses and Future Directions
von: Li, Haoran, et al.
Veröffentlicht: (2023)

EPT Benchmark: Evaluation of Persian Trustworthiness in Large Language Models
von: Mirbagheri, Mohammad Reza, et al.
Veröffentlicht: (2025)

InfoFlood: Jailbreaking Large Language Models with Information Overload
von: Yadav, Advait, et al.
Veröffentlicht: (2025)

PrivLM-Bench: A Multi-level Privacy Evaluation Benchmark for Language Models
von: Li, Haoran, et al.
Veröffentlicht: (2023)

ChatNVD: Advancing Cybersecurity Vulnerability Assessment with Large Language Models
von: Chopra, Shivansh, et al.
Veröffentlicht: (2024)

Harnessing Task Overload for Scalable Jailbreak Attacks on Large Language Models
von: Dong, Yiting, et al.
Veröffentlicht: (2024)

Probe before You Talk: Towards Black-box Defense against Backdoor Unalignment for Large Language Models
von: Yi, Biao, et al.
Veröffentlicht: (2025)