Buchumschlag

Sentinels of the Stream: Unleashing Large Language Models for Dynamic Packet Classification in Software Defined Networks -- Position Paper

Fuente: arXiv

Gespeichert in:

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

Ähnliche Einträge

Mirage: Defense against CrossPath Attacks in Software Defined Networks
von: Murtuza, Shariq, et al.
Veröffentlicht: (2024)

Scout: Leveraging Large Language Models for Rapid Digital Evidence Discovery
von: Murtuza, Shariq
Veröffentlicht: (2025)

Forensic Implications of Localized AI: Artifact Analysis of Ollama, LM Studio, and llama.cpp
von: Murtuza, Shariq
Veröffentlicht: (2026)

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

Unleashing the Unseen: Harnessing Benign Datasets for Jailbreaking Large Language Models
von: Zhao, Wei, et al.
Veröffentlicht: (2024)

STShield: Single-Token Sentinel for Real-Time Jailbreak Detection in Large Language Models
von: Wang, Xunguang, et al.
Veröffentlicht: (2025)

Network Traffic Classification Using Machine Learning, Transformer, and Large Language Models
von: Antari, Ahmad, et al.
Veröffentlicht: (2025)

"Give a Positive Review Only": An Early Investigation Into In-Paper Prompt Injection Attacks and Defenses for AI Reviewers
von: Zhou, Qin, et al.
Veröffentlicht: (2025)

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

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)

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

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)

$PD^3F$: A Pluggable and Dynamic DoS-Defense Framework Against Resource Consumption Attacks Targeting Large Language Models
von: Zhang, Yuanhe, et al.
Veröffentlicht: (2025)

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

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

Multi-Agent Collaboration in Incident Response with Large Language Models
von: Liu, Zefang
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)

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

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)

Where to Start Alignment? Diffusion Large Language Model May Demand a Distinct Position
von: Xie, Zhixin, et al.
Veröffentlicht: (2025)

FNF: Functional Network Fingerprint for Large Language Models
von: Liu, Yiheng, et al.
Veröffentlicht: (2026)

Cyber-Attack Technique Classification Using Two-Stage Trained Large Language Models
von: You, Weiqiu, et al.
Veröffentlicht: (2024)

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)

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

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

Breaking Down the Defenses: A Comparative Survey of Attacks on Large Language Models
von: Chowdhury, Arijit Ghosh, 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)

PRP: Propagating Universal Perturbations to Attack Large Language Model Guard-Rails
von: Mangaokar, Neal, et al.
Veröffentlicht: (2024)

ConfGuard: A Simple and Effective Backdoor Detection for Large Language Models
von: Wang, Zihan, et al.
Veröffentlicht: (2025)

EvoDefense: Co-Evolving Black-Box Defense with Large Language Models
von: Li, Yu, et al.
Veröffentlicht: (2026)

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

Understanding and Mitigating Over-refusal for Large Language Models via Safety Representation
von: Zhang, Junbo, et al.
Veröffentlicht: (2025)