Image de couverture de livre

Command-line Obfuscation Detection using Small Language Models

Fuente: arXiv

Enregistré dans:

Détails bibliographiques
Auteurs principaux:	Outrata, Vojtech, Polak, Michael Adam, Kopp, Martin
Format:	Preprint
Publié:	2024
Sujets:	Cryptography and Security Machine Learning
Accès en ligne:	Acceder al recurso
Tags:	Ajouter un tag Pas de tags, Soyez le premier à ajouter un tag!

Documents similaires

Prompt Obfuscation for Large Language Models
par: Pape, David, et autres
Publié: (2024)

Injecting Undetectable Backdoors in Obfuscated Neural Networks and Language Models
par: Kalavasis, Alkis, et autres
Publié: (2024)

A Systematic Study of Code Obfuscation Against LLM-based Vulnerability Detection
par: Li, Xiao, et autres
Publié: (2025)

Good-Enough LLM Obfuscation (GELO)
par: Belikov, Anatoly, et autres
Publié: (2026)

Breaking Obfuscation: Cluster-Aware Graph with LLM-Aided Recovery for Malicious JavaScript Detection
par: Liang, Zhihong, et autres
Publié: (2025)

PrivDiffuser: Privacy-Guided Diffusion Model for Data Obfuscation in Sensor Networks
par: Yang, Xin, et autres
Publié: (2024)

Discovering Command and Control Channels Using Reinforcement Learning
par: Wang, Cheng, et autres
Publié: (2024)

CLOAK: Contrastive Guidance for Latent Diffusion-Based Data Obfuscation
par: Yang, Xin, et autres
Publié: (2025)

LLM Security and Safety: Insights from Homotopy-Inspired Prompt Obfuscation
par: Lazo, Luis, et autres
Publié: (2026)

Black-Box Detection of Language Model Watermarks
par: Gloaguen, Thibaud, et autres
Publié: (2024)

LATTEO: A Framework to Support Learning Asynchronously Tempered with Trusted Execution and Obfuscation
par: Kumar, Abhinav, et autres
Publié: (2025)

Identifying Obfuscated Code through Graph-Based Semantic Analysis of Binary Code
par: Cohen, Roxane, et autres
Publié: (2025)

Obfuscated Malware Detection: Investigating Real-world Scenarios through Memory Analysis
par: Hasan, S M Rakib, et autres
Publié: (2024)

Evaluating LLM-Generated Obfuscated XSS Payloads for Machine Learning-Based Detection
par: Gabbireddy, Divyesh, et autres
Publié: (2026)

LabObf: A Label Protection Scheme for Vertical Federated Learning Through Label Obfuscation
par: He, Ying, et autres
Publié: (2024)

Beyond Static Tools: Evaluating Large Language Models for Cryptographic Misuse Detection
par: Masood, Zohaib, et autres
Publié: (2024)

ObfAx: Obfuscation and IP Piracy Detection in Approximate Circuits
par: Sekanina, Lukas, et autres
Publié: (2026)

EASE: Practical and Efficient Safety Alignment for Small Language Models
par: Shi, Haonan, et autres
Publié: (2025)

Output Supervision Can Obfuscate the Chain of Thought
par: Drori, Jacob, et autres
Publié: (2025)

CHAI: Command Hijacking against embodied AI
par: Burbano, Luis, et autres
Publié: (2025)

Command & Control (C2) Traffic Detection Via Algorithm Generated Domain (Dga) Classification Using Deep Learning And Natural Language Processing
par: Felix, Maria Milena Araujo
Publié: (2025)

Adaptive and Robust Data Poisoning Detection and Sanitization in Wearable IoT Systems using Large Language Models
par: Mithsara, W. K. M, et autres
Publié: (2025)

FRIDA: Free-Rider Detection using Privacy Attacks
par: Recasens, Pol G., et autres
Publié: (2024)

Verifying LLM Inference to Detect Model Weight Exfiltration
par: Rinberg, Roy, et autres
Publié: (2025)

Amalgam: A Framework for Obfuscated Neural Network Training on the Cloud
par: Taki, Sifat Ut, et autres
Publié: (2024)

Concept Drift Detection using Ensemble of Integrally Private Models
par: Varshney, Ayush K., et autres
Publié: (2024)

HIDBench: Benchmarking Large Language Models for Host-Based Intrusion Detection
par: Sun, Danyu, et autres
Publié: (2026)

CommandSans: Securing AI Agents with Surgical Precision Prompt Sanitization
par: Das, Debeshee, et autres
Publié: (2025)

LiteLMGuard: Seamless and Lightweight On-Device Prompt Filtering for Safeguarding Small Language Models against Quantization-induced Risks and Vulnerabilities
par: Nakka, Kalyan, et autres
Publié: (2025)

Privacy for Fairness: Information Obfuscation for Fair Representation Learning with Local Differential Privacy
par: Xie, Songjie, et autres
Publié: (2024)

Evaluating Large Language Models in Vulnerability Detection Under Variable Context Windows
par: Lin, Jie, et autres
Publié: (2025)

Improved Large Language Model Jailbreak Detection via Pretrained Embeddings
par: Galinkin, Erick, et autres
Publié: (2024)

Improving Network Threat Detection by Knowledge Graph, Large Language Model, and Imbalanced Learning
par: Zhang, Lili, et autres
Publié: (2025)

Adversarial Co-Evolution of Malware and Detection Models: A Bilevel Optimization Perspective
par: Jurečková, Olha, et autres
Publié: (2026)

Transfer Learning in Pre-Trained Large Language Models for Malware Detection Based on System Calls
par: Sánchez, Pedro Miguel Sánchez, et autres
Publié: (2024)

Jailbreaking Large Language Models in Infinitely Many Ways
par: Goldstein, Oliver, et autres
Publié: (2025)

Learning the Language of NVMe Streams for Ransomware Detection
par: Bringoltz, Barak, et autres
Publié: (2025)

Anomaly Detection in Certificate Transparency Logs
par: Ostertág, Richard, et autres
Publié: (2024)

Anomaly Detection in OKTA Logs using Autoencoders
par: Cain, Jericho, et autres
Publié: (2024)

LanFL: Differentially Private Federated Learning with Large Language Models using Synthetic Samples
par: Wu, Huiyu, et autres
Publié: (2024)