:: Library Catalog

Cover Image

Saved in:

Bibliographic Details
Main Authors:	Outrata, Vojtech, Polak, Michael Adam, Kopp, Martin
Format:	Preprint
Published:	2024
Subjects:	Cryptography and Security Machine Learning
Online Access:	https://arxiv.org/abs/2408.02637
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Prompt Obfuscation for Large Language Models
by: Pape, David, et al.
Published: (2024)

Injecting Undetectable Backdoors in Obfuscated Neural Networks and Language Models
by: Kalavasis, Alkis, et al.
Published: (2024)

A Systematic Study of Code Obfuscation Against LLM-based Vulnerability Detection
by: Li, Xiao, et al.
Published: (2025)

Good-Enough LLM Obfuscation (GELO)
by: Belikov, Anatoly, et al.
Published: (2026)

Breaking Obfuscation: Cluster-Aware Graph with LLM-Aided Recovery for Malicious JavaScript Detection
by: Liang, Zhihong, et al.
Published: (2025)

PrivDiffuser: Privacy-Guided Diffusion Model for Data Obfuscation in Sensor Networks
by: Yang, Xin, et al.
Published: (2024)

Discovering Command and Control Channels Using Reinforcement Learning
by: Wang, Cheng, et al.
Published: (2024)

CLOAK: Contrastive Guidance for Latent Diffusion-Based Data Obfuscation
by: Yang, Xin, et al.
Published: (2025)

LLM Security and Safety: Insights from Homotopy-Inspired Prompt Obfuscation
by: Lazo, Luis, et al.
Published: (2026)

Obfuscated Malware Detection: Investigating Real-world Scenarios through Memory Analysis
by: Hasan, S M Rakib, et al.
Published: (2024)

Evaluating LLM-Generated Obfuscated XSS Payloads for Machine Learning-Based Detection
by: Gabbireddy, Divyesh, et al.
Published: (2026)

LATTEO: A Framework to Support Learning Asynchronously Tempered with Trusted Execution and Obfuscation
by: Kumar, Abhinav, et al.
Published: (2025)

Identifying Obfuscated Code through Graph-Based Semantic Analysis of Binary Code
by: Cohen, Roxane, et al.
Published: (2025)

ObfAx: Obfuscation and IP Piracy Detection in Approximate Circuits
by: Sekanina, Lukas, et al.
Published: (2026)

Black-Box Detection of Language Model Watermarks
by: Gloaguen, Thibaud, et al.
Published: (2024)

LabObf: A Label Protection Scheme for Vertical Federated Learning Through Label Obfuscation
by: He, Ying, et al.
Published: (2024)

Output Supervision Can Obfuscate the Chain of Thought
by: Drori, Jacob, et al.
Published: (2025)

Beyond Static Tools: Evaluating Large Language Models for Cryptographic Misuse Detection
by: Masood, Zohaib, et al.
Published: (2024)

CHAI: Command Hijacking against embodied AI
by: Burbano, Luis, et al.
Published: (2025)

EASE: Practical and Efficient Safety Alignment for Small Language Models
by: Shi, Haonan, et al.
Published: (2025)

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

Amalgam: A Framework for Obfuscated Neural Network Training on the Cloud
by: Taki, Sifat Ut, et al.
Published: (2024)

FRIDA: Free-Rider Detection using Privacy Attacks
by: Recasens, Pol G., et al.
Published: (2024)

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

Verifying LLM Inference to Detect Model Weight Exfiltration
by: Rinberg, Roy, et al.
Published: (2025)

CommandSans: Securing AI Agents with Surgical Precision Prompt Sanitization
by: Das, Debeshee, et al.
Published: (2025)

Privacy for Fairness: Information Obfuscation for Fair Representation Learning with Local Differential Privacy
by: Xie, Songjie, et al.
Published: (2024)

Concept Drift Detection using Ensemble of Integrally Private Models
by: Varshney, Ayush K., et al.
Published: (2024)

Improved Large Language Model Jailbreak Detection via Pretrained Embeddings
by: Galinkin, Erick, et al.
Published: (2024)

HIDBench: Benchmarking Large Language Models for Host-Based Intrusion Detection
by: Sun, Danyu, et al.
Published: (2026)

LiteLMGuard: Seamless and Lightweight On-Device Prompt Filtering for Safeguarding Small Language Models against Quantization-induced Risks and Vulnerabilities
by: Nakka, Kalyan, et al.
Published: (2025)

Evaluating Large Language Models in Vulnerability Detection Under Variable Context Windows
by: Lin, Jie, et al.
Published: (2025)

Evading Deep Learning-Based Malware Detectors via Obfuscation: A Deep Reinforcement Learning Approach
by: Etter, Brian, et al.
Published: (2024)

Adversarial Co-Evolution of Malware and Detection Models: A Bilevel Optimization Perspective
by: Jurečková, Olha, et al.
Published: (2026)

Improving Network Threat Detection by Knowledge Graph, Large Language Model, and Imbalanced Learning
by: Zhang, Lili, et al.
Published: (2025)

Transfer Learning in Pre-Trained Large Language Models for Malware Detection Based on System Calls
by: Sánchez, Pedro Miguel Sánchez, et al.
Published: (2024)

Anomaly Detection in Certificate Transparency Logs
by: Ostertág, Richard, et al.
Published: (2024)

Intrusion Detection at Scale with the Assistance of a Command-line Language Model
by: Lin, Jiongliang, et al.
Published: (2024)

Jailbreaking Large Language Models in Infinitely Many Ways
by: Goldstein, Oliver, et al.
Published: (2025)

Learning the Language of NVMe Streams for Ransomware Detection
by: Bringoltz, Barak, et al.
Published: (2025)