Saved in:
| Main Authors: | Sayed, Md Abu, Rahman, Asif, Kiekintveld, Christopher, Garcia, Sebastian |
|---|---|
| Format: | Preprint |
| Published: |
2024
|
| Subjects: | |
| Online Access: | https://arxiv.org/abs/2410.21723 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
Coordinated Multi-Domain Deception: A Stackelberg Game Approach
by: Sayed, Md Abu, et al.
Published: (2026)
by: Sayed, Md Abu, et al.
Published: (2026)
Improving DNS Exfiltration Detection via Transformer Pretraining
by: Tomić, Miloš, et al.
Published: (2026)
by: Tomić, Miloš, et al.
Published: (2026)
MAD-OOD: A Deep Learning Cluster-Driven Framework for an Out-of-Distribution Malware Detection and Classification
by: Ige, Tosin, et al.
Published: (2025)
by: Ige, Tosin, et al.
Published: (2025)
Evasion-Resilient Detection of DNS-over-HTTPS Data Exfiltration: A Practical Evaluation and Toolkit
by: Elaoumari, Adam
Published: (2025)
by: Elaoumari, Adam
Published: (2025)
An Investigation into the Performances of the State-of-the-art Machine Learning Approaches for Various Cyber-attack Detection: A Survey
by: Ige, Tosin, et al.
Published: (2024)
by: Ige, Tosin, et al.
Published: (2024)
ss2DNS: A Secure DNS Scheme in Stage 2
by: Jahromi, Ali Sadeghi, et al.
Published: (2024)
by: Jahromi, Ali Sadeghi, et al.
Published: (2024)
AssessITS: Integrating procedural guidelines and practical evaluation metrics for organizational IT and Cybersecurity risk assessment
by: Rahman, Mir Mehedi, et al.
Published: (2024)
by: Rahman, Mir Mehedi, et al.
Published: (2024)
A Survey of Network Requirements for Enabling Effective Cyber Deception
by: Sayed, Md Abu, et al.
Published: (2023)
by: Sayed, Md Abu, et al.
Published: (2023)
Verifying LLM Inference to Detect Model Weight Exfiltration
by: Rinberg, Roy, et al.
Published: (2025)
by: Rinberg, Roy, et al.
Published: (2025)
Optimizing DDoS Detection in SDNs Through Machine Learning Models
by: Haque, Md. Ehsanul, et al.
Published: (2025)
by: Haque, Md. Ehsanul, et al.
Published: (2025)
A Simple Data Exfiltration Game
by: Caulfield, Tristan
Published: (2025)
by: Caulfield, Tristan
Published: (2025)
Deep Learning-Based Speech and Vision Synthesis to Improve Phishing Attack Detection through a Multi-layer Adaptive Framework
by: Ige, Tosin, et al.
Published: (2024)
by: Ige, Tosin, et al.
Published: (2024)
Case Study: Fine-tuning Small Language Models for Accurate and Private CWE Detection in Python Code
by: Bappy, Md. Azizul Hakim, et al.
Published: (2025)
by: Bappy, Md. Azizul Hakim, et al.
Published: (2025)
FSCsec: Collaboration in Financial Sector Cybersecurity -- Exploring the Impact of Resource Sharing on IT Security
by: Sayeed, Sayed Abu, et al.
Published: (2024)
by: Sayeed, Sayed Abu, et al.
Published: (2024)
Implementing ISO/IEC TS 27560:2023 Consent Records and Receipts for GDPR and DGA
by: Pandit, Harshvardhan J., et al.
Published: (2024)
by: Pandit, Harshvardhan J., et al.
Published: (2024)
Navigating the Designs of Privacy-Preserving Fine-tuning for Large Language Models
by: Shi, Haonan, et al.
Published: (2025)
by: Shi, Haonan, et al.
Published: (2025)
Fine-tuning of Large Language Models for Domain-Specific Cybersecurity Knowledge
by: Huang, Yuan
Published: (2025)
by: Huang, Yuan
Published: (2025)
Antidote: Post-fine-tuning Safety Alignment for Large Language Models against Harmful Fine-tuning
by: Huang, Tiansheng, et al.
Published: (2024)
by: Huang, Tiansheng, et al.
Published: (2024)
Registration, Detection, and Deregistration: Analyzing DNS Abuse for Phishing Attacks
by: Lim, Kyungchan, et al.
Published: (2025)
by: Lim, Kyungchan, et al.
Published: (2025)
Differentially Private Parameter-Efficient Fine-tuning for Large ASR Models
by: Liu, Hongbin, et al.
Published: (2024)
by: Liu, Hongbin, et al.
Published: (2024)
Practical Secure Inference Algorithm for Fine-tuned Large Language Model Based on Fully Homomorphic Encryption
by: Ruoyan, Zhang, et al.
Published: (2025)
by: Ruoyan, Zhang, et al.
Published: (2025)
Domainator: Detecting and Identifying DNS-Tunneling Malware Using Metadata Sequences
by: Petrov, Denis, et al.
Published: (2025)
by: Petrov, Denis, et al.
Published: (2025)
Evaluating Generalization Mechanisms in Autonomous Cyber Attack Agents
by: Lukáš, Ondřej, et al.
Published: (2026)
by: Lukáš, Ondřej, et al.
Published: (2026)
Detection of Distributed Denial of Service Attacks based on Machine Learning Algorithms
by: Rahman, Md. Abdur
Published: (2025)
by: Rahman, Md. Abdur
Published: (2025)
Data Exfiltration by Compression Attack: Definition and Evaluation on Medical Image Data
by: Li, Huiyu, et al.
Published: (2025)
by: Li, Huiyu, et al.
Published: (2025)
EMPalm: Exfiltrating Palm Biometric Data via Electromagnetic Side-Channel
by: Xu, Haowen, et al.
Published: (2025)
by: Xu, Haowen, et al.
Published: (2025)
The MESA Security Model 2.0: A Dynamic Framework for Mitigating Stealth Data Exfiltration
by: Singh, Sanjeev Pratap, et al.
Published: (2024)
by: Singh, Sanjeev Pratap, et al.
Published: (2024)
PriFFT: Privacy-preserving Federated Fine-tuning of Large Language Models via Hybrid Secret Sharing
by: You, Zhichao, et al.
Published: (2025)
by: You, Zhichao, et al.
Published: (2025)
A Survey and Evaluation Framework for Secure DNS Resolution
by: Jahromi, Ali Sadeghi, et al.
Published: (2025)
by: Jahromi, Ali Sadeghi, et al.
Published: (2025)
DECIFR: Domain-Aware Exfiltration of Circuit Information from Federated Gradient Reconstruction
by: Lee, Gijung, et al.
Published: (2026)
by: Lee, Gijung, et al.
Published: (2026)
Malicious GenAI Chrome Extensions: Unpacking Data Exfiltration and Malicious Behaviours
by: Seetharam, Shresta B., et al.
Published: (2025)
by: Seetharam, Shresta B., et al.
Published: (2025)
Trojan Hippo: Weaponizing Agent Memory for Data Exfiltration
by: Das, Debeshee, et al.
Published: (2026)
by: Das, Debeshee, et al.
Published: (2026)
An investigation into the performances of the Current state-of-the-art Naive Bayes, Non-Bayesian and Deep Learning Based Classifier for Phishing Detection: A Survey
by: Ige, Tosin, et al.
Published: (2024)
by: Ige, Tosin, et al.
Published: (2024)
EnchTable: Unified Safety Alignment Transfer in Fine-tuned Large Language Models
by: Wu, Jialin, et al.
Published: (2025)
by: Wu, Jialin, et al.
Published: (2025)
Embedding with Large Language Models for Classification of HIPAA Safeguard Compliance Rules
by: Rahman, Md Abdur, et al.
Published: (2024)
by: Rahman, Md Abdur, et al.
Published: (2024)
PhishGuard: A Multi-Layered Ensemble Model for Optimal Phishing Website Detection
by: Ovi, Md Sultanul Islam, et al.
Published: (2024)
by: Ovi, Md Sultanul Islam, et al.
Published: (2024)
Private Fine-tuning of Large Language Models with Zeroth-order Optimization
by: Tang, Xinyu, et al.
Published: (2024)
by: Tang, Xinyu, et al.
Published: (2024)
Security System for DNS Using Cryptography.
by: Aishwarya K P, et al.
Published: (2025)
by: Aishwarya K P, et al.
Published: (2025)
Mind the Gap: Evaluating LLMs for High-Level Malicious Package Detection vs. Fine-Grained Indicator Identification
by: Ryan, Ahmed, et al.
Published: (2026)
by: Ryan, Ahmed, et al.
Published: (2026)
Assessing Generalisation Capability of Machine Learning Models for Intrusion Detection
by: Hossain, Md Zakir, et al.
Published: (2026)
by: Hossain, Md Zakir, et al.
Published: (2026)
Similar Items
-
Coordinated Multi-Domain Deception: A Stackelberg Game Approach
by: Sayed, Md Abu, et al.
Published: (2026) -
Improving DNS Exfiltration Detection via Transformer Pretraining
by: Tomić, Miloš, et al.
Published: (2026) -
MAD-OOD: A Deep Learning Cluster-Driven Framework for an Out-of-Distribution Malware Detection and Classification
by: Ige, Tosin, et al.
Published: (2025) -
Evasion-Resilient Detection of DNS-over-HTTPS Data Exfiltration: A Practical Evaluation and Toolkit
by: Elaoumari, Adam
Published: (2025) -
An Investigation into the Performances of the State-of-the-art Machine Learning Approaches for Various Cyber-attack Detection: A Survey
by: Ige, Tosin, et al.
Published: (2024)