:: Library Catalog

Cover Image

Saved in:

Bibliographic Details
Main Authors:	Karunanayake, Ishan, AlSabah, Mashael, Ahmed, Nadeem, Jha, Sanjay
Format:	Preprint
Published:	2024
Subjects:	Cryptography and Security Machine Learning
Online Access:	https://arxiv.org/abs/2409.16639
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Deep Multi-Task Learning for Malware Image Classification
by: Bensaoud, Ahmed, et al.
Published: (2024)

Multimodal Techniques for Malware Classification
by: Jiang, Jonathan, et al.
Published: (2025)

CNN-LSTM and Transfer Learning Models for Malware Classification based on Opcodes and API Calls
by: Bensaoud, Ahmed, et al.
Published: (2024)

A Novel Active Learning Approach to Label One Million Unknown Malware Variants
by: Bensaoud, Ahmed, et al.
Published: (2025)

Label-efficient Training Updates for Malware Detection over Time
by: Minnei, Luca, et al.
Published: (2026)

RawMal-TF: Raw Malware Dataset Labeled by Type and Family
by: Bálik, David, et al.
Published: (2025)

A Survey of Malware Detection Using Deep Learning
by: Bensaoud, Ahmed, et al.
Published: (2024)

Image-Based Malware Classification Using QR and Aztec Codes
by: Khadilkar, Atharva, et al.
Published: (2024)

A Comparison of Selected Image Transformation Techniques for Malware Classification
by: Agrawal, Rishit, et al.
Published: (2025)

Assessing Cyclostationary Malware Detection via Feature Selection and Classification
by: Nkongolo, Mike
Published: (2023)

Malware Classification Leveraging NLP & Machine Learning for Enhanced Accuracy
by: Gond, Bishwajit Prasad, et al.
Published: (2025)

Malware Detection based on API calls
by: Fellicious, Christofer, et al.
Published: (2025)

DeepTrust: Multi-Step Classification through Dissimilar Adversarial Representations for Robust Android Malware Detection
by: Pulido-Cortázar, Daniel, et al.
Published: (2025)

StructTransform: A Scalable Attack Surface for Safety-Aligned Large Language Models
by: Yoosuf, Shehel, et al.
Published: (2025)

LLM-FS: Zero-Shot Feature Selection for Effective and Interpretable Malware Detection
by: Gill, Naveen, et al.
Published: (2026)

Understanding Concept Drift with Deprecated Permissions in Android Malware Detection
by: Sabbah, Ahmed, et al.
Published: (2025)

Trust Under Siege: Label Spoofing Attacks against Machine Learning for Android Malware Detection
by: Lan, Tianwei, et al.
Published: (2025)

Adaptive Malware Detection using Sequential Feature Selection: A Dueling Double Deep Q-Network (D3QN) Framework for Intelligent Classification
by: Khan, Naseem, et al.
Published: (2025)

FARM: Few-shot Adaptive Malware Family Classification under Concept Drift
by: Guldemir, Numan Halit, et al.
Published: (2026)

MalMixer: Few-Shot Malware Classification with Retrieval-Augmented Semi-Supervised Learning
by: Li, Jiliang, et al.
Published: (2024)

TUANDROMD-X: Advanced Entropy and Visual Analytics Dataset for Enhanced Malware Detection and Classification
by: Borah, Parthajit, et al.
Published: (2026)

Better Call Graphs: A New Dataset of Function Call Graphs for Malware Classification
by: Hossain, Jakir, et al.
Published: (2025)

Unraveling the Key of Machine Learning-based Android Malware Detection
by: Liu, Jiahao, et al.
Published: (2024)

AuditNet: A Conversational AI-based Security Assistant [DEMO]
by: Deldari, Shohreh, et al.
Published: (2024)

System Calls for Malware Detection and Classification: Methodologies and Applications
by: Gond, Bishwajit Prasad, et al.
Published: (2025)

Privacy-Preserving Machine Learning for IoT: A Cross-Paradigm Survey and Future Roadmap
by: Zaman, Zakia, et al.
Published: (2026)

Android Malware Detection Based on RGB Images and Multi-feature Fusion
by: Wang, Zhiqiang, et al.
Published: (2024)

XAI and Android Malware Models
by: Kulkarni, Maithili, et al.
Published: (2024)

Comparative Analysis of Hash-based Malware Clustering via K-Means
by: Thein, Aink Acrie Soe, et al.
Published: (2025)

Quantifying the Generalization Gap: A New Benchmark for Out-of-Distribution Graph-Based Android Malware Classification
by: Tran, Ngoc N., et al.
Published: (2025)

A Transformer-Based Framework for Payload Malware Detection and Classification
by: Stein, Kyle, et al.
Published: (2024)

kNN Classification of Malware Data Dependency Graph Features
by: Musgrave, John, et al.
Published: (2024)

LAMD: Context-driven Android Malware Detection and Classification with LLMs
by: Qian, Xingzhi, et al.
Published: (2025)

A Visualized Malware Detection Framework with CNN and Conditional GAN
by: Wang, Fang, et al.
Published: (2024)

TESSERACT: Eliminating Experimental Bias in Malware Classification across Space and Time (Extended Version)
by: Kan, Zeliang, et al.
Published: (2024)

On the Robustness of Malware Detectors to Adversarial Samples
by: Salman, Muhammad, et al.
Published: (2024)

On the Effectiveness of Adversarial Training on Malware Classifiers
by: Bostani, Hamid, et al.
Published: (2024)

Online Clustering of Known and Emerging Malware Families
by: Jurečková, Olha, et al.
Published: (2024)

Cluster Analysis and Concept Drift Detection in Malware
by: Mishra, Aniket, et al.
Published: (2025)

Nebula: Self-Attention for Dynamic Malware Analysis
by: Trizna, Dmitrijs, et al.
Published: (2023)