:: Library Catalog

Cover Image

Saved in:

Bibliographic Details
Main Authors:	Agrawal, Rishit, Bhatnagar, Kunal, Do, Andrew, Rana, Ronnit, Stamp, Mark
Format:	Preprint
Published:	2025
Subjects:	Cryptography and Security Machine Learning
Online Access:	https://arxiv.org/abs/2509.10838
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

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

A Comparison of Adversarial Learning Techniques for Malware Detection
by: Louthánová, Pavla, et al.
Published: (2023)

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

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

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

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

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

Detecting Concept Drift in Evolving Malware Families Using Rule-Based Classifier Representations
by: Kalný, Tomáš, et al.
Published: (2026)

Robustness of Selected Learning Models under Label-Flipping Attack
by: Bhargava, Sarvagya, et al.
Published: (2025)

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

Temporal Analysis of Adversarial Attacks in Federated Learning
by: Mapakshi, Rohit, et al.
Published: (2025)

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

RECAP: A Resource-Efficient Method for Adversarial Prompting in Large Language Models
by: Chugh, Rishit
Published: (2026)

Explainability-Guided Adversarial Attacks on Transformer-Based Malware Detectors Using Control Flow Graphs
by: Wheeler, Andrew, et al.
Published: (2026)

Explainable Malware Detection through Integrated Graph Reduction and Learning Techniques
by: Mohammadian, Hesamodin, et al.
Published: (2024)

Accelerating Malware Classification: A Vision Transformer Solution
by: Bavishi, Shrey, et al.
Published: (2024)

A Lean Transformer Model for Dynamic Malware Analysis and Detection
by: Quertier, Tony, et al.
Published: (2024)

Optimized Approaches to Malware Detection: A Study of Machine Learning and Deep Learning Techniques
by: Fahim, Abrar, et al.
Published: (2025)

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

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

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

Examining the Rat in the Tunnel: Interpretable Multi-Label Classification of Tor-based Malware
by: Karunanayake, Ishan, et al.
Published: (2024)

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)

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

Malware Classification from Memory Dumps Using Machine Learning, Transformers, and Large Language Models
by: Dweib, Areej, et al.
Published: (2025)

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

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

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

Adversarial Malware Generation in Linux ELF Binaries via Semantic-Preserving Transformations
by: Hrdonka, Lukáš, et al.
Published: (2026)

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

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

Adversarial Attacks on Transformers-Based Malware Detectors
by: Jakhotiya, Yash, et al.
Published: (2022)

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

Comparison of Multiple Classifiers for Android Malware Detection with Emphasis on Feature Insights Using CICMalDroid 2020 Dataset
by: Abedin, Md Min-Ha-Zul, et al.
Published: (2026)

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

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

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

Creating Valid Adversarial Examples of Malware
by: Kozák, Matouš, et al.
Published: (2023)

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

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