Cover Image

A Novel Active Learning Approach to Label One Million Unknown Malware Variants

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Bensaoud, Ahmed, Kalita, Jugal
Format:	Preprint
Published:	2025
Subjects:	Cryptography and Security Artificial Intelligence Machine Learning
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

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

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

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

Optimized detection of cyber-attacks on IoT networks via hybrid deep learning models
by: Bensaoud, Ahmed, et al.
Published: (2025)

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

Android Malware Detection: A Machine Leaning Approach
by: Abdulla, Hasan
Published: (2025)

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

Machine Learning Transferability for Malware Detection
by: Vieira, César, et al.
Published: (2026)

Concept Drift Adaptation Using Self-Supervised and Reinforcement Learning In Android Malware Detection
by: Sabbah, Ahmed, et al.
Published: (2026)

Empirical Evaluation of Concept Drift in ML-Based Android Malware Detection
by: Sabbah, Ahmed, et al.
Published: (2025)

Adversarial Vulnerability Under Temporal Concept Drift: A Longitudinal Study of Android Malware Detection
by: Sabbah, Ahmed, et al.
Published: (2026)

Optimized Deep Learning Models for Malware Detection under Concept Drift
by: Maillet, William, et al.
Published: (2023)

On the Consistency of GNN Explanations for Malware Detection
by: Shokouhinejad, Hossein, et al.
Published: (2025)

BEACON: Behavioral Malware Classification with Large Language Model Embeddings and Deep Learning
by: Perera, Wadduwage Shanika, et al.
Published: (2025)

A Novel Ensemble Learning Approach for Enhanced IoT Attack Detection: Redefining Security Paradigms in Connected Systems
by: Abdeljaber, Hikmat A. M., et al.
Published: (2025)

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

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

Deep Learning-Driven Malware Classification with API Call Sequence Analysis and Concept Drift Handling
by: Gond, Bishwajit Prasad, et al.
Published: (2025)

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

PBP: Post-training Backdoor Purification for Malware Classifiers
by: Nguyen, Dung Thuy, et al.
Published: (2024)

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)

SCORE: Syntactic Code Representations for Static Script Malware Detection
by: Erdemir, Ecenaz, et al.
Published: (2024)

MeLeMaD: Adaptive Malware Detection via Chunk-wise Feature Selection and Meta-Learning
by: K, Ajvad Haneef, et al.
Published: (2025)

Packet Inspection Transformer: A Self-Supervised Journey to Unseen Malware Detection with Few Samples
by: Stein, Kyle, et al.
Published: (2024)

Malware families discovery via Open-Set Recognition on Android manifest permissions
by: Leveni, Filippo, et al.
Published: (2025)

Holographic Global Convolutional Networks for Long-Range Prediction Tasks in Malware Detection
by: Alam, Mohammad Mahmudul, et al.
Published: (2024)

Verify Before You Fix: Agentic Execution Grounding for Trustworthy Cross-Language Code Analysis
by: Gajjar, Jugal
Published: (2026)

IoT-based Android Malware Detection Using Graph Neural Network With Adversarial Defense
by: Yumlembam, Rahul, et al.
Published: (2025)

Semantic-Aware Contrastive Fine-Tuning: Boosting Multimodal Malware Classification with Discriminative Embeddings
by: Sanchez, Ivan Montoya, et al.
Published: (2025)

Training on Fake Labels: Mitigating Label Leakage in Split Learning via Secure Dimension Transformation
by: Jiang, Yukun, et al.
Published: (2024)

Defending against Adversarial Malware Attacks on ML-based Android Malware Detection Systems
by: He, Ping, et al.
Published: (2025)

CAFE-GB: Scalable and Stable Feature Selection for Malware Detection via Chunk-wise Aggregated Gradient Boosting
by: K, Ajvad Haneef, et al.
Published: (2026)

A Novel DDPM-based Ensemble Approach for Energy Theft Detection in Smart Grids
by: Yuan, Xun, et al.
Published: (2023)

A Novel Unified Lightweight Temporal-Spatial Transformer Approach for Intrusion Detection in Drone Networks
by: Biswas, Tarun Kumar, et al.
Published: (2025)

Hijack Vertical Federated Learning Models As One Party
by: Qiu, Pengyu, et al.
Published: (2022)

Similarity-based Label Inference Attack against Training and Inference of Split Learning
by: Liu, Junlin, et al.
Published: (2022)

Dynamic Malware Classification of Windows PE Files using CNNs and Greyscale Images Derived from Runtime API Call Argument Conversion
by: Shahnawaz, Md, et al.
Published: (2025)

Double-Dip: Thwarting Label-Only Membership Inference Attacks with Transfer Learning and Randomization
by: Rajabi, Arezoo, et al.
Published: (2024)

Logic layer Prompt Control Injection (LPCI): A Novel Security Vulnerability Class in Agentic Systems
by: Atta, Hammad, et al.
Published: (2025)