Android malware datasets

The 'Android malware datasets' consist of collections of labeled and unlabeled samples of Android applications used to evaluate the performance of malware detection methods, particularly in the context of machine learning.

Papers using Android malware datasets (7)

Malcl: Leveraging Gan-based Generative Replay To Combat Catastrophic Forgetting In Malware Classification2025 · 5 citesDro: A Data-scarce Mechanism To Revolutionize The Performance Of Deep Learning Based Security Systems2021 · 4 citesDRMD: Deep Reinforcement Learning For Malware Detection Under Concept Drift2025 · 1 citesTrustBoot: A Trust Bootstrapping Framework for Semi-Supervised Malware Detection2026Addressing Malware Family Concept Drift With Triplet Autoencoder2025On The Effectiveness Of Adversarial Training On Malware Classifiers2024 · 1 citesMORPH: Towards Automated Concept Drift Adaptation For Malware Detection2024