Android malware datasets
Emerging5papers using it
2024first seen
The 'Android malware datasets' contain 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 approaches.
Papers using Android malware datasets (5)
- DRMD: Deep Reinforcement Learning For Malware Detection Under Concept DriftTrustBoot: A Trust Bootstrapping Framework for Semi-Supervised Malware DetectionAddressing malware family concept drift with triplet autoencoderOn The Effectiveness Of Adversarial Training On Malware ClassifiersMORPH: Towards Automated Concept Drift Adaptation For Malware Detection