Android malware dataset
Emerging7papers using it
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The 'Android malware dataset' is a standardized collection of labeled data used to evaluate the performance of malware detection systems in the context of Android security.
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Papers using Android malware dataset (7)
- Malcl: Leveraging Gan-based Generative Replay To Combat Catastrophic Forgetting In Malware ClassificationDro: A Data-scarce Mechanism To Revolutionize The Performance Of Deep Learning Based Security SystemsDRMD: 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