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Android Malware Detection

Papers

Showing 26–50 of 76 papers

TitleStatusHype
ActDroid: An active learning framework for Android malware detection—0
Android Malware Detection with Unbiased Confidence Guarantees—0
Light up that Droid! On the Effectiveness of Static Analysis Features against App Obfuscation for Android Malware Detection—0
Efficient Concept Drift Handling for Batch Android Malware Detection ModelsCode0
LaFiCMIL: Rethinking Large File Classification from the Perspective of Correlated Multiple Instance Learning—0
On building machine learning pipelines for Android malware detection: a procedural survey of practices, challenges and opportunities—0
Investigating Feature and Model Importance in Android Malware Detection: An Implemented Survey and Experimental Comparison of ML-Based Methods—0
Mask Off: Analytic-based Malware Detection By Transfer Learning and Model Personalization—0
Flexible Android Malware Detection Model based on Generative Adversarial Networks with Code Tensor—0
Level Up with ML Vulnerability Identification: Leveraging Domain Constraints in Feature Space for Robust Android Malware DetectionCode0
Towards a Fair Comparison and Realistic Evaluation Framework of Android Malware Detectors based on Static Analysis and Machine LearningCode0
A two-steps approach to improve the performance of Android malware detectors—0
Malceiver: Perceiver with Hierarchical and Multi-modal Features for Android Malware Detection—0
MaMaDroid2.0 -- The Holes of Control Flow GraphsCode0
Android Malware Detection using Feature Ranking of Permissions—0
Graph Neural Network-based Android Malware Classification with Jumping Knowledge—0
"How Does It Detect A Malicious App?" Explaining the Predictions of AI-based Android Malware Detector—0
EvadeDroid: A Practical Evasion Attack on Machine Learning for Black-box Android Malware DetectionCode0
Data Augmentation for Opcode Sequence Based Malware Detection—0
Detection of Malicious Android Applications: Classical Machine Learning vs. Deep Neural Network Integrated with Clustering—0
Identification of Significant Permissions for Efficient Android Malware Detection—0
Collective Intelligence: Decentralized Learning for Android Malware Detection in IoT with Blockchain—0
Robust Android Malware Detection System against Adversarial Attacks using Q-Learning—0
Do Gradient-based Explanations Tell Anything About Adversarial Robustness to Android Malware?—0
DL-Droid: Deep learning based android malware detection using real devices—0
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