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Android Malware Detection

Papers

Showing 51–76 of 76 papers

TitleStatusHype
High Accuracy Android Malware Detection Using Ensemble Learning—0
"How Does It Detect A Malicious App?" Explaining the Predictions of AI-based Android Malware Detector—0
Identification of Significant Permissions for Efficient Android Malware Detection—0
Improving Android Malware Detection Through Data Augmentation Using Wasserstein Generative Adversarial Networks—0
Collective Intelligence: Decentralized Learning for Android Malware Detection in IoT with Blockchain—0
LaFiCMIL: Rethinking Large File Classification from the Perspective of Correlated Multiple Instance Learning—0
LAMD: Context-driven Android Malware Detection and Classification with LLMs—0
Light up that Droid! On the Effectiveness of Static Analysis Features against App Obfuscation for Android Malware Detection—0
MADCAT: Combating Malware Detection Under Concept Drift with Test-Time Adaptation—0
Malceiver: Perceiver with Hierarchical and Multi-modal Features for Android Malware Detection—0
Mask Off: Analytic-based Malware Detection By Transfer Learning and Model Personalization—0
N-gram Opcode Analysis for Android Malware Detection—0
On building machine learning pipelines for Android malware detection: a procedural survey of practices, challenges and opportunities—0
On Defending Against Label Flipping Attacks on Malware Detection Systems—0
On the Effectiveness of System API-Related Information for Android Ransomware Detection—0
OpCode-Based Malware Classification Using Machine Learning and Deep Learning Techniques—0
Efficient Concept Drift Handling for Batch Android Malware Detection ModelsCode0
Crystal ball: From innovative attacks to attack effectiveness classifierCode0
EvadeDroid: A Practical Evasion Attack on Machine Learning for Black-box Android Malware DetectionCode0
Evaluating the Robustness of Adversarial Defenses in Malware Detection SystemsCode0
Improving Adversarial Robustness in Android Malware Detection by Reducing the Impact of Spurious CorrelationsCode0
Towards a Fair Comparison and Realistic Evaluation Framework of Android Malware Detectors based on Static Analysis and Machine LearningCode0
AndrODet: An Adaptive Android Obfuscation DetectorCode0
Level Up with ML Vulnerability Identification: Leveraging Domain Constraints in Feature Space for Robust Android Malware DetectionCode0
DetectBERT: Towards Full App-Level Representation Learning to Detect Android MalwareCode0
MaMaDroid2.0 -- The Holes of Control Flow GraphsCode0
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