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Android Malware Detection

Papers

Showing 150 of 76 papers

TitleStatusHype
Deep Learning for Android Malware Defenses: a Systematic Literature ReviewCode1
Continuous Learning for Android Malware DetectionCode1
MalPurifier: Enhancing Android Malware Detection with Adversarial Purification against Evasion AttacksCode1
MASKDROID: Robust Android Malware Detection with Masked Graph RepresentationsCode1
DexRay: A Simple, yet Effective Deep Learning Approach to Android Malware Detection based on Image Representation of BytecodeCode1
Can We Leverage Predictive Uncertainty to Detect Dataset Shift and Adversarial Examples in Android Malware Detection?Code1
Why an Android App is Classified as Malware? Towards Malware Classification InterpretationCode1
heterogeneous temporal graph transformer: an intelligent system for evolving android malware detectionCode1
Efficient Query-Based Attack against ML-Based Android Malware Detection under Zero Knowledge SettingCode1
Android Malware Detection Using Autoencoder0
Android Malware Detection using Deep Learning on API Method Sequences0
Android Malware Detection using Feature Ranking of Permissions0
Android Malware Detection Using Machine Learning on Image Patterns0
Android Malware Detection Using Parallel Machine Learning Classifiers0
Android Malware Detection with Unbiased Confidence Guarantees0
A New Android Malware Detection Approach Using Bayesian Classification0
A Review on The Use of Deep Learning in Android Malware Detection0
A Combination Method for Android Malware Detection Based on Control Flow Graphs and Machine Learning Algorithms0
A two-steps approach to improve the performance of Android malware detectors0
BERTDetect: A Neural Topic Modelling Approach for Android Malware Detection0
Context-aware, Adaptive and Scalable Android Malware Detection through Online Learning (extended version)0
Data Augmentation for Opcode Sequence Based Malware Detection0
Decoding Android Malware with a Fraction of Features: An Attention-Enhanced MLP-SVM Approach0
Defending against Adversarial Malware Attacks on ML-based Android Malware Detection Systems0
Detection of Malicious Android Applications: Classical Machine Learning vs. Deep Neural Network Integrated with Clustering0
DL-Droid: Deep learning based android malware detection using real devices0
Do Gradient-based Explanations Tell Anything About Adversarial Robustness to Android Malware?0
A short review on Applications of Deep learning for Cyber security0
Investigating Feature and Model Importance in Android Malware Detection: An Implemented Survey and Experimental Comparison of ML-Based Methods0
ActDroid: An active learning framework for Android malware detection0
Adaptive and Scalable Android Malware Detection through Online Learning0
Adversarial Samples on Android Malware Detection Systems for IoT Systems0
AiDroid: When Heterogeneous Information Network Marries Deep Neural Network for Real-time Android Malware Detection0
A Multi-view Context-aware Approach to Android Malware Detection and Malicious Code Localization0
Analysis of Bayesian Classification based Approaches for Android Malware Detection0
Android Malware Detection Based on RGB Images and Multi-feature Fusion0
R2-D2: ColoR-inspired Convolutional NeuRal Network (CNN)-based AndroiD Malware Detections0
Revisiting Static Feature-Based Android Malware Detection0
Robust Android Malware Detection System against Adversarial Attacks using Q-Learning0
SEdroid: A Robust Android Malware Detector using Selective Ensemble Learning0
Semi-supervised classification for dynamic Android malware detection0
Similarity-based Android Malware Detection Using Hamming Distance of Static Binary Features0
Trust Under Siege: Label Spoofing Attacks against Machine Learning for Android Malware Detection0
Unraveling the Key of Machine Learning Solutions for Android Malware Detection0
Using Deep Neural Network for Android Malware Detection0
XAI and Android Malware Models0
EMULATOR vs REAL PHONE: Android Malware Detection Using Machine Learning0
Explaining Black-box Android Malware Detection0
Flexible Android Malware Detection Model based on Generative Adversarial Networks with Code Tensor0
Graph Neural Network-based Android Malware Classification with Jumping Knowledge0
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