Mobile Security
4 papers with code • 0 benchmarks • 1 datasets
Benchmarks
These leaderboards are used to track progress in Mobile Security
Dataset of Context information for Zero Interaction Security
Latest papers
heterogeneous temporal graph transformer: an intelligent system for evolving android malware detection
kdd2021drdroid/KDD2021_DrDroid
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KDD 2021
To capture malware evolution, we further consider the temporal dependence and introduce a heterogeneous temporal graph to jointly model malware propagation and evolution by considering heterogeneous spatial dependencies with temporal dimensions.
Deep Learning for Android Malware Defenses: a Systematic Literature Review
yueyueL/DL-based-Android-Malware-Defenses-review
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In this paper, we conducted a systematic literature review to search and analyze how deep learning approaches have been applied in the context of malware defenses in the Android environment.
Robustness of on-device Models: Adversarial Attack to Deep Learning Models on Android Apps
Deep learning has shown its power in many applications, including object detection in images, natural-language understanding, and speech recognition.
AndroShield: Automated Android Applications Vulnerability Detection, a Hybrid Static and Dynamic Analysis Approach
The security of mobile applications has become a major research field which is associated with a lot of challenges.
