521 citations · 711 across the 8 of their papers we have counts for
8 papers
apk2vec: Semi-supervised multi-view representation learning for profiling Android applications
Annamalai Narayanan, Charlie Soh, Lihui Chen +2
Building behavior profiles of Android applications (apps) with holistic, rich and multi-view information (e.g., incorporating several semantic views of an app such as API sequences…
AndroVault: Constructing Knowledge Graph from Millions of Android Apps for Automated Analysis
Guozhu Meng, Yinxing Xue, Jing Kai Siow +3
Data driven research on Android has gained a great momentum these years. The abundance of data facilitates knowledge learning, however, also increases the difficulty of data prepro…
graph2vec: Learning Distributed Representations of Graphs
Annamalai Narayanan, Mahinthan Chandramohan, Rajasekar Venkatesan +3
Recent works on representation learning for graph structured data predominantly focus on learning distributed representations of graph substructures such as nodes and subgraphs. Ho…
Context-aware, Adaptive and Scalable Android Malware Detection through Online Learning (extended version)
Annamalai Narayanan, Mahinthan Chandramohan, Lihui Chen +1
It is well-known that Android malware constantly evolves so as to evade detection. This causes the entire malware population to be non-stationary. Contrary to this fact, most of th…
A Multi-view Context-aware Approach to Android Malware Detection and Malicious Code Localization
Annamalai Narayanan, Mahinthan Chandramohan, Lihui Chen +1
Existing Android malware detection approaches use a variety of features such as security sensitive APIs, system calls, control-flow structures and information flows in conjunction…
subgraph2vec: Learning Distributed Representations of Rooted Sub-graphs from Large Graphs
Annamalai Narayanan, Mahinthan Chandramohan, Lihui Chen +2
In this paper, we present subgraph2vec, a novel approach for learning latent representations of rooted subgraphs from large graphs inspired by recent advancements in Deep Learning…