Search Results for author: Shifu Hou

Found 3 papers, 2 papers with code

Adaptive Kernel Graph Neural Network

1 code implementation8 Dec 2021 Mingxuan Ju, Shifu Hou, Yujie Fan, Jianan Zhao, Liang Zhao, Yanfang Ye

To solve this problem, in this paper, we propose a novel framework - i. e., namely Adaptive Kernel Graph Neural Network (AKGNN) - which learns to adapt to the optimal graph kernel in a unified manner at the first attempt.

Representation Learning

heterogeneous temporal graph transformer: an intelligent system for evolving android malware detection

1 code implementation KDD 2021 Yujie Fan, Mingxuan Ju, Shifu Hou, Yanfang Ye, Wenqiang Wan, Kui Wang, Yinming Mei, Qi Xiong

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.

Android Malware Detection Malware Detection +2

AiDroid: When Heterogeneous Information Network Marries Deep Neural Network for Real-time Android Malware Detection

no code implementations2 Nov 2018 Yanfang Ye, Shifu Hou, Lingwei Chen, Jingwei Lei, Wenqiang Wan, Jiabin Wang, Qi Xiong, Fudong Shao

In this paper, we first extract the runtime Application Programming Interface (API) call sequences from Android apps, and then analyze higher-level semantic relations within the ecosystem to comprehensively characterize the apps.

Android Malware Detection Malware Detection +1

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