SeqMobile: A Sequence Based Efficient Android Malware Detection System Using RNN on Mobile Devices

10 November 2020

Papers citing "SeqMobile: A Sequence Based Efficient Android Malware Detection System Using RNN on Mobile Devices"

5 / 5 papers shown

Title
Multi-label Classification for Android Malware Based on Active Learning Qijing Qiao Ruitao Feng Sen Chen Fei Zhang Xiaohong Li 22 7 0 09 Oct 2024
Deep Learning Models for Detecting Malware Attacks Pascal Maniriho A. N. Mahmood M. Chowdhury AAML 16 5 0 08 Sep 2022
Contrastive Learning for Robust Android Malware Familial Classification Yueming Wu Shihan Dou Deqing Zou Wei Yang Weizhong Qiang Hai Jin AAML 14 13 0 08 Jul 2021
A Performance-Sensitive Malware Detection System Using Deep Learning on Mobile Devices Ruitao Feng Sen Chen Xiaofei Xie Guozhu Meng Shang-Wei Lin Yang Liu 28 102 0 11 May 2020
Why an Android App is Classified as Malware? Towards Malware Classification Interpretation Bozhi Wu Sen Chen Cuiyun Gao Lingling Fan Yang Liu W. Wen Michael R. Lyu 31 54 0 24 Apr 2020