Robust Android Malware Detection System against Adversarial Attacks
using Q-Learning

Robust Android Malware Detection System against Adversarial Attacks using Q-Learning

27 January 2021

Papers citing "Robust Android Malware Detection System against Adversarial Attacks using Q-Learning"

11 / 11 papers shown

Title
Improving Adversarial Robustness in Android Malware Detection by Reducing the Impact of Spurious Correlations Hamid Bostani Zhengyu Zhao Veelasha Moonsamy AAML 26 0 0 27 Aug 2024
On building machine learning pipelines for Android malware detection: a procedural survey of practices, challenges and opportunities Masoud Mehrabi Koushki I. Abualhaol Anandharaju Durai Raju Yang Zhou Ronnie Salvador Giagone Huang Shengqiang 18 11 0 12 Jun 2023
Deep Reinforcement Learning for Cybersecurity Threat Detection and Protection: A Review Mohit Sewak S. K. Sahay Hemant Rathore AAML 19 23 0 06 Jun 2022
DroidRL: Reinforcement Learning Driven Feature Selection for Android Malware Detection Y. Wu Meijin Li Junfeng Wang Zhiyang Fang Qi Zeng Tao Yang Luyu Cheng 16 49 0 05 Mar 2022
EvadeDroid: A Practical Evasion Attack on Machine Learning for Black-box Android Malware Detection Hamid Bostani Veelasha Moonsamy AAML 30 50 0 07 Oct 2021
LSTM Hyper-Parameter Selection for Malware Detection: Interaction Effects and Hierarchical Selection Approach Mohit Sewak S. K. Sahay Hemant Rathore 11 4 0 23 Sep 2021
ADVERSARIALuscator: An Adversarial-DRL Based Obfuscator and Metamorphic Malware SwarmGenerator Mohit Sewak S. K. Sahay Hemant Rathore AAML 14 8 0 23 Sep 2021
DRo: A data-scarce mechanism to revolutionize the performance of Deep Learning based Security Systems Mohit Sewak S. K. Sahay Hemant Rathore 8 5 0 12 Sep 2021
Mal2GCN: A Robust Malware Detection Approach Using Deep Graph Convolutional Networks With Non-Negative Weights Omid Kargarnovin A. M. Sadeghzadeh R. Jalili AAML 13 7 0 27 Aug 2021
Deep Learning for Android Malware Defenses: a Systematic Literature Review Yue Liu C. Tantithamthavorn Li Li Yepang Liu AAML 30 77 0 09 Mar 2021
Adversarial Machine Learning at Scale Alexey Kurakin Ian Goodfellow Samy Bengio AAML 261 3,109 0 04 Nov 2016