Android HIV: A Study of Repackaging Malware for Evading Machine-Learning
Detection

Android HIV: A Study of Repackaging Malware for Evading Machine-Learning Detection

10 August 2018

Papers citing "Android HIV: A Study of Repackaging Malware for Evading Machine-Learning Detection"

18 / 18 papers shown

Title
FCGHunter: Towards Evaluating Robustness of Graph-Based Android Malware Detection Shiwen Song Xiaofei Xie Ruitao Feng Qi Guo Sen Chen AAML 45 0 0 28 Apr 2025
Unraveling the Key of Machine Learning Solutions for Android Malware Detection Jiahao Liu Jun Zeng Fabio Pierazzi Lorenzo Cavallaro Zhenkai Liang AAML 26 7 0 05 Feb 2024
MalModel: Hiding Malicious Payload in Mobile Deep Learning Models with Black-box Backdoor Attack Jiayi Hua Kailong Wang Meizhen Wang Guangdong Bai Xiapu Luo Haoyu Wang AAML 34 3 0 05 Jan 2024
PAD: Towards Principled Adversarial Malware Detection Against Evasion Attacks Deqiang Li Shicheng Cui Yun Li Jia Xu Fu Xiao Shouhuai Xu AAML 54 18 0 22 Feb 2023
Problem-Space Evasion Attacks in the Android OS: a Survey Harel Berger Chen Hajaj A. Dvir 21 2 0 29 May 2022
Evaluating Membership Inference Through Adversarial Robustness Zhaoxi Zhang L. Zhang Xufei Zheng Bilal Hussain Abbasi Shengshan Hu AAML 57 14 0 14 May 2022
Do You Think You Can Hold Me? The Real Challenge of Problem-Space Evasion Attacks Harel Berger A. Dvir Chen Hajaj Rony Ronen AAML 26 3 0 09 May 2022
MaMaDroid2.0 -- The Holes of Control Flow Graphs Harel Berger Chen Hajaj Enrico Mariconti A. Dvir 33 4 0 28 Feb 2022
StratDef: Strategic Defense Against Adversarial Attacks in ML-based Malware Detection Aqib Rashid Jose Such AAML 21 5 0 15 Feb 2022
EvadeDroid: A Practical Evasion Attack on Machine Learning for Black-box Android Malware Detection Hamid Bostani Veelasha Moonsamy AAML 35 51 0 07 Oct 2021
Information flow based defensive chain for data leakage detection and prevention: a survey Ning Xi Chao Chen Jun Zhang Cong Sun Shigang Liu Pengbin Feng Jianfeng Ma 13 0 0 09 Jun 2021
Metamorphic Detection of Repackaged Malware S. Singh Gail E. Kaiser 24 8 0 27 Apr 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
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 33 103 0 11 May 2020
When the Guard failed the Droid: A case study of Android malware Harel Berger Chen Hajaj A. Dvir AAML 25 7 0 31 Mar 2020
Droidetec: Android Malware Detection and Malicious Code Localization through Deep Learning Zhuo Ma Haoran Ge Zhuzhu Wang Yang Liu Ximeng Liu 11 38 0 10 Feb 2020
Don't Pick the Cherry: An Evaluation Methodology for Android Malware Detection Methods Aleieldin Salem Sebastian Banescu A. Pretschner 11 10 0 25 Mar 2019
Adversarial examples in the physical world Alexey Kurakin Ian Goodfellow Samy Bengio SILM AAML 287 5,837 0 08 Jul 2016