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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"

35 / 35 papers shown

Title
On the Security Risks of ML-based Malware Detection Systems: A Survey Ping He Yuhao Mao Changjiang Li Lorenzo Cavallaro Ting Wang Shouling Ji 270 0 0 16 May 2025
Evaluating the robustness of adversarial defenses in malware detection systems Mostafa Jafari Alireza Shameli-Sendi AAML 118 1 0 14 May 2025
FCGHunter: Towards Evaluating Robustness of Graph-Based Android Malware Detection Shiwen Song Xiaofei Xie Ruitao Feng Qi Guo Sen Chen AAML 207 0 0 28 Apr 2025
Defending against Adversarial Malware Attacks on ML-based Android Malware Detection Systems Ping He Lorenzo Cavallaro R. Beyah AAML 319 2 0 23 Jan 2025
MASKDROID: Robust Android Malware Detection with Masked Graph RepresentationsInternational Conference on Automated Software Engineering (ASE), 2024 Jingnan Zheng Jiaohao Liu An Zhang Jun Zeng Ziqi Yang Zhenkai Liang Tat-Seng Chua AAML 117 5 0 29 Sep 2024
Bayesian Learned Models Can Detect Adversarial Malware For Free Bao Gia Doan Dang Quang Nguyen Paul Montague Tamas Abraham O. Vel S. Çamtepe S. Kanhere Ehsan Abbasnejad Damith C. Ranasinghe AAML 150 1 0 27 Mar 2024
Unraveling the Key of Machine Learning Solutions for Android Malware Detection Jiahao Liu Jun Zeng Fabio Pierazzi Lorenzo Cavallaro Zhenkai Liang AAML 147 11 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 118 8 0 05 Jan 2024
Can you See me? On the Visibility of NOPs against Android Malware Detectors Diego Soi Davide Maiorca Giorgio Giacinto Harel Berger AAML 88 1 0 28 Dec 2023
MalPurifier: Enhancing Android Malware Detection with Adversarial Purification against Evasion Attacks Yuyang Zhou Guang Cheng Zongyao Chen Shui Yu AAML 309 5 0 11 Dec 2023
Efficient Query-Based Attack against ML-Based Android Malware Detection under Zero Knowledge SettingConference on Computer and Communications Security (CCS), 2023 Ping He Yifan Xia Xuhong Zhang R. Beyah AAML 137 22 0 05 Sep 2023
PAD: Towards Principled Adversarial Malware Detection Against Evasion AttacksIEEE Transactions on Dependable and Secure Computing (IEEE TDSC), 2023 Deqiang Li Shicheng Cui Yun Li Jia Xu Fu Xiao Shouhuai Xu AAML 243 24 0 22 Feb 2023
Problem-Space Evasion Attacks in the Android OS: a Survey Harel Berger Chen Hajaj A. Dvir 230 2 0 29 May 2022
Evaluating Membership Inference Through Adversarial RobustnessComputer/law journal (JITPL), 2022 Zhaoxi Zhang L. Zhang Xufei Zheng Bilal Hussain Abbasi Shengshan Hu AAML 160 19 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 174 3 0 09 May 2022
Adversarial Patterns: Building Robust Android Malware ClassifiersACM Computing Surveys (ACM CSUR), 2022 Dipkamal Bhusal Nidhi Rastogi AAML 251 4 0 04 Mar 2022
MaMaDroid2.0 -- The Holes of Control Flow Graphs Harel Berger Chen Hajaj Enrico Mariconti A. Dvir 131 4 0 28 Feb 2022
StratDef: Strategic Defense Against Adversarial Attacks in ML-based Malware DetectionComputers & security (Comput. Secur.), 2022 Aqib Rashid Jose Such AAML 367 10 0 15 Feb 2022
FAAG: Fast Adversarial Audio Generation through Interactive Attack Optimisation Yuantian Miao Chao Chen Lei Pan Jun Zhang Yang Xiang AAML 154 4 0 11 Feb 2022
EvadeDroid: A Practical Evasion Attack on Machine Learning for Black-box Android Malware Detection Hamid Bostani Veelasha Moonsamy AAML 298 71 0 07 Oct 2021
Brief View and Analysis to Latest Android Security Issues and Approaches Ruicong Huang AAML 53 1 0 02 Sep 2021
HomDroid: Detecting Android Covert Malware by Social-Network Homophily AnalysisInternational Symposium on Software Testing and Analysis (ISSTA), 2021 Yueming Wu Deqing Zou Wei Yang Xiang Li Hai Jin 69 22 0 10 Jul 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 206 0 0 09 Jun 2021
Resilient and Adaptive Framework for Large Scale Android Malware Fingerprinting using Deep Learning and NLP Techniques E. Karbab M. Debbabi AAML 79 5 0 27 May 2021
Privacy Inference Attacks and Defenses in Cloud-based Deep Neural Network: A Survey Xiaoyu Zhang Chao Chen Yi Xie Xiaofeng Chen Jun Zhang Yang Xiang FedML 94 7 0 13 May 2021
Metamorphic Detection of Repackaged MalwareInternational Workshop on Metamorphic Testing (IWMT), 2021 S. Singh Gail E. Kaiser 75 9 0 27 Apr 2021
Deep Learning for Android Malware Defenses: a Systematic Literature ReviewACM Computing Surveys (CSUR), 2021 Yue Liu Chakkrit Tantithamthavorn Li Li Yepang Liu AAML 226 98 0 09 Mar 2021
I Want My App That Way: Reclaiming Sovereignty Over Personal Devices Konrad Kollnig Siddhartha Datta Max Van Kleek 114 29 0 23 Feb 2021
Adversarial Deep Ensemble: Evasion Attacks and Defenses for Malware Detection Deqiang Li Qianmu Li AAML 154 143 0 30 Jun 2020
Arms Race in Adversarial Malware Detection: A Survey Deqiang Li Qianmu Li Yanfang Ye Shouhuai Xu AAML 210 55 0 24 May 2020
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 157 119 0 11 May 2020
When the Guard failed the Droid: A case study of Android malware Harel Berger Chen Hajaj A. Dvir AAML 90 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 133 41 0 10 Feb 2020
Don't Pick the Cherry: An Evaluation Methodology for Android Malware Detection Methods Aleieldin Salem Sebastian Banescu A. Pretschner 91 10 0 25 Mar 2019
Daedalus: Breaking Non-Maximum Suppression in Object Detection via Adversarial Examples Derui Wang Chaoran Li S. Wen Qing-Long Han Surya Nepal Xiangyu Zhang Yang Xiang AAML 203 43 0 06 Feb 2019