EvadeDroid: A Practical Evasion Attack on Machine Learning for Black-box Android Malware Detection

7 October 2021

Papers citing "EvadeDroid: A Practical Evasion Attack on Machine Learning for Black-box Android Malware Detection"

12 / 12 papers shown

Title
Evaluating the Robustness of Adversarial Defenses in Malware Detection Systems Mostafa Jafari Alireza Shameli-Sendi AAML 7 0 0 14 May 2025
Defending against Adversarial Malware Attacks on ML-based Android Malware Detection Systems Ping He Lorenzo Cavallaro Shouling Ji AAML 34 0 0 23 Jan 2025
Decoding Android Malware with a Fraction of Features: An Attention-Enhanced MLP-SVM Approach Safayat Bin Hakim M. Adil Kamal Acharya Houbing Herbert Song AAML 24 1 0 28 Sep 2024
Improving Adversarial Robustness in Android Malware Detection by Reducing the Impact of Spurious Correlations Hamid Bostani Zhengyu Zhao Veelasha Moonsamy AAML 21 0 0 27 Aug 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 24 3 0 05 Jan 2024
Efficient Query-Based Attack against ML-Based Android Malware Detection under Zero Knowledge Setting Ping He Yifan Xia Xuhong Zhang Shouling Ji AAML 18 11 0 05 Sep 2023
Problem-Space Evasion Attacks in the Android OS: a Survey Harel Berger Chen Hajaj A. Dvir 16 2 0 29 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 13 3 0 09 May 2022
Adversarial Patterns: Building Robust Android Malware Classifiers Dipkamal Bhusal Nidhi Rastogi AAML 21 1 0 04 Mar 2022
A Survey on Adversarial Attacks for Malware Analysis Kshitiz Aryal Maanak Gupta Mahmoud Abdelsalam AAML 13 49 0 16 Nov 2021
MAB-Malware: A Reinforcement Learning Framework for Attacking Static Malware Classifiers Wei Song Xuezixiang Li Sadia Afroz D. Garg Dmitry Kuznetsov Heng Yin AAML 40 27 0 06 Mar 2020
The Threat of Adversarial Attacks on Machine Learning in Network Security -- A Survey Olakunle Ibitoye Rana Abou-Khamis Mohamed el Shehaby Ashraf Matrawy M. O. Shafiq AAML 11 68 0 06 Nov 2019