[HTML][HTML] Evadedroid: A practical evasion attack on machine learning for black-box android malware detection
H Bostani, V Moonsamy - Computers & Security, 2024 - Elsevier
Over the last decade, researchers have extensively explored the vulnerabilities of Android
malware detectors to adversarial examples through the development of evasion attacks; …
malware detectors to adversarial examples through the development of evasion attacks; …
Unraveling the Key of Machine Learning Solutions for Android Malware Detection
Android malware detection serves as the front line against malicious apps. With the rapid
advancement of machine learning (ML), ML-based Android malware detection has attracted …
advancement of machine learning (ML), ML-based Android malware detection has attracted …
Famd: A Few-Shot Android Malware Family Detection Framework
F Zhou, D Wang, Y Xiong, K Sun, W Wang - Available at SSRN 4727003 - papers.ssrn.com
Android malware is a major cyber threat to the popular Android platform which may
influence millions of end users. To battle against Android malware, a large number of …
influence millions of end users. To battle against Android malware, a large number of …