Unraveling the Key of Machine Learning Solutions for Android Malware Detection

no code implementations • 5 Feb 2024 • Jiahao Liu, Jun Zeng, Fabio Pierazzi, Lorenzo Cavallaro, Zhenkai Liang

Android malware detection serves as the front line against malicious apps.

Android Malware Detection Feature Engineering +1

Adversarial Neural Network Inversion via Auxiliary Knowledge Alignment

1 code implementation • 22 Feb 2019 • Ziqi Yang, Ee-Chien Chang, Zhenkai Liang

In this work, we investigate the model inversion problem in the adversarial settings, where the adversary aims at inferring information about the target model's training data and test data from the model's prediction values.

Monet: A User-oriented Behavior-based Malware Variants Detection System for Android

no code implementations • 10 Dec 2016 • Mingshen Sun, Xiaolei Li, John C. S. Lui, Richard T. B. Ma, Zhenkai Liang

We present the design and implementation of MONET, which has a client and a backend server module.

Cryptography and Security