Do Gradient-based Explanations Tell Anything About Adversarial Robustness to Android Malware?

no code implementations • 4 May 2020 • Marco Melis, Michele Scalas, Ambra Demontis, Davide Maiorca, Battista Biggio, Giorgio Giacinto, Fabio Roli

While machine-learning algorithms have demonstrated a strong ability in detecting Android malware, they can be evaded by sparse evasion attacks crafted by injecting a small set of fake components, e. g., permissions and system calls, without compromising intrusive functionality.

Adversarial Robustness Android Malware Detection +1

On the Effectiveness of System API-Related Information for Android Ransomware Detection

no code implementations • 24 May 2018 • Michele Scalas, Davide Maiorca, Francesco Mercaldo, Corrado Aaron Visaggio, Fabio Martinelli, Giorgio Giacinto

The attained results showed that systems based on System API could detect ransomware and generic malware with very good accuracy, comparable to systems that employed more complex information.

Android Malware Detection Malware Detection