100 citations · 100 across the 2 of their papers we have counts for
3 papers
cs.LG2020
Do Gradient-based Explanations Tell Anything About Adversarial Robustness to Android Malware?
Marco Melis, Michele Scalas, Ambra Demontis +4
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…
cs.CR2019
Automotive Cybersecurity: Foundations for Next-Generation Vehicles
Michele Scalas, Giorgio Giacinto
The automotive industry is experiencing a serious transformation due to a digitalisation process and the transition to the new paradigm of Mobility-as-a-Service. The next-generatio…
cs.CR2018★ 100 cited
On the Effectiveness of System API-Related Information for Android Ransomware Detection
Michele Scalas, Davide Maiorca, Francesco Mercaldo +3
Ransomware constitutes a significant threat to the Android operating system. It can either lock or encrypt the target devices, and victims are forced to pay ransoms to restore thei…