On the effectiveness of system API-related information for Android ransomware detection M Scalas, D Maiorca, F Mercaldo, CA Visaggio, F Martinelli, G Giacinto Computers & Security 86, 168-182, 2019 | 108 | 2019 |
Automotive cybersecurity: Foundations for next-generation vehicles M Scalas, G Giacinto 2019 2nd International Conference on new Trends in Computing Sciences (ICTCS …, 2019 | 43 | 2019 |
Do gradient-based explanations tell anything about adversarial robustness to android malware? M Melis, M Scalas, A Demontis, D Maiorca, B Biggio, G Giacinto, F Roli International journal of machine learning and cybernetics, 1-16, 2022 | 35 | 2022 |
On the feasibility of adversarial sample creation using the android system api F Cara, M Scalas, G Giacinto, D Maiorca Information 11 (9), 433, 2020 | 21 | 2020 |
Explanation-Driven Characterization of Android Ransomware M Scalas, K Rieck, G Giacinto Pattern Recognition. ICPR International Workshops and Challenges, 228-242, 2021 | 8 | 2021 |
On the role of explainable machine learning for secure smart vehicles M Scalas, G Giacinto 2020 AEIT International Conference of Electrical and Electronic Technologies …, 2020 | 8 | 2020 |
Malware Analysis and Detection with Explainable Machine Learning M Scalas University of Cagliari, 2021 | 5 | 2021 |
Improving malware detection with explainable machine learning M Scalas, K Rieck, G Giacinto Explainable Deep Learning AI, 217-238, 2023 | 2 | 2023 |