IADAROLA, GIACOMO
IADAROLA, GIACOMO
A Semi-Automated Explainability-Driven Approach for Malware Analysis through Deep Learning
2021 Iadarola, G; Casolare, R; Martinelli, F; Mercaldo, F; Peluso, C; Santone, A
Call Graph and Model Checking for Fine-Grained Android Malicious Behaviour Detection
2020 Iadarola, G; Martinelli, F; Mercaldo, F; Santone, A
Detailed investigation of the low energy secondary electron yield of technical Cu and its relevance for the LHC
2015 Cimino, R.; Gonzalez, L. A.; Larciprete, R.; Di Gaspare, A.; Iadarola, G.; Rumolo, G.
Detailed investigation of the low energy secondary electron yield of technical Cu and its relevance for the LHC
2014 Cimino, R.; Gonzalez, L. A.; Iadarola, G.; Rumolo, G.; Romano, A.; Larciprete, R.
Dynamic mobile malware detection through system call-based image representation
2021 Casolare, R; De Dominicis, C; Iadarola, G; Martinelli, F; Mercaldo, F; Santone, A
Evaluating Deep Learning Classification Reliability in Android Malware Family Detection
2020 Iadarola G. ; Martinelli F. ; Mercaldo F. ; Santone A.
Formal Methods for Android Banking Malware Analysis and Detection
2019 G. Iadarola ; F. Martinelli ; F. Mercaldo ; A. Santone
Mobile family detection through audio signals classification
2021 Casolare, R; Iadarola, G; Martinelli, F; Mercaldo, F; Santone, A
Privacy-Preserving Data Sharing for Collaborative Analytics in Multi-Modal Transportation Systems.
2023 Albanese, D; Crincoli, G; DE VINCENZI, Marco; Iadarola, G; Martinelli, F; Matteucci, I; Mori, P
Product Incremental Security Risk Assessment using DevSecOps Practices
2022 Dupont, S; Yautsiukhin, A; Ginis, G; Iadarola, G; Fagnano, S; Martinelli, F; Ponsard, C; Legay, A; Massonet, P
Towards an interpretable deep learning model for mobile malware detection and family identification
2021 Iadarola, G; Martinelli, F; Mercaldo, F; Santone, A
| Titolo | Data di pubblicazione | Autore(i) | File |
|---|---|---|---|
| A Semi-Automated Explainability-Driven Approach for Malware Analysis through Deep Learning | 1-gen-2021 | Iadarola, G; Casolare, R; Martinelli, F; Mercaldo, F; Peluso, C; Santone, A | |
| Call Graph and Model Checking for Fine-Grained Android Malicious Behaviour Detection | 1-gen-2020 | Iadarola, G; Martinelli, F; Mercaldo, F; Santone, A | |
| Detailed investigation of the low energy secondary electron yield of technical Cu and its relevance for the LHC | 1-gen-2015 | Cimino, R.; Gonzalez, L. A.; Larciprete, R.; Di Gaspare, A.; Iadarola, G.; Rumolo, G. | |
| Detailed investigation of the low energy secondary electron yield of technical Cu and its relevance for the LHC | 1-gen-2014 | Cimino, R.; Gonzalez, L. A.; Iadarola, G.; Rumolo, G.; Romano, A.; Larciprete, R. | |
| Dynamic mobile malware detection through system call-based image representation | 1-gen-2021 | Casolare, R; De Dominicis, C; Iadarola, G; Martinelli, F; Mercaldo, F; Santone, A | |
| Evaluating Deep Learning Classification Reliability in Android Malware Family Detection | 1-gen-2020 | Iadarola G. ; Martinelli F. ; Mercaldo F. ; Santone A. | |
| Formal Methods for Android Banking Malware Analysis and Detection | 1-gen-2019 | G. Iadarola ; F. Martinelli ; F. Mercaldo ; A. Santone | |
| Mobile family detection through audio signals classification | 1-gen-2021 | Casolare, R; Iadarola, G; Martinelli, F; Mercaldo, F; Santone, A | |
| Privacy-Preserving Data Sharing for Collaborative Analytics in Multi-Modal Transportation Systems. | 1-gen-2023 | Albanese, D; Crincoli, G; DE VINCENZI, Marco; Iadarola, G; Martinelli, F; Matteucci, I; Mori, P | |
| Product Incremental Security Risk Assessment using DevSecOps Practices | 1-gen-2022 | Dupont, S; Yautsiukhin, A; Ginis, G; Iadarola, G; Fagnano, S; Martinelli, F; Ponsard, C; Legay, A; Massonet, P | |
| Towards an interpretable deep learning model for mobile malware detection and family identification | 1-gen-2021 | Iadarola, G; Martinelli, F; Mercaldo, F; Santone, A |