| Towards an interpretable deep learning model for mobile malware detection and family identification G Iadarola, F Martinelli, F Mercaldo, A Santone Computers & Security 105, 102198, 2021 | 78 | 2021 |
| Formal methods for android banking malware analysis and detection G Iadarola, F Martinelli, F Mercaldo, A Santone 2019 Sixth International Conference on Internet of Things: Systems …, 2019 | 24 | 2019 |
| Image-based Malware Family Detection: An Assessment between Feature Extraction and Classification Techniques. G Iadarola, F Martinelli, F Mercaldo, A Santone IoTBDS, 499-506, 2020 | 17 | 2020 |
| Dynamic Mobile Malware Detection through System Call-based Image representation. R Casolare, C De Dominicis, G Iadarola, F Martinelli, F Mercaldo, ... J. Wirel. Mob. Networks Ubiquitous Comput. Dependable Appl. 12 (1), 44-63, 2021 | 16 | 2021 |
| Call graph and model checking for fine-grained android malicious behaviour detection G Iadarola, F Martinelli, F Mercaldo, A Santone Applied Sciences 10 (22), 7975, 2020 | 16 | 2020 |
| Towards explainable quantum machine learning for mobile malware detection and classification F Mercaldo, G Ciaramella, G Iadarola, M Storto, F Martinelli, A Santone Applied Sciences 12 (23), 12025, 2022 | 15 | 2022 |
| Evaluating deep learning classification reliability in android malware family detection G Iadarola, F Martinelli, F Mercaldo, A Santone 2020 IEEE International Symposium on Software Reliability Engineering …, 2020 | 15 | 2020 |
| On the resilience of shallow machine learning classification in image-based malware detection R Casolare, G Ciaramella, G Iadarola, F Martinelli, F Mercaldo, A Santone, ... Procedia Computer Science 207, 145-157, 2022 | 8 | 2022 |
| A semi-automated explainability-driven approach for malware analysis through deep learning G Iadarola, R Casolare, F Martinelli, F Mercaldo, C Peluso, A Santone 2021 International Joint Conference on Neural Networks (IJCNN), 1-8, 2021 | 8 | 2021 |
| Diabetic retinopathy detection and diagnosis by means of robust and explainable convolutional neural networks F Mercaldo, M Di Giammarco, A Apicella, G Di Iadarola, M Cesarelli, ... Neural Computing and Applications 35 (23), 17429-17441, 2023 | 6 | 2023 |
| Introducing quantum computing in mobile malware detection G Ciaramella, G Iadarola, F Mercaldo, M Storto, A Santone, F Martinelli Proceedings of the 17th International Conference on Availability …, 2022 | 5 | 2022 |
| Vulnerable smart contract detection by means of model checking G Crincoli, G Iadarola, PE La Rocca, F Martinelli, F Mercaldo, A Santone Proceedings of the Fourth ACM International Symposium on Blockchain and …, 2022 | 5 | 2022 |
| Graph-based classification for detecting instances of bug patterns G Iadarola University of Twente, 2018 | 5 | 2018 |
| Continuous and silent user authentication through mouse dynamics and explainable deep learning: A proposal G Ciaramella, G Iadarola, F Martinelli, F Mercaldo, A Santone 2022 IEEE International Conference on Big Data (Big Data), 6628-6630, 2022 | 4 | 2022 |
| Product incremental security risk assessment using DevSecOps practices S Dupont, A Yautsiukhin, G Ginis, G Iadarola, S Fagnano, F Martinelli, ... European Symposium on Research in Computer Security, 666-685, 2022 | 4 | 2022 |
| Robust Malware Classification via Deep Graph Networks on Call Graph Topologies. F Errica, G Iadarola, F Martinelli, F Mercaldo, A Micheli ESANN, 2021 | 4 | 2021 |
| Continuous and silent user authentication through mouse dynamics and explainable deep learning G Ciaramella, S Fagnano, G Iadarola, F Martinelli, F Mercaldo, A Santone 2022 21st IEEE International Conference on Machine Learning and Applications …, 2022 | 3 | 2022 |
| Explainable deep learning for Alzheimer disease classification and localisation M Di Giammarco, G Iadarola, F Martinelli, F Mercaldo, F Ravelli, ... International Conference on Applied Intelligence and Informatics, 129-143, 2022 | 3 | 2022 |
| Mobile Family Detection through Audio Signals Classification. R Casolare, G Iadarola, F Martinelli, F Mercaldo, A Santone SECRYPT, 479-486, 2021 | 3 | 2021 |
| Deep Learning for Heartbeat Phonocardiogram Signals Explainable Classification M Cesarelli, M Di Giammarco, G Iadarola, F Martinelli, F Mercaldo, ... 2022 IEEE 22nd International Conference on Bioinformatics and Bioengineering …, 2022 | 2 | 2022 |
Fabio MartinelliConsiglio Nazionale delle RicercheVerified email at iit.cnr.it
