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Giovanni Ciaramella

Towards Explainable Quantum Machine Learning for Mobile Malware Detection and Classification
2022 · Francesco Mercaldo, Giovanni Ciaramella, et al. · Applied Sciences · 39
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Explainable Ransomware Detection with Deep Learning Techniques
2023 · Giovanni Ciaramella, Giacomo Iadarola, et al. · Journal of Computer Virology and Hacking Techniques · 32
A method for smart grid intrusion detection through explainable deep learning
2025 · Giovanni Ciaramella, Fabio Martinelli, et al. · Journal of Computer Virology and Hacking Techniques · 28
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On the Resilience of Shallow Machine Learning Classification in Image-based Malware Detection
2022 · Rosangela Casolare, Giovanni Ciaramella, et al. · Procedia Computer Science · 17
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Introducing Quantum Computing in Mobile Malware Detection
2022 · Giovanni Ciaramella, Giacomo Iadarola, et al. · International Conference on Availability, Reliability and Security (ARES) · 15
Obfuscated Mobile Malware Detection by Means of Dynamic Analysis and Explainable Deep Learning
2023 · Francesco Mercaldo, Giovanni Ciaramella, et al. · International Conference on Availability, Reliability and Security (ARES) · 7
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Exploring Quantum Machine Learning for Explainable Malware Detection
2023 · Giovanni Ciaramella, Fabio Martinelli, et al. · International Joint Conference on Neural Networks (IJCNN) · 7
Dynamic Analysis for Explainable Fine-Grained Android Malware Detection
2024 · Giovanni Ciaramella, Francesco Mercaldo, et al. · Lecture notes in computer science · 6
A method for real-world privacy-preserving Android malware detection through Federated Machine Learning
2025 · Giovanni Ciaramella, Fabio Martinelli, et al. · Information and Software Technology · 5
An Approach for Privacy-Preserving Mobile Malware Detection Through Federated Machine Learning
2024 · Giovanni Ciaramella, Fabio Martinelli, et al. · International Conference on Enterprise Information Systems · 5
Continuous and Silent User Authentication Through Mouse Dynamics and Explainable Deep Learning
2022 · Giovanni Ciaramella, Stefano Fagnano, et al. · International Conference on Machine Learning and Applications · 5
A Model Checking-based Approach to Malicious Family Detection in iOS Environment
2022 · Giovanni Ciaramella, Giacomo Iadarola, et al. · Procedia Computer Science · 5
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Continuous and Silent User Authentication Through Mouse Dynamics and Explainable Deep Learning: A Proposal
2022 · Giovanni Ciaramella, Giacomo Iadarola, et al. · IEEE International Conference on Big Data (BigData) · 4
SteælErgon: A Framework for Injecting Colluding Malicious Payload in Android Applications
2021 · Rosangela Casolare, Giovanni Ciaramella, et al. · International Conference on Availability, Reliability and Security (ARES) · 4
A Privacy-Preserving Method for Explainable Multiple Sclerosis Detection Through Federated Machine Learning
2026 · Filomena Niro, Miriam Di Renzo, et al. · Lecture notes in computer science · 3
Explainable Deep Learning for Smart Grid Stability Detection
2023 · Giovanni Ciaramella, Fabio Martinelli, et al. · IEEE International Conference on Big Data (BigData) · 3
A Federated Machine Learning Method for Malicious Smart Contract Detection
2025 · Giovanni Ciaramella, Fabio Martinelli, et al. · International Conference on Blockchain Computing and Applications (BCCA) · 2
A Federated Learning-Based Android Malware Detector Through Differential Privacy
2025 · Christian Peluso, Giovanni Ciaramella, et al. · Lecture notes in computer science · 2
A Proposal for Trustworthy Artificial Intelligence
2023 · Giovanni Ciaramella, Fabio Martinelli, et al. · IEEE International Conference on Big Data (BigData) · 2
StegWare: A Novel Malware Model Exploiting Payload Steganography and Dynamic Compilation
2023 · Daniele Albanese, Rosangela Casolare, et al. · International Conference on Information Systems Security and Privacy (ICISSP) · 2
A Real-time Method for CAN Bus Intrusion Detection by Means of Supervised Machine Learning
2022 · Francesco Mercaldo, Rosangela Casolare, et al. · International Conference on Security and Cryptography · 2
A Privacy-Preserving and Explainable Method for Diabetic Retinopathy Classification and Localization
2026 · Giovanni Ciaramella, Mario Cesarelli, et al. · IEEE Access · 1
Explainable Malware Detection by means of Federated Machine Learning
2025 · Giovanni Ciaramella, Fabio Martinelli, et al. · IEEE International Conference on Cyber Security and Resilience (CSR) · 1
Explainable Ransomware Detection through Static Analysis and Machine Learning
2025 · Giovanni Ciaramella, Fabio Martinelli, et al. · IEEE International Conference on Cyber Security and Resilience (CSR) · 1
FLIP: A tool for Explainable Federated Learning for Image Processing
2025 · Giovanni Ciaramella, Fabio Martinelli, et al. · IEEE International Conference on Healthcare Informatics (ICHI) · 1
Works count: 34
Citation count: 199
H-index: 7
I10-index: 5
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