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Giacomo Iadarola

Observed names: Giacomo Di Iadarola, IADAROLA, GIACOMO, Iadarola G.
ORCID: 0000-0001-7060-6233
Observed ORCID: 0000-0001-7060-6233
OpenAlex ID: A5080298186
Towards an interpretable deep learning model for mobile malware detection and family identification
2021 · Giacomo Iadarola, Fabio Martinelli, et al. · Computers & Security · 118
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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Diabetic retinopathy detection and diagnosis by means of robust and explainable convolutional neural networks
2023 · Francesco Mercaldo, Marcello Di Giammarco, et al. · Neural Computing and Applications · 34
Explainable Ransomware Detection with Deep Learning Techniques
2023 · Giovanni Ciaramella, Giacomo Iadarola, et al. · Journal of Computer Virology and Hacking Techniques · 32
Image-based Malware Family Detection: An Assessment between Feature Extraction and Classification Techniques
2020 · Giacomo Iadarola, Fabio Martinelli, et al. · International Conference on Internet of Things, Big Data and Security (IoTBDS) · 26
Formal Methods for Android Banking Malware Analysis and Detection
2019 · Giacomo Iadarola, Fabio Martinelli, et al. · International Conference on Internet of Things: Systems, Management and Security (IOTSMS) · 24
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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A Semi-Automated Explainability-Driven Approach for Malware Analysis through Deep Learning
2021 · Giacomo Iadarola, Rosangela Casolare, et al. · International Joint Conference on Neural Networks (IJCNN) · 16
Evaluating Deep Learning Classification Reliability in Android Malware Family Detection
2020 · Giacomo Iadarola, Fabio Martinelli, et al. · IEEE International Symposium on Software Reliability Engineering Workshops (ISSREW) · 16
Introducing Quantum Computing in Mobile Malware Detection
2022 · Giovanni Ciaramella, Giacomo Iadarola, et al. · International Conference on Availability, Reliability and Security (ARES) · 15
Call Graph and Model Checking for Fine-Grained Android Malicious Behaviour Detection
2020 · Giacomo Iadarola, Fabio Martinelli, et al. · Applied Sciences · 15
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Explainable Retinopathy Diagnosis and Localisation by means of Class Activation Mapping
2022 · Marcello Di Giammarco, Giacomo Iadarola, et al. · International Joint Conference on Neural Networks (IJCNN) · 12
Explainable Deep Learning for Alzheimer Disease Classification and Localisation
2022 · Marcello Di Giammarco, Giacomo Iadarola, et al. · Communications in computer and information science · 11
Vulnerable Smart Contract Detection by Means of Model Checking
2022 · Giuseppe Crincoli, Giacomo Iadarola, et al. · ACM International Symposium on Blockchain and Secure Critical Infrastructure (BSCI) · 10
Product Incremental Security Risk Assessment Using DevSecOps Practices
2023 · Sébastien Dupont, Artsiom Yautsiukhin, et al. · Lecture notes in computer science · 8
Benchmarking YOLO Models for Automatic Reading in Smart Metering Systems: A Performance Comparison Analysis
2023 · Amine Hattak, Giacomo Iadarola, et al. · International Conference on Machine Learning and Applications · 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
Deep Learning for Heartbeat Phonocardiogram Signals Explainable Classification
2022 · Mario Cesarelli, Marcello Di Giammarco, et al. · IEEE International Conference on Bioinformatics and Bioengineering (BIBE) · 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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Mobile Family Detection through Audio Signals Classification
2021 · Rosangela Casolare, Giacomo Iadarola, et al. · International Conference on Security and Cryptography · 5
Robust Malware Classification via Deep Graph Networks on Call Graph Topologies
2021 · Federico Errica, Giacomo Iadarola, et al. · European Symposium on Artificial Neural Networks, Computational Intelligence and Machine Learning (ESANN) · 5
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Dynamic mobile malware detection through system call-based image representation
2021 · Casolare R., De Dominicis C., et al. · Archivio Istituzionale della Ricerca - Università degli Studi del Molise · 5
Picker Blinder: a framework for automatic injection of malicious inter-app communication
2024 · Rosangela Casolare, Stefano Fagnano, et al. · Journal of Computer Virology and Hacking Techniques · 4
Assessing Deep Learning Predictions in Image-Based Malware Detection with Activation Maps
2023 · Giacomo Iadarola, Francesco Mercaldo, et al. · Lecture notes in computer science · 4
A Method for Robust and Explainable Image-Based Network Traffic Classification with Deep Learning
2023 · Amine Hattak, Giacomo Iadarola, et al. · International Conference on Security and Cryptography · 4
Works count: 37
Citation count: 457
H-index: 12
I10-index: 14
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