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ORCIDGiacomo Iadarola
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2020 – today
- 2024
[j5]Giovanni Ciaramella, Giacomo Iadarola, Fabio Martinelli, Francesco Mercaldo, Antonella Santone:
Explainable Ransomware Detection with Deep Learning Techniques. J. Comput. Virol. Hacking Tech. 20(2): 317-330 (2024)- [j4]Rosangela Casolare, Stefano Fagnano, Giacomo Iadarola, Fabio Martinelli, Francesco Mercaldo, Antonella Santone:
Picker Blinder: a framework for automatic injection of malicious inter-app communication. J. Comput. Virol. Hacking Tech. 20(2): 331-346 (2024) - [c27]Giacomo Iadarola, Fabio Martinelli, Francesco Mercaldo, Luca Petrillo, Antonella Santone:
Cybersecurity-Related Tweet Classification by Explainable Deep Learning. ICISSP 2024: 438-445 - 2023
- [j3]Francesco Mercaldo
, Marcello Di Giammarco, Arianna Apicella, Giacomo Iadarola, Mario Cesarelli, Fabio Martinelli, Antonella Santone:
Diabetic retinopathy detection and diagnosis by means of robust and explainable convolutional neural networks. Neural Comput. Appl. 35(23): 17429-17441 (2023) - [c26]Daniele Albanese, Rosangela Casolare, Giovanni Ciaramella, Giacomo Iadarola, Fabio Martinelli, Francesco Mercaldo, Marco Russodivito, Antonella Santone:
StegWare: A Novel Malware Model Exploiting Payload Steganography and Dynamic Compilation. ICISSP 2023: 741-748 - [c25]Amine Hattak, Giacomo Iadarola, Fabio Martinelli, Francesco Mercaldo, Antonella Santone:
Benchmarking YOLO Models for Automatic Reading in Smart Metering Systems: A Performance Comparison Analysis. ICMLA 2023: 2207-2213 - [c24]Mario Cesarelli, Giacomo Iadarola, Fabio Martinelli, Francesco Mercaldo, Antonella Santone:
Explainable Deep Learning for Face Mask Detection. KES 2023: 128-133 - [c23]Amine Hattak, Giacomo Iadarola, Fabio Martinelli, Francesco Mercaldo, Antonella Santone:
A Method for Robust and Explainable Image-Based Network Traffic Classification with Deep Learning. SECRYPT 2023: 385-393 - [i2]Daniele Albanese, Giuseppe Crincoli, Marco De Vincenzi, Giacomo Iadarola, Fabio Martinelli, Ilaria Matteucci, Paolo Mori:
Privacy-Preserving Data Sharing for Collaborative Analytics in Multi-Modal Transportation Systems. ERCIM News 2023(133) (2023) - 2022
- [c22]Giovanni Ciaramella, Giacomo Iadarola, Francesco Mercaldo, Marco Storto, Antonella Santone, Fabio Martinelli:
Introducing Quantum Computing in Mobile Malware Detection. ARES 2022: 88:1-88:8 - [c21]Marcello Di Giammarco, Giacomo Iadarola, Fabio Martinelli, Francesco Mercaldo, Fabrizio Ravelli, Antonella Santone:
Explainable Deep Learning for Alzheimer Disease Classification and Localisation. AII 2022: 129-143 - [c20]Mario Cesarelli, Marcello Di Giammarco, Giacomo Iadarola, Fabio Martinelli, Francesco Mercaldo, Antonella Santone:
Deep Learning for Heartbeat Phonocardiogram Signals Explainable Classification. BIBE 2022: 75-78 - [c19]Giovanni Ciaramella, Giacomo Iadarola, Fabio Martinelli, Francesco Mercaldo, Antonella Santone:
Continuous and Silent User Authentication Through Mouse Dynamics and Explainable Deep Learning: A Proposal. IEEE Big Data 2022: 6628-6630 - [c18]Giuseppe Crincoli, Giacomo Iadarola, Piera Elena La Rocca, Fabio Martinelli, Francesco Mercaldo, Antonella Santone:
Vulnerable Smart Contract Detection by Means of Model Checking. BSCI 2022: 3-10 - [c17]Sébastien Dupont, Artsiom Yautsiukhin, Guillaume Ginis, Giacomo Iadarola, Stefano Fagnano, Fabio Martinelli, Christophe Ponsard, Axel Legay, Philippe Massonet:
Product Incremental Security Risk Assessment Using DevSecOps Practices. CyberICPS/SECPRE/SPOSE/CPS4CIP/CDT&SECOMAN/EIS/SecAssure@ESORICS 2022: 666-685 - [c16]Giacomo Iadarola, Francesco Mercaldo, Fabio Martinelli, Antonella Santone:
Designing Robust Deep Learning Classifiers for Image-based Malware Analysis. ICDCS 2022: 1265-1267 - [c15]Mario Cesarelli, Marcello Di Giammarco, Giacomo Iadarola, Fabio Martinelli, Francesco Mercaldo, Antonella Santone, Michele Tavone:
COVID-19 Detection from Cough Recording by means of Explainable Deep Learning. ICMLA 2022: 1702-1707 - [c14]Giovanni Ciaramella, Stefano Fagnano, Giacomo Iadarola, Fabio Martinelli, Francesco Mercaldo, Antonella Santone:
Continuous and Silent User Authentication Through Mouse Dynamics and Explainable Deep Learning. ICMLA 2022: 1791-1798 - [c13]Marcello Di Giammarco, Giacomo Iadarola, Fabio Martinelli, Francesco Mercaldo, Antonella Santone:
Explainable Retinopathy Diagnosis and Localisation by means of Class Activation Mapping. IJCNN 2022: 1-8 - [c12]Rosangela Casolare, Giovanni Ciaramella, Giacomo Iadarola, Fabio Martinelli, Francesco Mercaldo, Antonella Santone, Michele Tommasone:
On the Resilience of Shallow Machine Learning Classification in Image-based Malware Detection. KES 2022: 145-157 - [c11]Giovanni Ciaramella, Giacomo Iadarola, Fabio Martinelli, Francesco Mercaldo, Antonella Santone:
A Model Checking-based Approach to Malicious Family Detection in iOS Environment. KES 2022: 1981-1991 - [c10]Giuseppe Crincoli, Fabiana Fierro, Giacomo Iadarola, Piera Elena La Rocca, Fabio Martinelli, Francesco Mercaldo, Antonella Santone:
A Method for Road Accident Prevention in Smart Cities based on Deep Reinforcement Learning. SECRYPT 2022: 513-518 - [c9]Francesco Mercaldo, Rosangela Casolare, Giovanni Ciaramella, Giacomo Iadarola, Fabio Martinelli, Francesco Ranieri, Antonella Santone:
A Real-time Method for CAN Bus Intrusion Detection by Means of Supervised Machine Learning. SECRYPT 2022: 534-539 - [c8]Giacomo Iadarola, Francesco Mercaldo, Fabio Martinelli, Antonella Santone:
Assessing Deep Learning Predictions in Image-Based Malware Detection with Activation Maps. STM 2022: 104-114 - [i1]Giacomo Iadarola, Fabio Martinelli, Francesco Mercaldo:
Fighting Cybercrime by Introducing Trustworthiness and Interpretability in Deep Learning Malware Detection. ERCIM News 2022(129): 0 (2022) - 2021
- [j2]Giacomo Iadarola, Fabio Martinelli, Francesco Mercaldo, Antonella Santone:
Towards an interpretable deep learning model for mobile malware detection and family identification. Comput. Secur. 105: 102198 (2021) - [j1]Rosangela Casolare, Carlo De Dominicis, Giacomo Iadarola, Fabio Martinelli, Francesco Mercaldo, Antonella Santone:
Dynamic Mobile Malware Detection through System Call-based Image representation. J. Wirel. Mob. Networks Ubiquitous Comput. Dependable Appl. 12(1): 44-63 (2021) - [c7]Federico Errica, Giacomo Iadarola, Fabio Martinelli, Francesco Mercaldo, Alessio Micheli:
Robust Malware Classification via Deep Graph Networks on Call Graph Topologies. ESANN 2021 - [c6]Giacomo Iadarola, Rosangela Casolare, Fabio Martinelli, Francesco Mercaldo, Christian Peluso, Antonella Santone:
A Semi-Automated Explainability-Driven Approach for Malware Analysis through Deep Learning. IJCNN 2021: 1-8 - [c5]Federico Gerardi, Giacomo Iadarola, Fabio Martinelli, Antonella Santone, Francesco Mercaldo:
Perturbation of Image-based Malware Detection with Smali level morphing techniques. ISPA/BDCloud/SocialCom/SustainCom 2021: 1651-1656 - [c4]Rosangela Casolare, Giacomo Iadarola, Fabio Martinelli, Francesco Mercaldo, Antonella Santone:
Mobile Family Detection through Audio Signals Classification. SECRYPT 2021: 479-486 - 2020
- [c3]Giacomo Iadarola, Fabio Martinelli, Francesco Mercaldo, Antonella Santone:
Image-based Malware Family Detection: An Assessment between Feature Extraction and Classification Techniques. IoTBDS 2020: 499-506 - [c2]Giacomo Iadarola, Fabio Martinelli, Francesco Mercaldo, Antonella Santone:
Evaluating Deep Learning Classification Reliability in Android Malware Family Detection. ISSRE Workshops 2020: 255-260
2010 – 2019
- 2019
- [c1]Giacomo Iadarola, Fabio Martinelli, Francesco Mercaldo, Antonella Santone:
Formal Methods for Android Banking Malware Analysis and Detection. IoTSMS 2019: 331-336
Coauthor Index
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last updated on 2024-10-07 21:16 CEST by the dblp team
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