Giacomo Iadarola

Publication Activity (10 Years)

Years Active: 2019-2024
Publications (10 Years): 34

Top Topics

Fighting Cybercrime

Malware Detection

Top Venues

Publications

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) (2024)
Giacomo Iadarola, Fabio Martinelli, Francesco Mercaldo, Luca Petrillo, Antonella Santone
Cybersecurity-Related Tweet Classification by Explainable Deep Learning. ICISSP (2024)
Giovanni Ciaramella, Giacomo Iadarola, Fabio Martinelli, Francesco Mercaldo, Antonella Santone
Explainable Ransomware Detection with Deep Learning Techniques. J. Comput. Virol. Hacking Tech. 20 (2) (2024)
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) (2023)
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)
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)
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)
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)
Mario Cesarelli, Giacomo Iadarola, Fabio Martinelli, Francesco Mercaldo, Antonella Santone
Explainable Deep Learning for Face Mask Detection. KES (2023)
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)
Giacomo Iadarola, Francesco Mercaldo, Fabio Martinelli, Antonella Santone
Assessing Deep Learning Predictions in Image-Based Malware Detection with Activation Maps. STM (2022)
Marcello Di Giammarco, Giacomo Iadarola, Fabio Martinelli, Francesco Mercaldo, Antonella Santone
Explainable Retinopathy Diagnosis and Localisation by means of Class Activation Mapping. IJCNN (2022)
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)
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)
Marcello Di Giammarco, Giacomo Iadarola, Fabio Martinelli, Francesco Mercaldo, Fabrizio Ravelli, Antonella Santone
Explainable Deep Learning for Alzheimer Disease Classification and Localisation. AII (2022)
Giovanni Ciaramella, Giacomo Iadarola, Fabio Martinelli, Francesco Mercaldo, Antonella Santone
Continuous and Silent User Authentication Through Mouse Dynamics and Explainable Deep Learning: A Proposal. Big Data (2022)
Mario Cesarelli, Marcello Di Giammarco, Giacomo Iadarola, Fabio Martinelli, Francesco Mercaldo, Antonella Santone
Deep Learning for Heartbeat Phonocardiogram Signals Explainable Classification. BIBE (2022)
Giovanni Ciaramella, Giacomo Iadarola, Fabio Martinelli, Francesco Mercaldo, Antonella Santone
A Model Checking-based Approach to Malicious Family Detection in iOS Environment. KES (2022)
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)
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)
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)
Giacomo Iadarola, Francesco Mercaldo, Fabio Martinelli, Antonella Santone
Designing Robust Deep Learning Classifiers for Image-based Malware Analysis. ICDCS (2022)
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)
Giovanni Ciaramella, Giacomo Iadarola, Francesco Mercaldo, Marco Storto, Antonella Santone, Fabio Martinelli
Introducing Quantum Computing in Mobile Malware Detection. ARES (2022)
Giacomo Iadarola, Fabio Martinelli, Francesco Mercaldo
Fighting Cybercrime by Introducing Trustworthiness and Interpretability in Deep Learning Malware Detection. ERCIM News 2022 (129) (2022)
Giacomo Iadarola, Fabio Martinelli, Francesco Mercaldo, Antonella Santone
Towards an interpretable deep learning model for mobile malware detection and family identification. Comput. Secur. 105 (2021)
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)
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) (2021)
Rosangela Casolare, Giacomo Iadarola, Fabio Martinelli, Francesco Mercaldo, Antonella Santone
Mobile Family Detection through Audio Signals Classification. SECRYPT (2021)
Federico Errica, Giacomo Iadarola, Fabio Martinelli, Francesco Mercaldo, Alessio Micheli
Robust Malware Classification via Deep Graph Networks on Call Graph Topologies. ESANN (2021)
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)
Giacomo Iadarola, Fabio Martinelli, Francesco Mercaldo, Antonella Santone
Image-based Malware Family Detection: An Assessment between Feature Extraction and Classification Techniques. IoTBDS (2020)
Giacomo Iadarola, Fabio Martinelli, Francesco Mercaldo, Antonella Santone
Evaluating Deep Learning Classification Reliability in Android Malware Family Detection. ISSRE Workshops (2020)
Giacomo Iadarola, Fabio Martinelli, Francesco Mercaldo, Antonella Santone
Formal Methods for Android Banking Malware Analysis and Detection. IoTSMS (2019)