Formal Methods for Android Banking Malware Analysis and Detection. - Giacomo Iadarola; Fabio Martinelli; Francesco Mercaldo; Antonella Santone (IoTSMS, 2019)

Image-based Malware Family Detection: An Assessment between Feature Extraction and Classification Techniques. - Giacomo Iadarola; Fabio Martinelli; Francesco Mercaldo; Antonella Santone (IoTBDS, 2020)

Evaluating Deep Learning Classification Reliability in Android Malware Family Detection. - Giacomo Iadarola; Fabio Martinelli; Francesco Mercaldo; Antonella Santone (ISSRE Workshops, 2020)

Robust Malware Classification via Deep Graph Networks on Call Graph Topologies. - Federico Errica; Giacomo Iadarola; Fabio Martinelli; Francesco Mercaldo; Alessio Micheli (ESANN, 2021)

A Semi-Automated Explainability-Driven Approach for Malware Analysis through Deep Learning. - Giacomo Iadarola; Rosangela Casolare; Fabio Martinelli; Francesco Mercaldo; Christian Peluso; Antonella Santone (IJCNN, 2021)

Perturbation of Image-based Malware Detection with Smali level morphing techniques. - Federico Gerardi; Giacomo Iadarola; Fabio Martinelli; Antonella Santone; Francesco Mercaldo (ISPA/BDCloud/SocialCom/SustainCom, 2021)

Mobile Family Detection through Audio Signals Classification. - Rosangela Casolare; Giacomo Iadarola; Fabio Martinelli; Francesco Mercaldo; Antonella Santone (SECRYPT, 2021)

Towards an interpretable deep learning model for mobile malware detection and family identification. - Giacomo Iadarola; Fabio Martinelli; Francesco Mercaldo; Antonella Santone (Comput. Secur., 2021)

Dynamic Mobile Malware Detection through System Call-based Image representation. - Rosangela Casolare; Carlo De Dominicis; Giacomo Iadarola; Fabio Martinelli; Francesco Mercaldo; Antonella Santone (J. Wirel. Mob. Networks Ubiquitous Comput. Dependable Appl., 2021)

Introducing Quantum Computing in Mobile Malware Detection. - Giovanni Ciaramella; Giacomo Iadarola; Francesco Mercaldo; Marco Storto; Antonella Santone; Fabio Martinelli (ARES, 2022)

Explainable Deep Learning for Alzheimer Disease Classification and Localisation. - Marcello Di Giammarco; Giacomo Iadarola; Fabio Martinelli; Francesco Mercaldo; Fabrizio Ravelli; Antonella Santone (AII, 2022)

Deep Learning for Heartbeat Phonocardiogram Signals Explainable Classification. - Mario Cesarelli; Marcello Di Giammarco; Giacomo Iadarola; Fabio Martinelli; Francesco Mercaldo; Antonella Santone (BIBE, 2022)

Continuous and Silent User Authentication Through Mouse Dynamics and Explainable Deep Learning: A Proposal. - Giovanni Ciaramella; Giacomo Iadarola; Fabio Martinelli; Francesco Mercaldo; Antonella Santone (IEEE Big Data, 2022)

Vulnerable Smart Contract Detection by Means of Model Checking. - Giuseppe Crincoli; Giacomo Iadarola; Piera Elena La Rocca; Fabio Martinelli; Francesco Mercaldo; Antonella Santone (BSCI, 2022)

Product Incremental Security Risk Assessment Using DevSecOps Practices. - Sébastien Dupont; Artsiom Yautsiukhin; Guillaume Ginis; Giacomo Iadarola; Stefano Fagnano; Fabio Martinelli; Christophe Ponsard; Axel Legay; Philippe Massonet (CyberICPS/SECPRE/SPOSE/CPS4CIP/CDT&SECOMAN/EIS/SecAssure@ESORICS, 2022)

Designing Robust Deep Learning Classifiers for Image-based Malware Analysis. - Giacomo Iadarola; Francesco Mercaldo; Fabio Martinelli; Antonella Santone (ICDCS, 2022)

COVID-19 Detection from Cough Recording by means of Explainable Deep Learning. - Mario Cesarelli; Marcello Di Giammarco; Giacomo Iadarola; Fabio Martinelli; Francesco Mercaldo; Antonella Santone; Michele Tavone (ICMLA, 2022)

Continuous and Silent User Authentication Through Mouse Dynamics and Explainable Deep Learning. - Giovanni Ciaramella; Stefano Fagnano; Giacomo Iadarola; Fabio Martinelli; Francesco Mercaldo; Antonella Santone (ICMLA, 2022)

Explainable Retinopathy Diagnosis and Localisation by means of Class Activation Mapping. - Marcello Di Giammarco; Giacomo Iadarola; Fabio Martinelli; Francesco Mercaldo; Antonella Santone (IJCNN, 2022)

On the Resilience of Shallow Machine Learning Classification in Image-based Malware Detection. - Rosangela Casolare; Giovanni Ciaramella; Giacomo Iadarola; Fabio Martinelli; Francesco Mercaldo; Antonella Santone; Michele Tommasone (KES, 2022)

A Model Checking-based Approach to Malicious Family Detection in iOS Environment. - Giovanni Ciaramella; Giacomo Iadarola; Fabio Martinelli; Francesco Mercaldo; Antonella Santone (KES, 2022)

A Method for Road Accident Prevention in Smart Cities based on Deep Reinforcement Learning. - Giuseppe Crincoli; Fabiana Fierro; Giacomo Iadarola; Piera Elena La Rocca; Fabio Martinelli; Francesco Mercaldo; Antonella Santone (SECRYPT, 2022)

A Real-time Method for CAN Bus Intrusion Detection by Means of Supervised Machine Learning. - Francesco Mercaldo; Rosangela Casolare; Giovanni Ciaramella; Giacomo Iadarola; Fabio Martinelli; Francesco Ranieri; Antonella Santone (SECRYPT, 2022)

Assessing Deep Learning Predictions in Image-Based Malware Detection with Activation Maps. - Giacomo Iadarola; Francesco Mercaldo; Fabio Martinelli; Antonella Santone (STM, 2022)

Fighting Cybercrime by Introducing Trustworthiness and Interpretability in Deep Learning Malware Detection. - Giacomo Iadarola; Fabio Martinelli; Francesco Mercaldo (ERCIM News, 2022)

StegWare: A Novel Malware Model Exploiting Payload Steganography and Dynamic Compilation. - Daniele Albanese; Rosangela Casolare; Giovanni Ciaramella; Giacomo Iadarola; Fabio Martinelli; Francesco Mercaldo; Marco Russodivito; Antonella Santone (ICISSP, 2023)

Benchmarking YOLO Models for Automatic Reading in Smart Metering Systems: A Performance Comparison Analysis. - Amine Hattak; Giacomo Iadarola; Fabio Martinelli; Francesco Mercaldo; Antonella Santone (ICMLA, 2023)

Explainable Deep Learning for Face Mask Detection. - Mario Cesarelli; Giacomo Iadarola; Fabio Martinelli; Francesco Mercaldo; Antonella Santone (KES, 2023)

A Method for Robust and Explainable Image-Based Network Traffic Classification with Deep Learning. - Amine Hattak; Giacomo Iadarola; Fabio Martinelli; Francesco Mercaldo; Antonella Santone (SECRYPT, 2023)

Privacy-Preserving Data Sharing for Collaborative Analytics in Multi-Modal Transportation Systems. - Daniele Albanese; Giuseppe Crincoli; Marco De Vincenzi 001; Giacomo Iadarola; Fabio Martinelli; Ilaria Matteucci; Paolo Mori (ERCIM News, 2023)

Diabetic retinopathy detection and diagnosis by means of robust and explainable convolutional neural networks. - Francesco Mercaldo; Marcello Di Giammarco; Arianna Apicella; Giacomo Iadarola; Mario Cesarelli; Fabio Martinelli; Antonella Santone (Neural Comput. Appl., 2023)

Cybersecurity-Related Tweet Classification by Explainable Deep Learning. - Giacomo Iadarola; Fabio Martinelli; Francesco Mercaldo; Luca Petrillo; Antonella Santone (ICISSP, 2024)

Picker Blinder: a framework for automatic injection of malicious inter-app communication. - Rosangela Casolare; Stefano Fagnano; Giacomo Iadarola; Fabio Martinelli; Francesco Mercaldo; Antonella Santone (J. Comput. Virol. Hacking Tech., 2024)

Explainable Ransomware Detection with Deep Learning Techniques. - Giovanni Ciaramella; Giacomo Iadarola; Fabio Martinelli; Francesco Mercaldo; Antonella Santone (J. Comput. Virol. Hacking Tech., 2024)