SteælErgon: A Framework for Injecting Colluding Malicious Payload in Android Applications. - Rosangela Casolare; Giovanni Ciaramella; Fabio Martinelli; Francesco Mercaldo; Antonella Santone (ARES, 2021)

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

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)

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 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)

Obfuscated Mobile Malware Detection by Means of Dynamic Analysis and Explainable Deep Learning. - Francesco Mercaldo; Giovanni Ciaramella; Antonella Santone; Fabio Martinelli (ARES, 2023)

Explainable Deep Learning for Smart Grid Stability Detection. - Giovanni Ciaramella; Fabio Martinelli; Francesco Mercaldo; Antonella Santone (IEEE Big Data, 2023)

A Proposal for Trustworthy Artificial Intelligence. - Giovanni Ciaramella; Fabio Martinelli; Francesco Mercaldo; Antonella Santone (IEEE Big Data, 2023)

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)

Exploring Quantum Machine Learning for Explainable Malware Detection. - Giovanni Ciaramella; Fabio Martinelli; Francesco Mercaldo; Antonella Santone (IJCNN, 2023)

DroidDefender: An Image-based Android Antimalware Proof-of-Concept. - Giovanni Ciaramella; Fabio Martinelli; Francesco Mercaldo; Antonella Santone (CODASPY, 2024)

A Federated Learning-Based Android Malware Detector Through Differential Privacy. - Christian Peluso; Giovanni Ciaramella; Francesco Mercaldo; Antonella Santone; Fabio Martinelli (EUROCAST (3), 2024)

An Approach for Privacy-Preserving Mobile Malware Detection Through Federated Machine Learning. - Giovanni Ciaramella; Fabio Martinelli; Francesco Mercaldo; Christian Peluso; Antonella Santone (ICEIS (1), 2024)

Dynamic Analysis for Explainable Fine-Grained Android Malware Detection. - Giovanni Ciaramella; Francesco Mercaldo; Antonella Santone (STM, 2024)

A Proposal for Privacy-preserving Ransomware Detection by means of Federated Machine Learning. - Giovanni Ciaramella; Fabio Martinelli; Francesco Mercaldo (ERCIM News, 2024)

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

Explainable Ransomware Detection through Static Analysis and Machine Learning. - Giovanni Ciaramella; Fabio Martinelli; Antonella Santone; Francesco Mercaldo (CSR, 2025)

Explainable Malware Detection by means of Federated Machine Learning. - Giovanni Ciaramella; Fabio Martinelli; Antonella Santone; Francesco Mercaldo (CSR, 2025)

FLIP: A tool for Explainable Federated Learning for Image Processing. - Giovanni Ciaramella; Fabio Martinelli; Antonella Santone; Francesco Mercaldo (ICHI, 2025)

Leveraging Pre-trained LLMs for GDPR Compliance in Online Privacy Policies. - Giovanni Ciaramella; Luca Petrillo; Margaret Varilek; Francesco Mercaldo; Giovanni Comandè; Fabio Martinelli (ITASEC/SERICS, 2025)

A Method for Packed (and Unpacked) Malware Detection by Means of Convolutional Neural Networks. - Giovanni Ciaramella; Fabio Martinelli; Antonella Santone; Francesco Mercaldo (SECRYPT, 2025)

Towards Quantum Machine Learning in Ransomware Detection. - Francesco Mercaldo; Giovanni Ciaramella; Fabio Martinelli; Antonella Santone (SECRYPT, 2025)

A method for real-world privacy-preserving Android malware detection through Federated Machine Learning. - Giovanni Ciaramella; Fabio Martinelli; Christian Peluso; Antonella Santone; Francesco Mercaldo (Inf. Softw. Technol., 2026)