A Study on Malware Detection and Classification Using the Analysis of API Calls Sequences Through Shallow Learning and Recurrent Neural Networks. - Angelo Cannarile; Francesco Carrera; Stefano Galantucci; Andrea Iannacone; Giuseppe Pirlo (ITASEC, 2022)

Unbalanced Web Phishing Classification through Deep Reinforcement Learning. - Antonio Maci; Alessandro Santorsola; Antonio Coscia; Andrea Iannacone (Comput., 2023)

SINNER: A Reward-Sensitive Algorithm for Imbalanced Malware Classification Using Neural Networks with Experience Replay. - Antonio Coscia; Andrea Iannacone; Antonio Maci; Alessandro Stamerra (Inf., 2024)

MAGICIAN: Malware classification Approach through Generation Image using a Conditional and wassersteIn generative Adversarial Network variants. - Stefano Galantucci; Andrea Iannacone; Giuseppe Pirlo; Lucia Sarcinella; Alessandro Stamerra (ICAIC, 2025)

CNN-AutoMIC: Combining convolutional neural network and autoencoder to learn non-linear features for KNN-based malware image classification. - Simone Andriani; Stefano Galantucci; Andrea Iannacone; Antonio Maci; Giuseppe Pirlo (Comput. Secur., 2025)

CARIOCA: prioritizing the use of IoC by threats assessment shared on the MISP platform. - Piero Delvecchio; Stefano Galantucci; Andrea Iannacone; Giuseppe Pirlo (Int. J. Inf. Sec., 2025)