Time series forecasting for predictive maintenance of refrigeration systems. - Tullio Facchinetti; Marco Arazzi; Antonino Nocera (DASC/PiCom/CBDCom/CyberSciTech, 2022)

Analysis of Video Lessons: a Case for Smart indexing and Topic Extraction. - Marco Arazzi; Marco Ferretti; Antonino Nocera (itaDATA, 2022)

An enhanced behavioral fingerprinting approach for the Internet of Things. - Alberico Aramini; Marco Arazzi; Tullio Facchinetti; Laurence S. Q. N. Ngankem; Antonino Nocera (WFCS, 2022)

Turning Privacy-preserving Mechanisms against Federated Learning. - Marco Arazzi; Mauro Conti; Antonino Nocera; Stjepan Picek (CCS, 2023)

Predicting Tweet Engagement with Graph Neural Networks. - Marco Arazzi; Marco Cotogni; Antonino Nocera; Luca Virgili (ICMR, 2023)

Semantic Hierarchical Indexing for Online Video Lessons Using Natural Language Processing. - Marco Arazzi; Marco Ferretti; Antonino Nocera (Big Data Cogn. Comput., 2023)

BlindSage: Label Inference Attacks against Node-level Vertical Federated Graph Neural Networks. - Marco Arazzi; Mauro Conti; Stefanos Koffas; Marina Krcek; Antonino Nocera; Stjepan Picek; Jing Xu 028 (CoRR, 2023)

The importance of the language for the evolution of online communities: An analysis based on Twitter and Reddit. - Marco Arazzi; Serena Nicolazzo; Antonino Nocera; Manuel Zippo (Expert Syst. Appl., 2023)

The role of social media on the evolution of companies: A Twitter analysis of Streaming Service Providers. - Marco Arazzi; Marco Ferretti; Serena Nicolazzo; Antonino Nocera (Online Soc. Networks Media, 2023)

How COVID-19 affects user interaction with online streaming service providers on twitter. - Marco Arazzi; Daniele Murer; Serena Nicolazzo; Antonino Nocera (Soc. Netw. Anal. Min., 2023)

A Privacy-Preserving Byzantine-Aware Swarm Learning Framework for CTI. - Marco Arazzi; Dincy R. Arikkat; Mert Cihangiroglu; K. M. Sameera (ACSAC Workshops, 2024)

Privacy-preserving in Blockchain-based Federated Learning systems. - K. M. Sameera; Serena Nicolazzo; Marco Arazzi; Antonino Nocera; Rafidha Rehiman K. A.; Vinod P. 001; Mauro Conti (Comput. Commun., 2024)

KDk: A Defense Mechanism Against Label Inference Attacks in Vertical Federated Learning. - Marco Arazzi; Serena Nicolazzo; Antonino Nocera (CoRR, 2024)

Let's Focus: Focused Backdoor Attack against Federated Transfer Learning. - Marco Arazzi; Stefanos Koffas; Antonino Nocera; Stjepan Picek (CoRR, 2024)

A deep reinforcement learning approach for security-aware service acquisition in IoT. - Marco Arazzi; Serena Nicolazzo; Antonino Nocera (J. Inf. Secur. Appl., 2024)

A novel IoT trust model leveraging fully distributed behavioral fingerprinting and secure delegation. - Marco Arazzi; Serena Nicolazzo; Antonino Nocera (Pervasive Mob. Comput., 2024)

PhotoStyle60: A Photographic Style Dataset for Photo Authorship Attribution and Photographic Style Transfer. - Marco Cotogni; Marco Arazzi; Claudio Cusano (IEEE Trans. Multim., 2024)

The SemIoE Ontology: A Semantic Model Solution for an IoE-Based Industry. - Marco Arazzi; Antonino Nocera; Emanuele Storti (IEEE Internet Things J., 2024)

NLP-based techniques for Cyber Threat Intelligence. - Marco Arazzi; Dincy R. Arikkat; Serena Nicolazzo; Antonino Nocera; Rafidha Rehiman K. A.; Vinod P. 001; Mauro Conti (Comput. Sci. Rev., 2025)

Evading model poisoning attacks in federated learning by a long-short-term-memory-based approach. - Marco Arazzi; Gianluca Lax; Antonino Nocera (Integr. Comput. Aided Eng., 2025)

A defense mechanism against label inference attacks in Vertical Federated Learning. - Marco Arazzi; Serena Nicolazzo; Antonino Nocera (Neurocomputing, 2025)

DroidTTP: Mapping android applications with TTP for Cyber Threat Intelligence. - Dincy R. Arikkat; P. Vinod 001; Rafidha Rehiman K. A.; Serena Nicolazzo; Marco Arazzi; Antonino Nocera; Mauro Conti (J. Inf. Secur. Appl., 2025)

Subject Data Auditing via Source Inference Attack in Cross-Silo Federated Learning. - Jiaxin Li; Marco Arazzi; Antonino Nocera; Mauro Conti (J. Inf. Secur. Appl., 2025)

Augmented Knowledge Graph Querying leveraging LLMs. - Marco Arazzi; Davide Ligari; Serena Nicolazzo; Antonino Nocera (CoRR, 2025)

Secure Federated Data Distillation. - Marco Arazzi; Mert Cihangiroglu; Serena Nicolazzo; Antonino Nocera (CoRR, 2025)

A Fully Privacy-Preserving Solution for Anomaly Detection in IoT using Federated Learning and Homomorphic Encryption. - Marco Arazzi; Serena Nicolazzo; Antonino Nocera (Inf. Syst. Frontiers, 2025)

Privacy Preserving and Robust Aggregation for Cross-Silo Federated Learning in Non-IID Settings. - Marco Arazzi; Mert Cihangiroglu; Antonino Nocera (CoRR, 2025)

XBreaking: Explainable Artificial Intelligence for Jailbreaking LLMs. - Marco Arazzi; Vignesh Kumar Kembu; Antonino Nocera; Vinod P. 001 (CoRR, 2025)

When Forgetting Triggers Backdoors: A Clean Unlearning Attack. - Marco Arazzi; Antonino Nocera; Vinod P 001 (CoRR, 2025)