Data Provenance for healthcare: a blockchain-based approach. - Salvatore D'Antonio; Federica Uccello (COMPSAC, 2022)

Detection of Radio Frequency Interference in Satellite Ground Segments. - Luigi Coppolino; Salvatore D'Antonio; Federica Uccello; Anastasios Lyratzis; Constantinos Bakalis; Souzana Touloumtzi; Ioannis Papoutsis (CSR, 2023)

Effective Rules for a Rule-Based SIEM System in Detecting DoS Attacks: An Association Rule Mining Approach. - Federica Uccello; Marek Pawlicki; Salvatore D'Antonio; Rafal Kozik; Michal Choras (ICAI (2), 2023)

A Tamper-Resistant Storage Framework for Smart Grid security. - Salvatore D'Antonio; Roberto Nardone; Nicola Russo; Federica Uccello (PDP, 2023)

A Novel Approach to the Use of Explainability to Mine Network Intrusion Detection Rules. - Federica Uccello; Marek Pawlicki; Salvatore D'Antonio; Rafal Kozik; Michal Choras (ACIIDS (1), 2024)

Towards Hybrid NIDS: Combining Rule-Based SIEM with AI-Based Intrusion Detectors. - Federica Uccello; Marek Pawlicki; Salvatore D'Antonio; Rafal Kozik; Michal Choras (ACR, 2024)

A Novel Approach for Securing Federated Learning: Detection and Defense Against Model Poisoning Attacks. - Giovanni Maria Cristiano; Salvatore D'Antonio; Federica Uccello (CSR, 2024)

Enhancing Healthcare Data Confidentiality through Decentralized TEE Attestation. - Salvatore D'Antonio; Jonah Giglio; Giovanni Mazzeo; Federica Uccello; Teresa Mannarino (CSR, 2024)

Secure and Transparent Data Sharing Among Connected Devices: Integrating Data Spaces and Provenance. - Roberto Nardone; Alfredo Petruolo; Federica Uccello (CSR, 2024)

An Innovative Approach to Real-Time Concept Drift Detection in Network Security. - Federica Uccello; Marek Pawlicki; Salvatore D'Antonio; Rafal Kozik; Michal Choras (EIDWT, 2024)

A Novel Method of Improving Intrusion Detection Systems Robustness Against Adversarial Attacks, Through Feature Omission and a Committee of Classifiers. - Marek Pawlicki; Federica Uccello; Salvatore D'Antonio; Rafal Kozik; Michal Choras (ESORICS Workshops (2), 2024)

The Evaluation of Adversarial Attacks Against ML-Powered NIDS in a Realistic Scenario. - Federica Uccello; Marek Pawlicki; Aleksandra Pawlicka; Salvatore D'Antonio; Rafal Kozik; Michal Choras (ICAI (1), 2024)

Comparative Analysis of AI-Based Methods for Enhancing Cybersecurity Monitoring Systems. - Federica Uccello; Marek Pawlicki; Salvatore D'Antonio; Rafal Kozik; Michal Choras (ICCSA (Workshops 2), 2024)

Exploiting Data Spaces to Enable Privacy Preserving Data Exchange in the Energy Supply Chain. - Luigi Coppolino; Alessandro De Crecchio; Roberto Nardone; Alfredo Petruolo; Luigi Romano; Federica Uccello (ITASEC, 2024)

Evaluating the necessity of the multiple metrics for assessing explainable AI: A critical examination. - Marek Pawlicki; Aleksandra Pawlicka; Federica Uccello; Sebastian Szelest; Salvatore D'Antonio; Rafal Kozik; Michal Choras (Neurocomputing, 2024)

The good, the bad, and the algorithm: The impact of generative AI on cybersecurity. - Luigi Coppolino; Salvatore D'Antonio; Giovanni Mazzeo; Federica Uccello (Neurocomputing, 2025)