Stay Thrifty, Stay Secure: A VPN-based Assurance Framework for Hybrid Systems. - Marco Anisetti; Claudio A. Ardagna; Nicola Bena; Ernesto Damiani (ICETE (2), 2020)

An Assurance Framework and Process for Hybrid Systems. - Marco Anisetti; Claudio A. Ardagna; Nicola Bena; Ernesto Damiani (ICETE (Selected Papers), 2020)

Towards an Assurance Framework for Edge and IoT Systems. - Marco Anisetti; Claudio Agostino Ardagna; Nicola Bena; Ruslan Bondaruc (EDGE, 2021)

An Assurance-Based Risk Management Framework for Distributed Systems. - Marco Anisetti; Claudio Agostino Ardagna; Nicola Bena; Andrea Foppiani (ICWS, 2021)

Bridging the Gap Between Certification and Software Development. - Claudio A. Ardagna; Nicola Bena; Ramon Martín de Pozuelo (ARES, 2022)

A DevSecOps-based Assurance Process for Big Data Analytics. - Marco Anisetti; Nicola Bena; Filippo Berto; Gwanggil Jeon (ICWS, 2022)

Security Assurance in Modern IoT Systems. - Nicola Bena; Ruslan Bondaruc; Antongiacomo Polimeno (VTC Spring, 2022)

On the Robustness of Ensemble-Based Machine Learning Against Data Poisoning. - Marco Anisetti; Claudio A. Ardagna; Alessandro Balestrucci; Nicola Bena; Ernesto Damiani; Chan Yeob Yeun (CoRR, 2022)

New data poison attacks on machine learning classifiers for mobile exfiltration. - Miguel A. Ramirez; Sangyoung Yoon; Ernesto Damiani; Hussam M. N. Al Hamadi; Claudio Agostino Ardagna; Nicola Bena; Young-Ji Byon; Tae-Yeon Kim 001; Chung-Suk Cho; Chan Yeob Yeun (CoRR, 2022)

Non-Functional Certification of Modern Distributed Systems: A Research Manifesto. - Claudio A. Ardagna; Nicola Bena (SSE, 2023)

Continuous Certification of Non-functional Properties Across System Changes. - Marco Anisetti; Claudio A. Ardagna; Nicola Bena (ICSOC (1), 2023)

Lightweight Behavior-Based Malware Detection. - Marco Anisetti; Claudio A. Ardagna; Nicola Bena; Vincenzo Giandomenico; Gabriele Gianini (MEDES, 2023)

Explainable Data Poison Attacks on Human Emotion Evaluation Systems Based on EEG Signals. - Zhibo Zhang; Sani Umar; Ahmed Y. Al Hammadi; Sangyoung Yoon; Ernesto Damiani; Claudio Agostino Ardagna; Nicola Bena; Chan Yeob Yeun (IEEE Access, 2023)

Towards Certification of Machine Learning-Based Distributed Systems. - Marco Anisetti; Claudio A. Ardagna; Nicola Bena; Ernesto Damiani (CoRR, 2023)

Managing ML-Based Application Non-Functional Behavior: A Multi-Model Approach. - Marco Anisetti; Claudio A. Ardagna; Nicola Bena; Ernesto Damiani; Paolo G. Panero (CoRR, 2023)

Rethinking Certification for Trustworthy Machine-Learning-Based Applications. - Marco Anisetti; Claudio A. Ardagna; Nicola Bena; Ernesto Damiani (IEEE Internet Comput., 2023)

Multi-Dimensional Certification of Modern Distributed Systems. - Marco Anisetti; Claudio Agostino Ardagna; Nicola Bena (IEEE Trans. Serv. Comput., 2023)

On the Robustness of Random Forest Against Untargeted Data Poisoning: An Ensemble-Based Approach. - Marco Anisetti; Claudio A. Ardagna; Alessandro Balestrucci; Nicola Bena; Ernesto Damiani; Chan Yeob Yeun (IEEE Trans. Sustain. Comput., 2023)

Big Data Assurance: An Approach Based on Service-Level Agreements. - Claudio A. Ardagna; Nicola Bena; Cédric Hébert; Maria Krotsiani; Christos Kloukinas; George Spanoudakis (Big Data, 2023)

Decolonizing Federated Learning: Designing Fair and Responsible Resource Allocation. - Genoveva Vargas-Solar; Nadia Bennani; Javier A. Espinosa-Oviedo; Andrea Mauri 001; José-Luis Zechinelli-Martini; Barbara Catania; Claudio A. Ardagna; Nicola Bena (AICCSA, 2024)

A Transparent Certification Scheme Based on Blockchain for Service-Based Systems. - Nicola Bena; Marco Pedrinazzi; Marco Anisetti; Omar Hasan; Lionel Brunie (ICWS, 2024)

Revisiting Trust Management in the Data Economy: A Road Map. - Claudio A. Ardagna; Nicola Bena; Nadia Bennani; Chirine Ghedira Guégan; Nicolò Grecchi; Genoveva Vargas-Solar (IEEE Internet Comput., 2024)

Certifying Accuracy, Privacy, and Robustness of ML-Based Malware Detection. - Nicola Bena; Marco Anisetti; Gabriele Gianini; Claudio A. Ardagna (SN Comput. Sci., 2024)

Techno/Ecofeminism in Action: Fair and Responsible Resource Allocation for Sustainable Data Science Pipelines. - Genoveva Vargas-Solar; José-Luis Zechinelli-Martini; Claudio Agostino Ardagna; Nicola Bena; Nadia Bennani; Barbara Catania; Javier-Alfonso Espinosa-Oviedo; Chirine Ghedira Guégan; Andrea Mauri 001 (EDBT/ICDT Workshops, 2025)

Protecting machine learning from poisoning attacks: A risk-based approach. - Nicola Bena; Marco Anisetti; Ernesto Damiani; Chan Yeob Yeun; Claudio A. Ardagna (Comput. Secur., 2025)

Continuous Management of Machine Learning-Based Application Behavior. - Marco Anisetti; Claudio A. Ardagna; Nicola Bena; Ernesto Damiani; Paolo G. Panero (IEEE Trans. Serv. Comput., 2025)

Proceedings of the 3rd Italian Conference on Big Data and Data Science (ITADATA2024). - Nicola Bena; Claudia Diamantini; Michela Natilli; Luigi Romano; Giovanni Stilo; Valentina Pansanella; Claudio A. Ardagna; Anna Monreale; Roberto Trasarti (CoRR, 2025)

Workshop Scientific HPC in the pre-Exascale era (part of ITADATA 2024) Proceedings. - Nicola Bena; Claudia Diamantini; Michela Natilli; Luigi Romano; Giovanni Stilo; Valentina Pansanella; Claudio A. Ardagna; Anna Monreale; Roberto Trasarti; Valentina Cesare; Gianluca Mittone; Emanuele De Rubeis; et al. (CoRR, 2025)