From Explainable to Reliable Artificial Intelligence. - Sara Narteni; Melissa Ferretti; Vanessa Orani; Ivan Vaccari; Enrico Cambiaso; Maurizio Mongelli (CD-MAKE, 2021)

On the Feasibility of Covert Channels through Short-Message-Service. - Sara Narteni; Ivan Vaccari; Maurizio Mongelli; Maurizio Aiello; Enrico Cambiaso (ITASEC, 2021)

Perpetrate Cyber-threats using IoT Devices as Attack Vector: The ESP8266 Use Case. - Ivan Vaccari; Sara Narteni; Maurizio Mongelli; Maurizio Aiello; Enrico Cambiaso (ITASEC, 2021)

Exploiting Internet of Things Protocols for Malicious Data Exfiltration Activities. - Ivan Vaccari; Sara Narteni; Maurizio Aiello; Maurizio Mongelli; Enrico Cambiaso (IEEE Access, 2021)

Evaluating the Possibility to Perpetrate Tunneling Attacks Exploiting Short-Message-Service. - Sara Narteni; Ivan Vaccari; Maurizio Mongelli; Maurizio Aiello; Enrico Cambiaso (J. Internet Serv. Inf. Secur., 2021)

A New XAI-based Evaluation of Generative Adversarial Networks for IMU Data Augmentation. - Sara Narteni; Vanessa Orani; Enrico Ferrari; Damiano Verda; Enrico Cambiaso; Maurizio Mongelli (HealthCom, 2022)

On The Detection Of Adversarial Attacks Through Reliable AI. - Ivan Vaccari; Alberto Carlevaro; Sara Narteni; Enrico Cambiaso; Maurizio Mongelli (INFOCOM Workshops, 2022)

Bag-of-Words Similarity in eXplainable AI. - Sara Narteni; Melissa Ferretti; Vittorio Rampa; Maurizio Mongelli (IntelliSys (2), 2022)

On the Intersection of Explainable and Reliable AI for Physical Fatigue Prediction. - Sara Narteni; Vanessa Orani; Enrico Cambiaso; Matteo Rucco; Maurizio Mongelli (IEEE Access, 2022)

eXplainable and Reliable Against Adversarial Machine Learning in Data Analytics. - Ivan Vaccari; Alberto Carlevaro; Sara Narteni; Enrico Cambiaso; Maurizio Mongelli (IEEE Access, 2022)

Sensitivity of Logic Learning Machine for Reliability in Safety-Critical Systems. - Sara Narteni; Vanessa Orani; Ivan Vaccari; Enrico Cambiaso; Maurizio Mongelli (IEEE Intell. Syst., 2022)

CONFIDERAI: CONFormal Interpretable-by-Design score function for Explainable and Reliable Artificial Intelligence. - Sara Narteni; Alberto Carlevaro; Fabrizio Dabbene; Marco Muselli; Maurizio Mongelli (COPA, 2023)

Weighted Mutual Information for Out-Of-Distribution Detection. - Giacomo De Bernardi; Sara Narteni; Enrico Cambiaso; Marco Muselli; Maurizio Mongelli (xAI (3), 2023)

CONFIDERAI: a novel CONFormal Interpretable-by-Design score function for Explainable and Reliable Artificial Intelligence. - Alberto Carlevaro; Sara Narteni; Fabrizio Dabbene; Marco Muselli; Maurizio Mongelli (CoRR, 2023)

Dual-View Single-Shot Multibox Detector at Urban Intersections: Settings and Performance Evaluation. - Marta Lenatti; Sara Narteni; Alessia Paglialonga; Vittorio Rampa; Maurizio Mongelli (Sensors, 2023)

Trustworthy artificial intelligence classification-based equivalent bandwidth control. - Sara Narteni; Marco Muselli; Fabrizio Dabbene; Maurizio Mongelli (Comput. Commun., 2023)

A probabilistic scaling approach to conformal predictions in binary image classification. - Alberto Carlevaro; Sara Narteni; Fabrizio Dabbene; Teodoro Alamo; Maurizio Mongelli (COPA, 2024)

Ensuring Safe Social Navigation via Explainable Probabilistic and Conformal Safety Regions. - Sara Narteni; Alberto Carlevaro; Jérôme Guzzi; Maurizio Mongelli (xAI (4), 2024)

Application of the Representative Measure Approach to Assess the Reliability of Decision Trees in Dealing with Unseen Vehicle Collision Data. - Javier Perera-Lago; Víctor Toscano-Durán; Eduardo Paluzo-Hidalgo; Sara Narteni; Matteo Rucco (xAI (4), 2024)

Advancements on IoT and AI applied to Pneumology. - Enrico Cambiaso; Sara Narteni; Ilaria Baiardini; Fulvio Braido; Alessia Paglialonga; Maurizio Mongelli (Microprocess. Microsystems, 2024)

Rule-Based Out-of-Distribution Detection. - Giacomo De Bernardi; Sara Narteni; Enrico Cambiaso; Maurizio Mongelli (IEEE Trans. Artif. Intell., 2024)

Physics-Aware Conformal Prediction for Deep Learning-based Wheelchair Local Navigation. - Sara Narteni; Alberto Carlevaro; Zeming Duan; Serge Autexier; Maurizio Mongelli (COPA, 2025)

Explainable evaluation of generative adversarial networks for wearables data augmentation. - Sara Narteni; Vanessa Orani; Enrico Ferrari; Damiano Verda; Enrico Cambiaso; Maurizio Mongelli (Eng. Appl. Artif. Intell., 2025)

Safe and Efficient Social Navigation through Explainable Safety Regions Based on Topological Features. - Víctor Toscano-Durán; Sara Narteni; Alberto Carlevaro; Rocío González-Díaz; Maurizio Mongelli; Jerome Guzzi (CoRR, 2025)

A novel score function for conformal prediction in rule-based binary classification. - Sara Narteni; Alberto Carlevaro; Fabrizio Dabbene; Marco Muselli; Maurizio Mongelli (Pattern Recognit., 2026)