Assessing Privacy Risk in Retail Data. - Roberto Pellungrini; Francesca Pratesi; Luca Pappalardo (PAP@PKDD/ECML, 2017)

Fast Estimation of Privacy Risk in Human Mobility Data. - Roberto Pellungrini; Luca Pappalardo; Francesca Pratesi; Anna Monreale (SAFECOMP Workshops, 2017)

Privacy Risk for Individual Basket Patterns. - Roberto Pellungrini; Anna Monreale; Riccardo Guidotti (MIDAS/PAP@PKDD/ECML, 2018)

Analyzing Privacy Risk in Human Mobility Data. - Roberto Pellungrini; Luca Pappalardo; Francesca Pratesi; Anna Monreale (STAF Workshops, 2018)

A Data Mining Approach to Assess Privacy Risk in Human Mobility Data. - Roberto Pellungrini; Luca Pappalardo; Francesca Pratesi; Anna Monreale (ACM Trans. Intell. Syst. Technol., 2018)

Human Mobility from theory to practice: Data, Models and Applications. - Luca Pappalardo; Gianni Barlacchi; Roberto Pellungrini; Filippo Simini (WWW (Companion Volume), 2019)

Predicting and Explaining Privacy Risk Exposure in Mobility Data. - Francesca Naretto; Roberto Pellungrini; Anna Monreale; Franco Maria Nardini; Mirco Musolesi (DS, 2020)

Prediction and Explanation of Privacy Risk on Mobility Data with Neural Networks. - Francesca Naretto; Roberto Pellungrini; Franco Maria Nardini; Fosca Giannotti (PKDD/ECML Workshops, 2020)

Modeling & Predicting Privacy Risk in Personal Data. - Roberto Pellungrini (2020)

Privacy Risk and Data Utility Assessment on Network Data. - Roberto Pellungrini (DataMod, 2021)

scikit-mobility: A Python Library for the Analysis, Generation, and Risk Assessment of Mobility Data. - Luca Pappalardo; Filippo Simini; Gianni Barlacchi; Roberto Pellungrini (J. Stat. Softw., 2022)

Modeling Adversarial Behavior Against Mobility Data Privacy. - Roberto Pellungrini; Luca Pappalardo; Filippo Simini; Anna Monreale (IEEE Trans. Intell. Transp. Syst., 2022)

EXPHLOT: EXplainable Privacy Assessment for Human LOcation Trajectories. - Francesca Naretto; Roberto Pellungrini; Salvatore Rinzivillo; Daniele Fadda (DS, 2023)

Trustworthy AI at KDD Lab. - Fosca Giannotti; Riccardo Guidotti; Anna Monreale; Luca Pappalardo; Dino Pedreschi; Roberto Pellungrini; Francesca Pratesi; Salvatore Rinzivillo; Salvatore Ruggieri; Mattia Setzu; Rosaria Deluca (Ital-IA, 2023)

Conversational XAI: Formalizing Its Basic Design Principles. - Marco Garofalo; Alessia Fantini; Roberto Pellungrini; Giovanni Pilato; Massimo Villari; Fosca Giannotti (PKDD/ECML Workshops (2), 2023)

Towards Synergistic Human-AI Collaboration in Hybrid Decision-Making Systems. - Clara Punzi; Mattia Setzu; Roberto Pellungrini; Fosca Giannotti; Dino Pedreschi (PKDD/ECML Workshops (2), 2023)

Explaining Socio-Demographic and Behavioral Patterns of Vaccination Against the Swine Flu (H1N1) Pandemic. - Clara Punzi; Aleksandra Maslennikova; Gizem Gezici; Roberto Pellungrini; Fosca Giannotti (xAI (2), 2023)

A Survey on Privacy in Human Mobility. - Anna Monreale; Roberto Pellungrini (Trans. Data Priv., 2023)

One-Shot Clustering for Federated Learning. - Maciej Krzysztof Zuziak; Roberto Pellungrini; Salvatore Rinzivillo (IEEE Big Data, 2024)

L2loRe: a method for explaining the reject option. - Clara Punzi; Roberto Pellungrini; Fosca Giannotti (DS (LB), 2024)

Ensemble Counterfactual Explanations for Churn Analysis. - Samuele Tonati; Marzio Di Vece; Roberto Pellungrini; Fosca Giannotti (DS (2), 2024)

A Fair Selective Classifier to Put Humans in the Loop. - Daphne Lenders; Andrea Pugnana; Roberto Pellungrini; Toon Calders; Fosca Giannotti; Dino Pedreschi (EWAF, 2024)

XAI in Healthcare. - Gizem Gezici; Carlo Metta; Andrea Beretta; Roberto Pellungrini; Salvatore Rinzivillo; Dino Pedreschi; Fosca Giannotti (HHAI Workshops, 2024)

Interpretable and Fair Mechanisms for Abstaining Classifiers. - Daphne Lenders; Andrea Pugnana; Roberto Pellungrini; Toon Calders; Dino Pedreschi; Fosca Giannotti (ECML/PKDD (7), 2024)

Enhancing Privacy and Utility in Federated Learning: A Hybrid P2P and Server-Based Approach with Differential Privacy Protection. - Luca Corbucci; Anna Monreale; Roberto Pellungrini (SECRYPT, 2024)

XAI.it 2024: An Overview on the Future of AI in the Era of Large Language Models. - Marco Polignano; Cataldo Musto; Roberto Pellungrini; Erasmo Purificato; Giovanni Semeraro; Mattia Setzu (XAI.it@AI*IA, 2024)

TrajectGuard: A Comprehensive Privacy-Risk Framework for Multiple-Aspects Trajectories. - Fernanda Oliveira Gomes; Roberto Pellungrini; Anna Monreale; Chiara Renso; Jean Everson Martina (IEEE Access, 2024)

AI, Meet Human: Learning Paradigms for Hybrid Decision Making Systems. - Clara Punzi; Roberto Pellungrini; Mattia Setzu; Fosca Giannotti; Dino Pedreschi (CoRR, 2024)

Bridging the Gap in Hybrid Decision-Making Systems. - Federico Mazzoni; Roberto Pellungrini; Riccardo Guidotti (CoRR, 2024)

Analyzing and explaining privacy risks on time series data: ongoing work and challenges. - Tristan Allard; Hira Asghar; Gildas Avoine; Christophe Bobineau; Pierre Cauchois; Elisa Fromont; Anna Monreale; Francesca Naretto; Roberto Pellungrini; Francesca Pratesi; Marie-Christine Rousset; Antonin Voyez (SIGKDD Explor., 2024)

Mathematical Foundation of Interpretable Equivariant Surrogate Models. - Jacopo Joy Colombini; Filippo Bonchi; Francesco Giannini; Fosca Giannotti; Roberto Pellungrini; Patrizio Frosini (CoRR, 2025)

Deferring Concept Bottleneck Models: Learning to Defer Interventions to Inaccurate Experts. - Andrea Pugnana; Riccardo Massidda; Francesco Giannini; Pietro Barbiero; Mateo Espinosa Zarlenga; Roberto Pellungrini; Gabriele Dominici; Fosca Giannotti; Davide Bacciu (CoRR, 2025)