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)

Explainable for Trustworthy AI. - Fosca Giannotti; Francesca Naretto; Francesco Bodria (ACAI, 2021)

Privacy Risk Assessment of Individual Psychometric Profiles. - Giacomo Mariani; Anna Monreale; Francesca Naretto (DS, 2021)

A new approach for cross-silo federated learning and its privacy risks. - Michele Fontana; Francesca Naretto; Anna Monreale (PST, 2021)

Benchmark Analysis of Black Box Local Explanation Methods. - Francesca Naretto; Francesco Bodria; Fosca Giannotti; Dino Pedreschi (XAI.it@AI*IA, 2022)

Evaluating the Privacy Exposure of Interpretable Global Explainers. - Francesca Naretto; Anna Monreale; Fosca Giannotti (CogMI, 2022)

Monitoring Fairness in HOLDA. - Michele Fontana; Francesca Naretto; Anna Monreale; Fosca Giannotti (HHAI, 2022)

Privacy Risk of Global Explainers. - Francesca Naretto; Anna Monreale; Fosca Giannotti (HHAI, 2022)

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

Imagining the AI Landscape after the AI Act (Preface). - Desara Dushi; Francesca Naretto; Francesca Pratesi (HHAI Workshops, 2023)

Agnostic Label-Only Membership Inference Attack. - Anna Monreale; Francesca Naretto; Simone Rizzo (NSS, 2023)

Benchmarking and survey of explanation methods for black box models. - Francesco Bodria; Fosca Giannotti; Riccardo Guidotti; Francesca Naretto; Dino Pedreschi; Salvatore Rinzivillo (Data Min. Knowl. Discov., 2023)

GLOR-FLEX: Local to Global Rule-Based EXplanations for Federated Learning. - Rami Haffar; Francesca Naretto; David Sánchez 001; Anna Monreale; Josep Domingo-Ferrer (FUZZ, 2024)

Balancing Act: Navigating the Privacy-Utility Spectrum in Principal Component Analysis. - Saloni Kwatra; Anna Monreale; Francesca Naretto (SECRYPT, 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)

Stable and actionable explanations of black-box models through factual and counterfactual rules. - Riccardo Guidotti; Anna Monreale; Salvatore Ruggieri; Francesca Naretto; Franco Turini; Dino Pedreschi; Fosca Giannotti (Data Min. Knowl. Discov., 2024)

Evaluating the Privacy Exposure of Interpretable Global and Local Explainers. - Francesca Naretto; Anna Monreale; Fosca Giannotti (Trans. Data Priv., 2025)