Francesca Naretto

Publication Activity (10 Years)

Years Active: 2020-2024
Publications (10 Years): 16

Top Topics

Artificial Intelligent

Risk Assessment

Top Venues

Publications

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
Analyzing and explaining privacy risks on time series data: ongoing work and challenges. SIGKDD Explor. 26 (1) (2024)
Rami Haffar, Francesca Naretto, David Sánchez, Anna Monreale, Josep Domingo-Ferrer
GLOR-FLEX: Local to Global Rule-Based EXplanations for Federated Learning. FUZZ (2024)
Francesco Bodria, Fosca Giannotti, Riccardo Guidotti, Francesca Naretto, Dino Pedreschi, Salvatore Rinzivillo
Benchmarking and survey of explanation methods for black box models. Data Min. Knowl. Discov. 37 (5) (2023)
Anna Monreale, Francesca Naretto, Simone Rizzo
Agnostic Label-Only Membership Inference Attack. NSS (2023)
Desara Dushi, Francesca Naretto, Francesca Pratesi
Imagining the AI Landscape after the AI Act (Preface). HHAI Workshops (2023)
Francesca Naretto, Roberto Pellungrini, Salvatore Rinzivillo, Daniele Fadda
EXPHLOT: EXplainable Privacy Assessment for Human LOcation Trajectories. DS (2023)
Michele Fontana, Francesca Naretto, Anna Monreale, Fosca Giannotti
Monitoring Fairness in HOLDA. HHAI (2022)
Francesca Naretto, Anna Monreale, Fosca Giannotti
Privacy Risk of Global Explainers. HHAI (2022)
Francesca Naretto, Anna Monreale, Fosca Giannotti
Evaluating the Privacy Exposure of Interpretable Global Explainers. CogMI (2022)
Francesca Naretto, Francesco Bodria, Fosca Giannotti, Dino Pedreschi
Benchmark Analysis of Black Box Local Explanation Methods. XAI.it@AI*IA (2022)
Francesco Bodria, Fosca Giannotti, Riccardo Guidotti, Francesca Naretto, Dino Pedreschi, Salvatore Rinzivillo
Benchmarking and Survey of Explanation Methods for Black Box Models. CoRR (2021)
Michele Fontana, Francesca Naretto, Anna Monreale
A new approach for cross-silo federated learning and its privacy risks. PST (2021)
Giacomo Mariani, Anna Monreale, Francesca Naretto
Privacy Risk Assessment of Individual Psychometric Profiles. DS (2021)
Fosca Giannotti, Francesca Naretto, Francesco Bodria
Explainable for Trustworthy AI. ACAI (2021)
Francesca Naretto, Roberto Pellungrini, Franco Maria Nardini, Fosca Giannotti
Prediction and Explanation of Privacy Risk on Mobility Data with Neural Networks. PKDD/ECML Workshops (2020)
Francesca Naretto, Roberto Pellungrini, Anna Monreale, Franco Maria Nardini, Mirco Musolesi
Predicting and Explaining Privacy Risk Exposure in Mobility Data. DS (2020)