Francesca Naretto

According to our database, Francesca Naretto authored at least 21 papers between 2020 and 2025.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2025

Evaluating the Privacy Exposure of Interpretable Global and Local Explainers.

Francesca Naretto, Anna Monreale, Fosca Giannotti

Trans. Data Priv., May, 2025

Optimizing and Tuning Fairness in Machine Learning: An Augmented Lagrangian Method with a Performance Budget.

Michele Fontana, Francesca Naretto, Anna Monreale

Proceedings of the Machine Learning and Knowledge Discovery in Databases. Research Track, 2025

Differentially Private FastSHAP for Federated Learning Model Explainability.

Valerio Bonsignori, Luca Corbucci, Francesca Naretto, Anna Monreale

Proceedings of the International Joint Conference on Neural Networks, 2025

Enhancing Local Explanations with GAN-Based Neighborhood Generation.

Luca Corbucci, Francesca Naretto, Anna Monreale

Proceedings of the Discovery Science - 28th International Conference, 2025

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., September, 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., June, 2024

Balancing Act: Navigating the Privacy-Utility Spectrum in Principal Component Analysis.

Saloni Kwatra, Anna Monreale, Francesca Naretto

Proceedings of the 21st International Conference on Security and Cryptography, 2024

Imagining the AI Landscape after the AI Act (Preface).

Desara Dushi, Francesca Naretto, Francesca Pratesi

Proceedings of the Workshops at the Third International Conference on Hybrid Human-Artificial Intelligence co-located with (HHAI 2024), 2024

GLOR-FLEX: Local to Global Rule-Based EXplanations for Federated Learning.

Rami Haffar, Francesca Naretto, David Sánchez, Anna Monreale, Josep Domingo-Ferrer

Proceedings of the IEEE International Conference on Fuzzy Systems, 2024

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., September, 2023

Agnostic Label-Only Membership Inference Attack.

Anna Monreale, Francesca Naretto, Simone Rizzo

Proceedings of the Network and System Security - 17th International Conference, 2023

EXPHLOT: EXplainable Privacy Assessment for Human LOcation Trajectories.

Francesca Naretto, Roberto Pellungrini, Salvatore Rinzivillo, Daniele Fadda

Proceedings of the Discovery Science - 26th International Conference, 2023

2022

Privacy Risk of Global Explainers.

Francesca Naretto, Anna Monreale, Fosca Giannotti

Proceedings of the HHAI 2022: Augmenting Human Intellect, 2022

Monitoring Fairness in HOLDA.

Michele Fontana, Francesca Naretto, Anna Monreale, Fosca Giannotti

Proceedings of the HHAI 2022: Augmenting Human Intellect, 2022

Evaluating the Privacy Exposure of Interpretable Global Explainers.

Francesca Naretto, Anna Monreale, Fosca Giannotti

Proceedings of the 4th IEEE International Conference on Cognitive Machine Intelligence, 2022

Benchmark Analysis of Black Box Local Explanation Methods.

Francesca Naretto, Francesco Bodria, Fosca Giannotti, Dino Pedreschi

Proceedings of the 3rd Italian Workshop on Explainable Artificial Intelligence co-located with 21th International Conference of the Italian Association for Artificial Intelligence(AIxIA 2022), Udine, Italy, November 28, 2022

2021

A new approach for cross-silo federated learning and its privacy risks.

Michele Fontana, Francesca Naretto, Anna Monreale

Proceedings of the 18th International Conference on Privacy, Security and Trust, 2021

Privacy Risk Assessment of Individual Psychometric Profiles.

Giacomo Mariani, Anna Monreale, Francesca Naretto

Proceedings of the Discovery Science - 24th International Conference, 2021

Explainable for Trustworthy AI.

Fosca Giannotti, Francesca Naretto, Francesco Bodria

Proceedings of the Human-Centered Artificial Intelligence, 2021

2020

Prediction and Explanation of Privacy Risk on Mobility Data with Neural Networks.

Francesca Naretto, Roberto Pellungrini, Franco Maria Nardini, Fosca Giannotti

Proceedings of the ECML PKDD 2020 Workshops, 2020

Predicting and Explaining Privacy Risk Exposure in Mobility Data.

Francesca Naretto, Roberto Pellungrini, Anna Monreale, Franco Maria Nardini, Mirco Musolesi

Proceedings of the Discovery Science - 23rd International Conference, 2020