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Francesca Naretto
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2020 – today
- 2024
- [j3]Riccardo Guidotti
, Anna Monreale, Salvatore Ruggieri, Francesca Naretto, Franco Turini, Dino Pedreschi, Fosca Giannotti:
Stable and actionable explanations of black-box models through factual and counterfactual rules. Data Min. Knowl. Discov. 38(5): 2825-2862 (2024) - [j2]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): 49-58 (2024) - [c14]Rami Haffar, Francesca Naretto, David Sánchez, Anna Monreale, Josep Domingo-Ferrer:
GLOR-FLEX: Local to Global Rule-Based EXplanations for Federated Learning. FUZZ 2024: 1-9 - [c13]Saloni Kwatra, Anna Monreale, Francesca Naretto:
Balancing Act: Navigating the Privacy-Utility Spectrum in Principal Component Analysis. SECRYPT 2024: 850-857 - 2023
- [j1]Francesco Bodria
Benchmarking and survey of explanation methods for black box models. Data Min. Knowl. Discov. 37(5): 1719-1778 (2023) - [c12]Francesca Naretto
EXPHLOT: EXplainable Privacy Assessment for Human LOcation Trajectories. DS 2023: 325-340 - [c11]Desara Dushi, Francesca Naretto, Francesca Pratesi:
Imagining the AI Landscape after the AI Act (Preface). HHAI Workshops 2023: 1-6 - [c10]Anna Monreale
Agnostic Label-Only Membership Inference Attack. NSS 2023: 249-264 - [e3]Irena Koprinska
Machine Learning and Principles and Practice of Knowledge Discovery in Databases - International Workshops of ECML PKDD 2022, Grenoble, France, September 19-23, 2022, Proceedings, Part I. Communications in Computer and Information Science 1752, Springer 2023, ISBN 978-3-031-23617-4 [contents] - [e2]Irena Koprinska
Machine Learning and Principles and Practice of Knowledge Discovery in Databases - International Workshops of ECML PKDD 2022, Grenoble, France, September 19-23, 2022, Proceedings, Part II. Communications in Computer and Information Science 1753, Springer 2023, ISBN 978-3-031-23632-7 [contents] - 2022
- [c9]Francesca Naretto, Francesco Bodria, Fosca Giannotti, Dino Pedreschi:
Benchmark Analysis of Black Box Local Explanation Methods. XAI.it@AI*IA 2022: 73-87 - [c8]Francesca Naretto, Anna Monreale, Fosca Giannotti:
Evaluating the Privacy Exposure of Interpretable Global Explainers. CogMI 2022: 13-19 - [c7]Michele Fontana, Francesca Naretto, Anna Monreale, Fosca Giannotti:
Monitoring Fairness in HOLDA. HHAI 2022: 246-248 - [c6]Francesca Naretto, Anna Monreale, Fosca Giannotti:
Privacy Risk of Global Explainers. HHAI 2022: 249-251 - [e1]Desara Dushi, Francesca Naretto, Cecilia Panigutti, Francesca Pratesi:
Proceedings of the Workshop on Imagining the AI Landscape after the AI Act (IAIL 2022) co-located with 1st International Conference on Hybrid Human-Artificial Intelligence (HHAI 2022), Amsterdam, Netherlands, June 13, 2022. CEUR Workshop Proceedings 3221, CEUR-WS.org 2022 [contents] - 2021
- [c5]Fosca Giannotti
Explainable for Trustworthy AI. ACAI 2021: 175-195 - [c4]Giacomo Mariani, Anna Monreale, Francesca Naretto:
Privacy Risk Assessment of Individual Psychometric Profiles. DS 2021: 411-421 - [c3]Michele Fontana, Francesca Naretto, Anna Monreale:
A new approach for cross-silo federated learning and its privacy risks. PST 2021: 1-10 - [i1]Francesco Bodria, Fosca Giannotti, Riccardo Guidotti, Francesca Naretto, Dino Pedreschi, Salvatore Rinzivillo:
Benchmarking and Survey of Explanation Methods for Black Box Models. CoRR abs/2102.13076 (2021) - 2020
- [c2]Francesca Naretto
Predicting and Explaining Privacy Risk Exposure in Mobility Data. DS 2020: 403-418 - [c1]Francesca Naretto, Roberto Pellungrini, Franco Maria Nardini
Prediction and Explanation of Privacy Risk on Mobility Data with Neural Networks. PKDD/ECML Workshops 2020: 501-516
Coauthor Index
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