( en | de | ru )

 

Disambiguation of "Naretto, Francesca"

Author of the publication

copydeleteadd this publication to your clipboard
Predicting and Explaining Privacy Risk Exposure in Mobility Data.

, , , , and . DS, volume 12323 of Lecture Notes in Computer Science, page 403-418. Springer, (2020)

Please choose a person to relate this publication to

To differ between persons with the same name, the academic degree and the title of an important publication will be displayed. You can also use the button next to the name to display some publications already assigned to the person.

Francesca Vidal

Francesca Venturini

Francesca Albertini

Francesca Ros

Francesca Diana

 

Other publications of authors with the same name

Prediction and Explanation of Privacy Risk on Mobility Data with Neural Networks., , , and . PKDD/ECML Workshops, volume 1323 of Communications in Computer and Information Science, page 501-516. Springer, (2020)A new approach for cross-silo federated learning and its privacy risks., , and . PST, page 1-10. IEEE, (2021)Privacy Risk of Global Explainers., , and . HHAI, volume 354 of Frontiers in Artificial Intelligence and Applications, page 249-251. IOS Press, (2022)Agnostic Label-Only Membership Inference Attack., , and . NSS, volume 13983 of Lecture Notes in Computer Science, page 249-264. Springer, (2023)Benchmarking and Survey of Explanation Methods for Black Box Models., , , , , and . CoRR, (2021)Imagining the AI Landscape after the AI Act (Preface)., , and . HHAI Workshops, volume 3456 of CEUR Workshop Proceedings, page 1-6. CEUR-WS.org, (2023)Evaluating the Privacy Exposure of Interpretable Global Explainers., , and . CogMI, page 13-19. IEEE, (2022)Explainable for Trustworthy AI., , and . ACAI, volume 13500 of Lecture Notes in Computer Science, page 175-195. Springer, (2021)EXPHLOT: EXplainable Privacy Assessment for Human LOcation Trajectories., , , and . DS, volume 14276 of Lecture Notes in Computer Science, page 325-340. Springer, (2023)Benchmarking and survey of explanation methods for black box models., , , , , and . Data Min. Knowl. Discov., 37 (5): 1719-1778 (September 2023)