Francesca Naretto

Orcid: 0000-0003-1301-7787

According to our database1, Francesca Naretto authored at least 13 papers between 2020 and 2023.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

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PhD thesis 
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Links

On csauthors.net:

Bibliography

2023
Benchmarking and survey of explanation methods for black box models.
Data Min. Knowl. Discov., September, 2023

Agnostic Label-Only Membership Inference Attack.
Proceedings of the Network and System Security - 17th International Conference, 2023

Imagining the AI Landscape after the AI Act (Preface).
Proceedings of the Workshops at the Second International Conference on Hybrid Human-Artificial Intelligence co-located with (HHAI 2023), 2023

EXPHLOT: EXplainable Privacy Assessment for Human LOcation Trajectories.
Proceedings of the Discovery Science - 26th International Conference, 2023

2022
Privacy Risk of Global Explainers.
Proceedings of the HHAI 2022: Augmenting Human Intellect, 2022

Monitoring Fairness in HOLDA.
Proceedings of the HHAI 2022: Augmenting Human Intellect, 2022

Evaluating the Privacy Exposure of Interpretable Global Explainers.
Proceedings of the 4th IEEE International Conference on Cognitive Machine Intelligence, 2022

Benchmark Analysis of Black Box Local Explanation Methods.
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.
Proceedings of the 18th International Conference on Privacy, Security and Trust, 2021

Privacy Risk Assessment of Individual Psychometric Profiles.
Proceedings of the Discovery Science - 24th International Conference, 2021

Explainable for Trustworthy AI.
Proceedings of the Human-Centered Artificial Intelligence, 2021

2020
Prediction and Explanation of Privacy Risk on Mobility Data with Neural Networks.
Proceedings of the ECML PKDD 2020 Workshops, 2020

Predicting and Explaining Privacy Risk Exposure in Mobility Data.
Proceedings of the Discovery Science - 23rd International Conference, 2020


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