About Me

Federica Granese

Hello! I'm Federica Granese, PhD student in Computer Science at École Polytechnique (Paris) and Sapienza University (Rome).

I'm supervised by Catuscia Palamidessi & Pablo Piantanida, COMETE Team, Inria-Saclay and Daniele Gorla, Sapienza.

My research is mainly focused on Safety and Security in Machine Learning.

You can find here my CV.

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News

Talks, events and more

When What
2021 Our paper DOCTOR: A Simple Method for Detecting Misclassification Errors, has been accepted at Neurips2021 as Spotlight! Special thanks to Pablo and Marco for their work!

Publications

See here for a complete list of my publications

Papers

DOCTOR: A Simple Method for Detecting Misclassification Errors,
Granese, F., Romanelli, M., Gorla, D., Palamidessi, C., Piantanida, P.
NeurIPS 2021 (to appear).

Text available here. Code available here.

Enhanced models for privacy and utility in continuous-time diffusion networks,
Granese, F., Gorla, D. & Palamidessi, C. Int. J. Inf. Secur. (2021).

Text available here.

Enhanced models for privacy and utility in continuous-time diffusion networks,
Gorla, D., Granese, F., Palamidessi, C. Theoretical Aspects of Computing – ICTAC 2019 pp 313-331.

Bachelor thesis

Polynomially Recognising Graphs Where Saturating Flows Are Always Maximum, supervised by Daniele Gorla.

Text available here. Code available here.


Where I am

You can find me here:

Bâtiment Alan Turing, Inria Saclay - Campus de l'École Polytechnique

1 Rue Honoré d'Estienne d'Orves, 91120 Palaiseau, France

Office, 2068

Contact

GET IN TOUCH

federica.granese@inria.fr

granese@di.uniroma1.it