Federica Granese

According to our database, Federica Granese authored at least 11 papers between 2021 and 2024.

Collaborative distances:

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

2024

ECGrecover: a Deep Learning Approach for Electrocardiogram Signal Completion.

Alex Lence, Ahmad Fall, Federica Granese, Blaise Hanczar, Joe-Elie Salem, Jean-Daniel Zucker, Edi Prifti

CoRR, 2024

Optimal Zero-Shot Detector for Multi-Armed Attacks.

Federica Granese, Marco Romanelli, Pablo Piantanida

Proceedings of the International Conference on Artificial Intelligence and Statistics, 2024

2023

Towards Securing Machine Learning Algorithms through Misclassification Detection and Adversarial Attack Detection. (Vers la Sécurisation des Algorithmes d'Apprentissage Automatique par Misclassification Detection et Adversarial Attack Detection).

Federica Granese

PhD thesis, 2023

A Halfspace-Mass Depth-Based Method for Adversarial Attack Detection.

Marine Picot, Federica Granese, Guillaume Staerman, Marco Romanelli, Francisco Messina, Pablo Piantanida, Pierre Colombo

Trans. Mach. Learn. Res., 2023

A Minimax Approach Against Multi-Armed Adversarial Attacks Detection.

Federica Granese, Marco Romanelli, Siddharth Garg, Pablo Piantanida

CoRR, 2023

On the (Im)Possibility of Estimating Various Notions of Differential Privacy (short paper).

Daniele Gorla, Louis Jalouzot, Federica Granese, Catuscia Palamidessi, Pablo Piantanida

Proceedings of the 24th Italian Conference on Theoretical Computer Science, 2023

2022

On the (Im)Possibility of Estimating Various Notions of Differential Privacy.

Daniele Gorla, Louis Jalouzot, Federica Granese, Catuscia Palamidessi, Pablo Piantanida

CoRR, 2022

MEAD: A Multi-Armed Approach for Evaluation of Adversarial Examples Detectors.

Federica Granese, Marine Picot, Marco Romanelli, Francisco Messina, Pablo Piantanida

CoRR, 2022

MEAD: A Multi-Armed Approach for Evaluation of Adversarial Examples Detectors.

Federica Granese, Marine Picot, Marco Romanelli, Francesco Messina, Pablo Piantanida

Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2022

2021

Enhanced models for privacy and utility in continuous-time diffusion networks.

Federica Granese, Daniele Gorla, Catuscia Palamidessi

Int. J. Inf. Sec., 2021

DOCTOR: A Simple Method for Detecting Misclassification Errors.

Federica Granese, Marco Romanelli, Daniele Gorla, Catuscia Palamidessi, Pablo Piantanida

Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021