Federica Granese

According to our database, Federica Granese authored at least 17 papers between 2019 and 2026.

Collaborative distances:

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

2026

ECGtizer: An open-source, fully automated pipeline for digitization and signal recovery from paper electrocardiograms.

Alex Lence, Ahmad Fall, Samuel David Cohen, Federica Granese, Jean-Daniel Zucker, Joe-Elie Salem, Edi Prifti

Biomed. Signal Process. Control., 2026

2025

Stick-Breaking Embedded Topic Model with Continuous Optimal Transport for Online Analysis of Document Streams.

Federica Granese, Serena Villata, Charles Bouveyron

CoRR, October, 2025

IKrNet: A Neural Network for Detecting Specific Drug-Induced Patterns in Electrocardiograms Amidst Physiological Variability.

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

CoRR, May, 2025

On Estimating the Strength of Differentially Private Mechanisms in a Black-Box Setting.

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

IEEE Trans. Dependable Secur. Comput., 2025

Merging Embedded Topics with Optimal Transport for Online Topic Modeling on Data Streams.

Federica Granese, Benjamin Navet, Serena Villata, Charles Bouveyron

Proceedings of the Machine Learning and Knowledge Discovery in Databases. Research Track, 2025

ECGrecover: A Deep Learning Approach for Electrocardiogram Signal Completion.

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

Proceedings of the 31st ACM SIGKDD Conference on Knowledge Discovery and Data Mining, V.1, 2025

2024

ECGtizer: a fully automated digitizing and signal recovery pipeline for electrocardiograms.

Alex Lence, Ahmad Fall, Samuel David Cohen, Federica Granese, Jean-Daniel Zucker, Joe-Elie Salem, 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

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

2019

Enhanced Models for Privacy and Utility in Continuous-Time Diffusion Networks.

Daniele Gorla, Federica Granese, Catuscia Palamidessi

Proceedings of the Theoretical Aspects of Computing - ICTAC 2019 - 16th International Colloquium, Hammamet, Tunisia, October 31, 2019