Federica Granese

22 papers A* 1A 1C 1Journal 14Unranked 4
YearRankTypeTitle / Venue / Authors
2026 J jnl
ECGtizer: An open-source, fully automated pipeline for digitization and signal recovery from paper electrocardiograms.
Biomed. Signal Process. Control.
Alex Lence, Ahmad Fall, Samuel David Cohen, Federica Granese, Jean-Daniel Zucker, Joe-Elie Salem, Edi Prifti
2025 — conf
ECGrecover: A Deep Learning Approach for Electrocardiogram Signal Completion.
KDD (1)
Alex Lence, Federica Granese, Ahmad Fall, Blaise Hanczar, Joe-Elie Salem, Jean-Daniel Zucker, Edi Prifti
2025 J jnl
IKrNet: A Neural Network for Detecting Specific Drug-Induced Patterns in Electrocardiograms Amidst Physiological Variability.
CoRR
Ahmad Fall, Federica Granese, Alex Lence, Dominique Fourer, Blaise Hanczar, Joe-Elie Salem, Jean-Daniel Zucker, Edi Prifti
2025 — conf
Merging Embedded Topics with Optimal Transport for Online Topic Modeling on Data Streams.
ECML/PKDD (7)
Federica Granese, Benjamin Navet, Serena Villata, Charles Bouveyron
2025 J jnl
Merging Embedded Topics with Optimal Transport for Online Topic Modeling on Data Streams.
CoRR
Federica Granese, Benjamin Navet, Serena Villata, Charles Bouveyron
2025 J jnl
On Estimating the Strength of Differentially Private Mechanisms in a Black-Box Setting.
IEEE Trans. Dependable Secur. Comput.
Daniele Gorla, Louis Jalouzot, Federica Granese, Catuscia Palamidessi, Pablo Piantanida
2025 J jnl
Stick-Breaking Embedded Topic Model with Continuous Optimal Transport for Online Analysis of Document Streams.
CoRR
Federica Granese, Serena Villata, Charles Bouveyron
2024 J jnl
ECGrecover: a Deep Learning Approach for Electrocardiogram Signal Completion.
CoRR
Alex Lence, Ahmad Fall, Federica Granese, Blaise Hanczar, Joe-Elie Salem, Jean-Daniel Zucker, Edi Prifti
2024 J jnl
ECGtizer: a fully automated digitizing and signal recovery pipeline for electrocardiograms.
CoRR
Alex Lence, Ahmad Fall, Samuel David Cohen, Federica Granese, Jean-Daniel Zucker, Joe-Elie Salem, Edi Prifti
2024 A conf
Optimal Zero-Shot Detector for Multi-Armed Attacks.
AISTATS
Federica Granese, Marco Romanelli, Pablo Piantanida
2024 J jnl
Optimal Zero-Shot Detector for Multi-Armed Attacks.
CoRR
Federica Granese, Marco Romanelli, Pablo Piantanida
2023 J jnl
A Halfspace-Mass Depth-Based Method for Adversarial Attack Detection.
Trans. Mach. Learn. Res.
Marine Picot, Federica Granese, Guillaume Staerman, Marco Romanelli, Francisco Messina, Pablo Piantanida, Pierre Colombo
2023 J jnl
A Minimax Approach Against Multi-Armed Adversarial Attacks Detection.
CoRR
Federica Granese, Marco Romanelli, Siddharth Garg, Pablo Piantanida
2023 — conf
On the (Im)Possibility of Estimating Various Notions of Differential Privacy (short paper).
ICTCS
Daniele Gorla, Louis Jalouzot, Federica Granese, Catuscia Palamidessi, Pablo Piantanida
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
2022 — conf
MEAD: A Multi-Armed Approach for Evaluation of Adversarial Examples Detectors.
ECML/PKDD (3)
Federica Granese, Marine Picot, Marco Romanelli, Francesco Messina, Pablo Piantanida
2022 J jnl
MEAD: A Multi-Armed Approach for Evaluation of Adversarial Examples Detectors.
CoRR
Federica Granese, Marine Picot, Marco Romanelli, Francisco Messina, Pablo Piantanida
2022 J jnl
On the (Im)Possibility of Estimating Various Notions of Differential Privacy.
CoRR
Daniele Gorla, Louis Jalouzot, Federica Granese, Catuscia Palamidessi, Pablo Piantanida
2021 A* conf
DOCTOR: A Simple Method for Detecting Misclassification Errors.
NeurIPS
Federica Granese, Marco Romanelli, Daniele Gorla, Catuscia Palamidessi, Pablo Piantanida
2021 J jnl
DOCTOR: A Simple Method for Detecting Misclassification Errors.
CoRR
Federica Granese, Marco Romanelli, Daniele Gorla, Catuscia Palamidessi, Pablo Piantanida
2021 J jnl
Enhanced models for privacy and utility in continuous-time diffusion networks.
Int. J. Inf. Sec.
Federica Granese, Daniele Gorla, Catuscia Palamidessi
2019 C conf
Enhanced Models for Privacy and Utility in Continuous-Time Diffusion Networks.
ICTAC
Daniele Gorla, Federica Granese, Catuscia Palamidessi