DOCTOR: A Simple Method for Detecting Misclassification Errors. - Federica Granese; Marco Romanelli 002; Daniele Gorla; Catuscia Palamidessi; Pablo Piantanida (NeurIPS, 2021)

Enhanced models for privacy and utility in continuous-time diffusion networks. - Federica Granese; Daniele Gorla; Catuscia Palamidessi (Int. J. Inf. Sec., 2021)

MEAD: A Multi-Armed Approach for Evaluation of Adversarial Examples Detectors. - Federica Granese; Marine Picot; Marco Romanelli 002; Francesco Messina; Pablo Piantanida (ECML/PKDD (3), 2022)

MEAD: A Multi-Armed Approach for Evaluation of Adversarial Examples Detectors. - Federica Granese; Marine Picot; Marco Romanelli 002; Francisco Messina; Pablo Piantanida (CoRR, 2022)

On the (Im)Possibility of Estimating Various Notions of Differential Privacy. - Daniele Gorla; Louis Jalouzot; Federica Granese; Catuscia Palamidessi; Pablo Piantanida (CoRR, 2022)

On the (Im)Possibility of Estimating Various Notions of Differential Privacy (short paper). - Daniele Gorla; Louis Jalouzot; Federica Granese; Catuscia Palamidessi; Pablo Piantanida (ICTCS, 2023)

A Minimax Approach Against Multi-Armed Adversarial Attacks Detection. - Federica Granese; Marco Romanelli 002; Siddharth Garg; Pablo Piantanida (CoRR, 2023)

A Halfspace-Mass Depth-Based Method for Adversarial Attack Detection. - Marine Picot; Federica Granese; Guillaume Staerman; Marco Romanelli 002; Francisco Messina; Pablo Piantanida; Pierre Colombo (Trans. Mach. Learn. Res., 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 (2023)

Optimal Zero-Shot Detector for Multi-Armed Attacks. - Federica Granese; Marco Romanelli 002; Pablo Piantanida (AISTATS, 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)

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 (KDD (1), 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 (CoRR, 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, 2025)