Federica Granese

Publication Activity (10 Years)

Years Active: 2019-2024
Publications (10 Years): 13

Top Topics

Attack Detection

Differential Privacy

Privacy Preserving Data Mining Algorithms

Misclassification Rate

Top Venues

Publications

Federica Granese, Marco Romanelli, Pablo Piantanida
Optimal Zero-Shot Detector for Multi-Armed Attacks. AISTATS (2024)
Federica Granese, Marco Romanelli, Pablo Piantanida
Optimal Zero-Shot Detector for Multi-Armed Attacks. CoRR (2024)
Alex Lence, Ahmad Fall, Federica Granese, Blaise Hanczar, Joe-Elie Salem, Jean-Daniel Zucker, Edi Prifti
ECGrecover: a Deep Learning Approach for Electrocardiogram Signal Completion. CoRR (2024)
Federica Granese, Marco Romanelli, Siddharth Garg, Pablo Piantanida
A Minimax Approach Against Multi-Armed Adversarial Attacks Detection. CoRR (2023)
Marine Picot, Federica Granese, Guillaume Staerman, Marco Romanelli, Francisco Messina, Pablo Piantanida, Pierre Colombo
A Halfspace-Mass Depth-Based Method for Adversarial Attack Detection. Trans. Mach. Learn. Res. 2023 (2023)
Daniele Gorla, Louis Jalouzot, Federica Granese, Catuscia Palamidessi, Pablo Piantanida
On the (Im)Possibility of Estimating Various Notions of Differential Privacy (short paper). ICTCS (2023)
Daniele Gorla, Louis Jalouzot, Federica Granese, Catuscia Palamidessi, Pablo Piantanida
On the (Im)Possibility of Estimating Various Notions of Differential Privacy. CoRR (2022)
Federica Granese, Marine Picot, Marco Romanelli, Francisco Messina, Pablo Piantanida
MEAD: A Multi-Armed Approach for Evaluation of Adversarial Examples Detectors. CoRR (2022)
Federica Granese, Marine Picot, Marco Romanelli, Francesco Messina, Pablo Piantanida
MEAD: A Multi-Armed Approach for Evaluation of Adversarial Examples Detectors. ECML/PKDD (3) (2022)
Federica Granese, Daniele Gorla, Catuscia Palamidessi
Enhanced models for privacy and utility in continuous-time diffusion networks. Int. J. Inf. Sec. 20 (5) (2021)
Federica Granese, Marco Romanelli, Daniele Gorla, Catuscia Palamidessi, Pablo Piantanida
DOCTOR: A Simple Method for Detecting Misclassification Errors. NeurIPS (2021)
Federica Granese, Marco Romanelli, Daniele Gorla, Catuscia Palamidessi, Pablo Piantanida
DOCTOR: A Simple Method for Detecting Misclassification Errors. CoRR (2021)
Daniele Gorla, Federica Granese, Catuscia Palamidessi
Enhanced Models for Privacy and Utility in Continuous-Time Diffusion Networks. ICTAC (2019)