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Federica Granese
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2020 – today
- 2024
- [c5]Federica Granese, Marco Romanelli, Pablo Piantanida:
Optimal Zero-Shot Detector for Multi-Armed Attacks. AISTATS 2024: 2467-2475 - [i6]Federica Granese, Marco Romanelli, Pablo Piantanida:
Optimal Zero-Shot Detector for Multi-Armed Attacks. CoRR abs/2402.15808 (2024) - [i5]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 abs/2406.16901 (2024) - 2023
- [b1]Federica Granese:
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). École Polytechnique, Palaiseau, France, 2023 - [j2]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) - [c4]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: 219-224 - [i4]Federica Granese, Marco Romanelli, Siddharth Garg, Pablo Piantanida:
A Minimax Approach Against Multi-Armed Adversarial Attacks Detection. CoRR abs/2302.02216 (2023) - 2022
- [c3]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: 286-303 - [i3]Federica Granese, Marine Picot, Marco Romanelli, Francisco Messina, Pablo Piantanida:
MEAD: A Multi-Armed Approach for Evaluation of Adversarial Examples Detectors. CoRR abs/2206.15415 (2022) - [i2]Daniele Gorla, Louis Jalouzot, Federica Granese, Catuscia Palamidessi, Pablo Piantanida:
On the (Im)Possibility of Estimating Various Notions of Differential Privacy. CoRR abs/2208.14414 (2022) - 2021
- [j1]Federica Granese, Daniele Gorla, Catuscia Palamidessi:
Enhanced models for privacy and utility in continuous-time diffusion networks. Int. J. Inf. Sec. 20(5): 763-782 (2021) - [c2]Federica Granese, Marco Romanelli, Daniele Gorla, Catuscia Palamidessi, Pablo Piantanida:
DOCTOR: A Simple Method for Detecting Misclassification Errors. NeurIPS 2021: 5669-5681 - [i1]Federica Granese, Marco Romanelli, Daniele Gorla, Catuscia Palamidessi, Pablo Piantanida:
DOCTOR: A Simple Method for Detecting Misclassification Errors. CoRR abs/2106.02395 (2021)
2010 – 2019
- 2019
- [c1]Daniele Gorla, Federica Granese, Catuscia Palamidessi:
Enhanced Models for Privacy and Utility in Continuous-Time Diffusion Networks. ICTAC 2019: 313-331
Coauthor Index
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