Federica Granese

Publications

Communication dans un congrès (4)

Stick-Breaking Embedded Topic Model with Continuous Optimal Transport for Online Analysis of Document Streams Federica Granese,Serena Villata,Charles Bouveyron 29th International Conference on Artificial Intelligence and Statistics (AISTATS), May 2026, Tangier,, Morocco Communication dans un congrès hal-05325837v1
Merging Embedded Topics with Optimal Transport for Online Topic Modeling on Data Streams Federica Granese,Benjamin Navet,Serena Villata,Charles Bouveyron ECML PKDD 2025 - Joint European Conference on Machine Learning and Knowledge Discovery in Databases, Sep 2025, Porto, Portugal. pp.290-307, ⟨10.1007/978-3-032-06109-6_17⟩ Communication dans un congrès hal-05468591v1
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 - The 24th Italian Conference on Theoretical Computer Science, Sep 2023, Palermo, Italy. pp.219--224 Communication dans un congrès hal-04349303v1
MEAD: A Multi-Armed Approach for Evaluation of Adversarial Examples Detectors Federica Granese,Marine Picot,Marco Romanelli,Francisco Messina,Pablo Piantanida ECML PKDD 2022 - European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases, Sep 2022, Grenoble, France. ⟨10.1007/978-3-031-26409-2_18⟩ Communication dans un congrès hal-03909893v1

Article dans une revue (3)

On Estimating the Strength of Differentially Private Mechanisms in a Black-Box Setting Daniele Gorla,Louis Jalouzot,Federica Granese,Catuscia Palamidessi,Pablo Piantanida IEEE Transactions on Dependable and Secure Computing, 2025, 22 (5), pp.5494-5507. ⟨10.1109/TDSC.2025.3568160⟩ Article dans une revue hal-05454091v1
A Halfspace-Mass Depth-Based Method for Adversarial Attack Detection Marine Picot,Federica Granese,Guillaume Staerman,Marco Romanelli,Francisco Messinaet al. Transactions on Machine Learning Research Journal, 2023 Article dans une revue hal-04575113v1
Enhanced Models for Privacy and Utility in Continuous-Time Diffusion Networks Federica Granese,Daniele Gorla,Catuscia Palamidessi International Journal of Information Security, 2021, 20 (5), pp.673-782. ⟨10.1007/s10207-020-00530-7⟩ Article dans une revue hal-03094843v1

Pré-publication, Document de travail (1)

IKrNet: A Neural Network for Detecting Specific Drug-Induced Patterns in Electrocardiograms Amidst Physiological Variability Ahmad Fall,Federica Granese,Alex Lence,Dominique Fourer,Blaise Hanczaret al. 2025 Pré-publication, Document de travail hal-05195567v1

Poster de conférence (1)

Adapting TabPFN for Zero-Inflated Metagenomic Data Giulia Perciballi,Federica Granese,Ahmad Fall,Farida Zehraoui,Edi Priftiet al. NeurIPS 2024 Third Table Representation Learning Workshop, Dec 2024, Vancouver, Canada. , 2024 Poster de conférence hal-05197388v1

Thèse (1)

Securing Machine Learning Algorithms Federica Granese Artificial Intelligence [cs.AI]. Institut Polytechnique de Paris; Università degli studi La Sapienza (Rome), 2023. English. ⟨NNT : 2023IPPAX029⟩ Thèse tel-04407139v2