Federica Granese
10
Documents
Publications
Publications
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Merging Embedded Topics with Optimal Transport for Online Topic Modeling on Data StreamsJoint 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-05468591
v1
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On the (Im)Possibility of Estimating Various Notions of Differential Privacy (short paper)ICTCS 2023 - The 24th Italian Conference on Theoretical Computer Science, Sep 2023, Palermo, Italy. pp.219--224
Communication dans un congrès
hal-04349303
v1
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MEAD: A Multi-Armed Approach for Evaluation of Adversarial Examples DetectorsECML 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-03909893
v1
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On Estimating the Strength of Differentially Private Mechanisms in a Black-Box SettingIEEE Transactions on Dependable and Secure Computing, 2025, 22 (5), pp.5494-5507. ⟨10.1109/TDSC.2025.3568160⟩
Article dans une revue
hal-05454091
v1
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A Halfspace-Mass Depth-Based Method for Adversarial Attack DetectionTransactions on Machine Learning Research Journal, 2023
Article dans une revue
hal-04575113
v1
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Enhanced Models for Privacy and Utility in Continuous-Time Diffusion NetworksInternational Journal of Information Security, 2021, 20 (5), pp.673-782. ⟨10.1007/s10207-020-00530-7⟩
Article dans une revue
hal-03094843
v1
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Stick-Breaking Embedded Topic Model with Continuous Optimal Transport for Online Analysis of Document Streams2025
Pré-publication, Document de travail
(preprint/prepublication)
hal-05325837
v1
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IKrNet: A Neural Network for Detecting Specific Drug-Induced Patterns in Electrocardiograms Amidst Physiological Variability2025
Pré-publication, Document de travail
hal-05195567
v1
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Adapting TabPFN for Zero-Inflated Metagenomic DataNeurIPS 2024 Third Table Representation Learning Workshop, Dec 2024, Vancouver, Canada. , 2024
Poster de conférence
hal-05197388
v1
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Securing Machine Learning AlgorithmsArtificial Intelligence [cs.AI]. Institut Polytechnique de Paris; Università degli studi La Sapienza (Rome), 2023. English. ⟨NNT : 2023IPPAX029⟩
Thèse
tel-04407139
v2
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