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ORCIDFabrizio Boninsegna
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2020 – today
- 2025
[j1]Fabrizio Boninsegna
, Francesco Silvestri:
Differentially Private Release of Hierarchical Origin/Destination Data with a TopDown Approach. Proc. Priv. Enhancing Technol. 2025(3): 29-43 (2025)- [c3]Martin Aumüller, Fabrizio Boninsegna, Francesco Silvestri:
Differentially Private High-Dimensional Approximate Range Counting, Revisited. FORC 2025: 15:1-15:24 - [c2]Anders Aamand, Fabrizio Boninsegna, Abigail Gentle, Jacob Imola, Rasmus Pagh:
Lightweight Protocols for Distributed Private Quantile Estimation. ICML 2025 - [i6]Anders Aamand, Fabrizio Boninsegna, Abigail Gentle, Jacob Imola, Rasmus Pagh:
Lightweight Protocols for Distributed Private Quantile Estimation. CoRR abs/2502.02990 (2025) - [i5]Fabrizio Boninsegna:
InfTDA: A Simple TopDown Mechanism for Hierarchical Differentially Private Counting Queries. CoRR abs/2505.05347 (2025) - [i4]Jacob Imola, Fabrizio Boninsegna, Hannah Keller, Anders Aamand, Amrita Roy Chowdhury, Rasmus Pagh:
Differentially Private Quantiles with Smaller Error. CoRR abs/2505.13662 (2025) - [i3]Hannah Keller, Jacob Imola, Fabrizio Boninsegna, Rasmus Pagh, Amrita Roy Chowdhury:
Piquantϵ: Private Quantile Estimation in the Two-Server Model. CoRR abs/2509.14035 (2025) - 2024
- [i2]Martin Aumüller, Fabrizio Boninsegna, Francesco Silvestri:
A Simple Linear Space Data Structure for ANN with Application in Differential Privacy. CoRR abs/2409.07187 (2024) - [i1]Fabrizio Boninsegna, Francesco Silvestri:
Differential Privacy Releasing of Hierarchical Origin/Destination Data with a TopDown Approach. CoRR abs/2412.09256 (2024) - 2023
- [c1]Fabrizio Boninsegna:
Locality Sensitive Hashing of Trajectories Under Local Differential Privacy. SEBD 2023: 681-687
Coauthor Index
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