Locality Sensitive Hashing of Trajectories Under Local Differential Privacy. - Fabrizio Boninsegna (SEBD, 2023)

A Simple Linear Space Data Structure for ANN with Application in Differential Privacy. - Martin Aumüller 001; Fabrizio Boninsegna; Francesco Silvestri 001 (CoRR, 2024)

Differential Privacy Releasing of Hierarchical Origin/Destination Data with a TopDown Approach. - Fabrizio Boninsegna; Francesco Silvestri 001 (CoRR, 2024)

Differentially Private High-Dimensional Approximate Range Counting, Revisited. - Martin Aumüller 001; Fabrizio Boninsegna; Francesco Silvestri 001 (FORC, 2025)

Differentially Private Release of Hierarchical Origin/Destination Data with a TopDown Approach. - Fabrizio Boninsegna; Francesco Silvestri 001 (Proc. Priv. Enhancing Technol., 2025)

Lightweight Protocols for Distributed Private Quantile Estimation. - Anders Aamand; Fabrizio Boninsegna; Abigail Gentle; Jacob Imola; Rasmus Pagh (CoRR, 2025)

InfTDA: A Simple TopDown Mechanism for Hierarchical Differentially Private Counting Queries. - Fabrizio Boninsegna (CoRR, 2025)

Differentially Private Quantiles with Smaller Error. - Jacob Imola; Fabrizio Boninsegna; Hannah Keller; Anders Aamand; Amrita Roy Chowdhury 001; Rasmus Pagh (CoRR, 2025)