Research

Here is a list of my publications:

Conference Papers

• 🌟 Spotlight: Lightweight Protocols for Distributed Private Quantile Estimation
  Anders Aamand, Fabrizio Boninsegna, Abigail Gentle, Jacob Imola, Rasmus Pagh. Spotlight at International Conference on Machine Learning (ICML) 2025.

• Differentially Private Release of Hierarchical Origin/Destination Data with a TopDown Approach
  Fabrizio Boninsegna, Francesco Silvestri. Proc. 25th Privacy Enhancing Technologies Symposium (PETS), 2025.

• Differentially Private High-Dimensional Approximate Range Counting, Revisited
  Martin Aumüller, Fabrizio Boninsegna, Francesco Silvestri. Proc. of 6th annual Symposium on Foundations of Responsible Computing (FORC) 2025.

• Locality Sensitive Hashing of Trajectories Under Local Differential Privacy Fabrizio Boninsegna. Proc. 31st Symposium on Advanced Database Systems (SEBD) 2023.

Workshop Papers

• InfTDA: a Simple TopDown Mechanism for Hierarchical Differentially Private Counting Queries
  Fabrizio Boninsegna. Workshop on Theory and Practice of Differential Privacy (TPDP) 2025.
• Private Quantile Estimation in the Two Server Model
  Jacob Imola, Fabrizio Boninsegna, Hannah Keller, Anders Aamand, Amrita Roy Chowdhury, Rasmus Pagh. Workshop on Theory and Practice of Differential Privacy (TPDP) 2025.

Preprints

• Differentially Private Quantiles with Smaller Error
  Jacob Imola, Fabrizio Boninsegna, Hannah Keller, Anders Aamand, Amrita Roy Chowdhury, Rasmus Pagh. Preprint 2025.