Here is a list of my publications:

Conference Papers

  • Differentially Private Quantiles with Smaller Error
    Jacob Imola, Fabrizio Boninsegna, Hannah Keller, Anders Aamand, Amrita Roy Chowdhury, Rasmus Pagh. Neural Information Processing Systems (NeurIPS) 2025.
    📄 GitHub

  • 🌟 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.
    📄 GitHub 🎥

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

  • 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.
    📄

  • Towards a fair and comprehensive evaluation of Walkable Accessibility and Attractivity in the 15-minutes city scenario based on demographic data
    Fabrizio Boninsegna, Alessandro Nalin, Andrea Simone, Bruno Zamengo, Denis Cappellari, Francesco Silvestri. Proc. 27th International Conference Living and Walking in Cities (LWC) 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.
    📄 GitHub
  • 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

  • Piquantε: Private Quantile Estimation in the Two-Server Model
    Hannah Keller, Jacob Imola, Fabrizio Boninsegna, Rasmus Pagh, Amrita Roy Chowdhury
    📄

Projects

  • The Privacy Analysis of the Differential Private Stochastic Gradient Descent
    This is a project I did for a PhD course on Information Theoretic Models in Security at the University of Padova.
    📄