publications

preprints and publications in reversed chronological order.

preprints

    2022

    1. COLT
      Private Matrix Approximation and Geometry of Unitary Orbits
      Oren Mangoubi, Yikai Wu, Satyen Kale, Abhradeep Thakurta, and Nisheeth K Vishnoi
      Conference on Learning Theory (COLT) 2022
      arXiv HTML

    2021

    1. VLDB
      Budget Sharing for Multi-Analyst Differential Privacy
      David Pujol, Yikai Wu, Brandon Fain, and Ashwin Machanavajjhala
      International Conference on Very Large Data Bases (VLDB) 2021
      arXiv HTML

    2019

    1. TPDP
      Answering Summation Queries for Numerical Attributes under Differential Privacy
      Yikai Wu, David Pujol, Ios Kotsogiannis, and Ashwin Machanavajjhala
      Theory and Practice of Differential Privacy Workshop (TPDP) 2019
      arXiv