A Smooth Binary Mechanism for Efficient Private Continual Observation

16 June 2023

Papers citing "A Smooth Binary Mechanism for Efficient Private Continual Observation"

10 / 10 papers shown

Title
Binned Group Algebra Factorization for Differentially Private Continual Counting Monika Henzinger Nikita P. Kalinin Jalaj Upadhyay 19 0 0 06 Apr 2025
A Hassle-free Algorithm for Private Learning in Practice: Don't Use Tree Aggregation, Use BLTs H. B. McMahan Zheng Xu Yanxiang Zhang FedML 24 5 0 16 Aug 2024
DPSW-Sketch: A Differentially Private Sketch Framework for Frequency Estimation over Sliding Windows (Technical Report) Yiping Wang Yanhao Wang Cen Chen 32 1 0 12 Jun 2024
Continual Counting with Gradual Privacy Expiration Joel Daniel Andersson Monika Henzinger Rasmus Pagh Teresa Anna Steiner Jalaj Upadhyay 35 1 0 06 Jun 2024
Adaptive Data Analysis for Growing Data Neil G. Marchant Benjamin I. P. Rubinstein 17 0 0 22 May 2024
Efficient and Near-Optimal Noise Generation for Streaming Differential Privacy Krishnamurthy Dvijotham H. B. McMahan Krishna Pillutla Thomas Steinke Abhradeep Thakurta 27 10 0 25 Apr 2024
Time-Aware Projections: Truly Node-Private Graph Statistics under Continual Observation Palak Jain Adam D. Smith Connor Wagaman 14 5 0 07 Mar 2024
A Unifying Framework for Differentially Private Sums under Continual Observation Monika Henzinger Jalaj Upadhyay Sarvagya Upadhyay FedML 20 14 0 18 Jul 2023
Constant matters: Fine-grained Complexity of Differentially Private Continual Observation Hendrik Fichtenberger Monika Henzinger Jalaj Upadhyay 24 20 0 23 Feb 2022
Practical and Private (Deep) Learning without Sampling or Shuffling Peter Kairouz Brendan McMahan Shuang Song Om Thakkar Abhradeep Thakurta Zheng Xu FedML 170 193 0 26 Feb 2021