Algorithms with More Granular Differential Privacy Guarantees

8 September 2022

Papers citing "Algorithms with More Granular Differential Privacy Guarantees"

6 / 6 papers shown

Title
DPolicy: Managing Privacy Risks Across Multiple Releases with Differential Privacy Nicolas Küchler Alexander Viand Hidde Lycklama Anwar Hithnawi 21 0 0 10 May 2025
Enhancing Feature-Specific Data Protection via Bayesian Coordinate Differential Privacy Maryam Aliakbarpour Syomantak Chaudhuri T. Courtade Alireza Fallah Michael I. Jordan 23 0 0 24 Oct 2024
Analyzing Inference Privacy Risks Through Gradients in Machine Learning Zhuohang Li Andrew Lowy Jing Liu T. Koike-Akino K. Parsons Bradley Malin Ye Wang FedML 23 1 0 29 Aug 2024
Private Learning with Public Features Walid Krichene Nicolas Mayoraz Steffen Rendle Shuang Song Abhradeep Thakurta Li Zhang 16 6 0 24 Oct 2023
Amplification by Shuffling: From Local to Central Differential Privacy via Anonymity Ulfar Erlingsson Vitaly Feldman Ilya Mironov A. Raghunathan Kunal Talwar Abhradeep Thakurta 134 420 0 29 Nov 2018
Sample Complexity Bounds on Differentially Private Learning via Communication Complexity Vitaly Feldman David Xiao 164 71 0 25 Feb 2014