Differentially Private $k$-Means Clustering

Differentially Private $k$ -Means Clustering

22 April 2015

Papers citing "Differentially Private $k$-Means Clustering"

11 / 11 papers shown

Title
The Importance of Being Discrete: Measuring the Impact of Discretization in End-to-End Differentially Private Synthetic Data Georgi Ganev Meenatchi Sundaram Muthu Selva Annamalai Sofiane Mahiou Emiliano De Cristofaro 42 2 0 09 Apr 2025
FastLloyd: Federated, Accurate, Secure, and Tunable $k$ -Means Clustering with Differential Privacy Abdulrahman Diaa Thomas Humphries Florian Kerschbaum FedML 46 0 0 03 May 2024
Privacy-Enhanced Database Synthesis for Benchmark Publishing (Technical Report) Yongrui Zhong Yunqing Ge Jianbin Qin Yongrui Zhong Bo Tang Yu-Xuan Qiu Rui Mao Ye Yuan Makoto Onizuka Chuan Xiao 51 1 0 02 May 2024
Personalized Privacy Amplification via Importance Sampling Dominik Fay Sebastian Mair Jens Sjölund 81 0 0 05 Jul 2023
Differentially Private Synthetic Data via Foundation Model APIs 1: Images Zinan Lin Sivakanth Gopi Janardhan Kulkarni Harsha Nori Sergey Yekhanin 88 38 0 24 May 2023
Differentially Private Grids for Geospatial Data Wahbeh H. Qardaji Weining Yang Ninghui Li 56 260 0 06 Sep 2012
A Learning Theory Approach to Non-Interactive Database Privacy Avrim Blum Katrina Ligett Aaron Roth 66 550 0 10 Sep 2011
Privately Releasing Conjunctions and the Statistical Query Barrier Anupam Gupta Moritz Hardt Aaron Roth Jonathan R. Ullman 61 148 0 04 Nov 2010
Differentially Private Empirical Risk Minimization Kamalika Chaudhuri C. Monteleoni Anand D. Sarwate 93 1,482 0 01 Dec 2009
Interactive Privacy via the Median Mechanism Aaron Roth Tim Roughgarden 80 283 0 10 Nov 2009
Boosting the Accuracy of Differentially-Private Histograms Through Consistency Michael Hay Vibhor Rastogi G. Miklau Dan Suciu FedML 67 232 0 06 Apr 2009