Privacy-Preserving Distributed Expectation Maximization for Gaussian Mixture Model using Subspace Perturbation

16 September 2022

Papers citing "Privacy-Preserving Distributed Expectation Maximization for Gaussian Mixture Model using Subspace Perturbation"

4 / 4 papers shown

Title
Privacy-Preserving Distributed Processing: Metrics, Bounds, and Algorithms Qiongxiu Li Jaron Skovsted Gundersen Richard Heusdens M. G. Christensen 46 33 0 02 Sep 2020
Privacy Preserving Machine Learning: Threats and Solutions Mohammad Al-Rubaie Jerome Chang 49 336 0 27 Mar 2018
Deep Models Under the GAN: Information Leakage from Collaborative Deep Learning Briland Hitaj G. Ateniese Fernando Perez-Cruz FedML 111 1,401 0 24 Feb 2017
Deep Learning with Differential Privacy Martín Abadi Andy Chu Ian Goodfellow H. B. McMahan Ilya Mironov Kunal Talwar Li Zhang FedML SyDa 191 6,109 0 01 Jul 2016