Bolt-on Differential Privacy for Scalable Stochastic Gradient Descent-based Analytics

15 June 2016

Papers citing "Bolt-on Differential Privacy for Scalable Stochastic Gradient Descent-based Analytics"

8 / 8 papers shown

Title
Deep Learning with Differential Privacy Martín Abadi Andy Chu Ian Goodfellow H. B. McMahan Ilya Mironov Kunal Talwar Li Zhang FedML SyDa 175 6,069 0 01 Jul 2016
Without-Replacement Sampling for Stochastic Gradient Methods: Convergence Results and Application to Distributed Optimization Ohad Shamir 42 32 0 02 Mar 2016
Principled Evaluation of Differentially Private Algorithms using DPBench Michael Hay Ashwin Machanavajjhala G. Miklau Yan Chen Dan Zhang 30 154 0 15 Dec 2015
Train faster, generalize better: Stability of stochastic gradient descent Moritz Hardt Benjamin Recht Y. Singer 106 1,234 0 03 Sep 2015
RAPPOR: Randomized Aggregatable Privacy-Preserving Ordinal Response Ulfar Erlingsson Vasyl Pihur Aleksandra Korolova 70 1,977 0 25 Jul 2014
Differentially Private Online Learning Prateek Jain Pravesh Kothari Abhradeep Thakurta 35 38 0 01 Sep 2011
Differentially Private Empirical Risk Minimization Kamalika Chaudhuri C. Monteleoni Anand D. Sarwate 95 1,482 0 01 Dec 2009
Learning in a Large Function Space: Privacy-Preserving Mechanisms for SVM Learning Benjamin I. P. Rubinstein Peter L. Bartlett Ling Huang N. Taft 88 293 0 30 Nov 2009