Privacy Odometers and Filters: Pay-as-you-Go Composition

26 May 2016

Papers citing "Privacy Odometers and Filters: Pay-as-you-Go Composition"

7 / 7 papers shown

Title
On the Differential Privacy and Interactivity of Privacy Sandbox Reports Badih Ghazi Charlie Harrison Arpana Hosabettu Pritish Kamath Alexander Knop ... Ethan Leeman Pasin Manurangsi Vikas Sahu Vikas Sahu Phillipp Schoppmann 111 2 0 22 Dec 2024
Differentially Private Block-wise Gradient Shuffle for Deep Learning Zilong Zhang FedML 74 0 0 31 Jul 2024
Concurrent Composition for Interactive Differential Privacy with Adaptive Privacy-Loss Parameters Samuel Haney Michael Shoemate Grace Tian Salil P. Vadhan Andrew Vyrros Vicki Xu Wanrong Zhang 45 6 0 12 Sep 2023
Algorithmic Stability for Adaptive Data Analysis Raef Bassily Kobbi Nissim Adam D. Smith Thomas Steinke Uri Stemmer Jonathan R. Ullman 91 267 0 08 Nov 2015
Preserving Statistical Validity in Adaptive Data Analysis Cynthia Dwork Vitaly Feldman Moritz Hardt T. Pitassi Omer Reingold Aaron Roth 74 375 0 10 Nov 2014
The Composition Theorem for Differential Privacy Peter Kairouz Sewoong Oh Pramod Viswanath 107 680 0 04 Nov 2013
On the `Semantics' of Differential Privacy: A Bayesian Formulation S. Kasiviswanathan Adam D. Smith 89 167 0 27 Mar 2008