Differentially Private Stochastic Linear Bandits: (Almost) for Free

Differentially Private Stochastic Linear Bandits: (Almost) for Free

7 July 2022

Antonious M. Girgis

Christina Fragouli

Suhas Diggavi

Papers citing "Differentially Private Stochastic Linear Bandits: (Almost) for Free"

7 / 7 papers shown

Title
Differentially Private Linear Bandits with Partial Distributed Feedback Fengjiao Li Xingyu Zhou Bo Ji FedML 46 14 0 12 Jul 2022
Privacy Amplification via Shuffling for Linear Contextual Bandits Evrard Garcelon Kamalika Chaudhuri Vianney Perchet Matteo Pirotta FedML 74 19 0 11 Dec 2021
Differentially Private Multi-Armed Bandits in the Shuffle Model J. Tenenbaum Haim Kaplan Yishay Mansour Uri Stemmer FedML 48 29 0 05 Jun 2021
Hiding Among the Clones: A Simple and Nearly Optimal Analysis of Privacy Amplification by Shuffling Vitaly Feldman Audra McMillan Kunal Talwar FedML 59 161 0 23 Dec 2020
Multi-Armed Bandits with Local Differential Privacy Wenbo Ren Xingyu Zhou Jia Liu Ness B. Shroff 24 48 0 06 Jul 2020
An Optimal Private Stochastic-MAB Algorithm Based on an Optimal Private Stopping Rule Touqir Sajed Or Sheffet 48 48 0 22 May 2019
Amplification by Shuffling: From Local to Central Differential Privacy via Anonymity Ulfar Erlingsson Vitaly Feldman Ilya Mironov A. Raghunathan Kunal Talwar Abhradeep Thakurta 172 426 0 29 Nov 2018