Privacy Amplification via Shuffling for Linear Contextual Bandits

Privacy Amplification via Shuffling for Linear Contextual Bandits

11 December 2021

Evrard Garcelon

Kamalika Chaudhuri

Vianney Perchet

Papers citing "Privacy Amplification via Shuffling for Linear Contextual Bandits"

17 / 17 papers shown

Title
Locally Private Nonparametric Contextual Multi-armed Bandits Yuheng Ma Feiyu Jiang Zifeng Zhao Hanfang Yang Y. Yu 37 0 0 11 Mar 2025
Differentially Private Kernelized Contextual Bandits Nikola Pavlovic Sudeep Salgia Qing Zhao 38 1 0 13 Jan 2025
Federated Online Prediction from Experts with Differential Privacy: Separations and Regret Speed-ups Fengyu Gao Ruiquan Huang Jing Yang FedML 32 0 0 27 Sep 2024
FLIPHAT: Joint Differential Privacy for High Dimensional Sparse Linear Bandits Sunrit Chakraborty Saptarshi Roy Debabrota Basu FedML 31 1 0 22 May 2024
Federated Linear Contextual Bandits with User-level Differential Privacy Ruiquan Huang Huanyu Zhang Luca Melis Milan Shen Meisam Hajzinia J. Yang FedML 20 11 0 08 Jun 2023
Robust and differentially private stochastic linear bandits Vasileios Charisopoulos Hossein Esfandiari Vahab Mirrokni FedML 21 1 0 23 Apr 2023
adaPARL: Adaptive Privacy-Aware Reinforcement Learning for Sequential-Decision Making Human-in-the-Loop Systems Mojtaba Taherisadr S. Stavroulakis Salma Elmalaki 16 15 0 07 Mar 2023
On Differentially Private Federated Linear Contextual Bandits Xingyu Zhou Sayak Ray Chowdhury FedML 37 15 0 27 Feb 2023
Concurrent Shuffle Differential Privacy Under Continual Observation J. Tenenbaum Haim Kaplan Yishay Mansour Uri Stemmer FedML 30 2 0 29 Jan 2023
Near-Optimal Differentially Private Reinforcement Learning Dan Qiao Yu-Xiang Wang 22 13 0 09 Dec 2022
Differentially Private Linear Bandits with Partial Distributed Feedback Fengjiao Li Xingyu Zhou Bo Ji FedML 26 13 0 12 Jul 2022
Differentially Private Stochastic Linear Bandits: (Almost) for Free Osama A. Hanna Antonious M. Girgis Christina Fragouli Suhas Diggavi FedML 24 18 0 07 Jul 2022
Distributed Differential Privacy in Multi-Armed Bandits Sayak Ray Chowdhury Xingyu Zhou 25 12 0 12 Jun 2022
Shuffle Private Linear Contextual Bandits Sayak Ray Chowdhury Xingyu Zhou FedML 16 25 0 11 Feb 2022
The Elliptical Potential Lemma Revisited Alexandra Carpentier Claire Vernade Yasin Abbasi-Yadkori 108 20 0 20 Oct 2020
Amplification by Shuffling: From Local to Central Differential Privacy via Anonymity Ulfar Erlingsson Vitaly Feldman Ilya Mironov A. Raghunathan Kunal Talwar Abhradeep Thakurta 141 420 0 29 Nov 2018
Prochlo: Strong Privacy for Analytics in the Crowd Andrea Bittau Ulfar Erlingsson Petros Maniatis Ilya Mironov A. Raghunathan David Lie Mitch Rudominer Ushasree Kode J. Tinnés B. Seefeld 88 278 0 02 Oct 2017