Concentrated Differential Privacy for Bandits

1 September 2023

Papers citing "Concentrated Differential Privacy for Bandits"

6 / 6 papers shown

Title
FLIPHAT: Joint Differential Privacy for High Dimensional Sparse Linear Bandits Sunrit Chakraborty Saptarshi Roy Debabrota Basu FedML 33 1 0 22 May 2024
Fixed-Budget Differentially Private Best Arm Identification Zhirui Chen P. Karthik Yeow Meng Chee Vincent Y. F. Tan 43 1 0 17 Jan 2024
CRIMED: Lower and Upper Bounds on Regret for Bandits with Unbounded Stochastic Corruption Shubhada Agrawal Timothée Mathieu D. Basu Odalric-Ambrym Maillard 27 2 0 28 Sep 2023
On the Statistical Complexity of Estimation and Testing under Privacy Constraints Clément Lalanne Aurélien Garivier Rémi Gribonval 27 7 0 05 Oct 2022
When Privacy Meets Partial Information: A Refined Analysis of Differentially Private Bandits Achraf Azize D. Basu 30 21 0 06 Sep 2022
New Lower Bounds for Private Estimation and a Generalized Fingerprinting Lemma Gautam Kamath Argyris Mouzakis Vikrant Singhal FedML 42 26 0 17 May 2022