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Differentially Private Stochastic Linear Bandits: (Almost) for Free

Differentially Private Stochastic Linear Bandits: (Almost) for Free

7 July 2022
Osama A. Hanna
Antonious M. Girgis
Christina Fragouli
Suhas Diggavi
    FedML
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Papers citing "Differentially Private Stochastic Linear Bandits: (Almost) for Free"

14 / 14 papers shown
Title
Does Feedback Help in Bandits with Arm Erasures?
Does Feedback Help in Bandits with Arm Erasures?
Merve Karakas
Osama A. Hanna
Lin Yang
Christina Fragouli
28
0
0
29 Apr 2025
The Safety-Privacy Tradeoff in Linear Bandits
The Safety-Privacy Tradeoff in Linear Bandits
Arghavan Zibaie
Spencer Hutchinson
Ramtin Pedarsani
Mahnoosh Alizadeh
28
0
0
23 Apr 2025
Differentially Private Kernelized Contextual Bandits
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
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
FLIPHAT: Joint Differential Privacy for High Dimensional Sparse Linear Bandits
Sunrit Chakraborty
Saptarshi Roy
Debabrota Basu
FedML
31
1
0
22 May 2024
On the Optimal Regret of Locally Private Linear Contextual Bandit
On the Optimal Regret of Locally Private Linear Contextual Bandit
Jiachun Li
David Simchi-Levi
Yining Wang
44
2
0
15 Apr 2024
Differentially Private High Dimensional Bandits
Differentially Private High Dimensional Bandits
Apurv Shukla
24
0
0
06 Feb 2024
Fixed-Budget Differentially Private Best Arm Identification
Fixed-Budget Differentially Private Best Arm Identification
Zhirui Chen
P. Karthik
Yeow Meng Chee
Vincent Y. F. Tan
35
1
0
17 Jan 2024
Privacy Preserving Adaptive Experiment Design
Privacy Preserving Adaptive Experiment Design
Jiachun Li
Kaining Shi
David Simchi-Levi
31
1
0
16 Jan 2024
Concentrated Differential Privacy for Bandits
Concentrated Differential Privacy for Bandits
Achraf Azize
D. Basu
26
4
0
01 Sep 2023
Federated Linear Contextual Bandits with User-level Differential Privacy
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
Robust and differentially private stochastic linear bandits
Vasileios Charisopoulos
Hossein Esfandiari
Vahab Mirrokni
FedML
21
1
0
23 Apr 2023
On Differentially Private Federated Linear Contextual Bandits
On Differentially Private Federated Linear Contextual Bandits
Xingyu Zhou
Sayak Ray Chowdhury
FedML
37
15
0
27 Feb 2023
Amplification by Shuffling: From Local to Central Differential Privacy
  via Anonymity
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
1