Differential Privacy for Multi-armed Bandits: What Is It and What Is Its Cost?

29 May 2019

Papers citing "Differential Privacy for Multi-armed Bandits: What Is It and What Is Its Cost?"

14 / 14 papers shown

Title
Replicability is Asymptotically Free in Multi-armed Bandits Junpei Komiyama Shinji Ito Yuichi Yoshida Souta Koshino 35 1 0 12 Feb 2024
On the Complexity of Differentially Private Best-Arm Identification with Fixed Confidence Achraf Azize Marc Jourdan Aymen Al Marjani D. Basu 44 3 0 05 Sep 2023
Concentrated Differential Privacy for Bandits Achraf Azize D. Basu 31 4 0 01 Sep 2023
Anonymous Bandits for Multi-User Systems Hossein Esfandiari Vahab Mirrokni Jon Schneider PICV 26 0 0 21 Oct 2022
Offline Reinforcement Learning with Differential Privacy Dan Qiao Yu Wang OffRL 44 23 0 02 Jun 2022
Privacy Amplification via Shuffling for Linear Contextual Bandits Evrard Garcelon Kamalika Chaudhuri Vianney Perchet Matteo Pirotta FedML 40 18 0 11 Dec 2021
Locally Differentially Private Reinforcement Learning for Linear Mixture Markov Decision Processes Chonghua Liao Jiafan He Quanquan Gu 27 17 0 19 Oct 2021
Adaptive Control of Differentially Private Linear Quadratic Systems Sayak Ray Chowdhury Xingyu Zhou Ness B. Shroff 38 10 0 26 Aug 2021
Optimal Order Simple Regret for Gaussian Process Bandits Sattar Vakili N. Bouziani Sepehr Jalali A. Bernacchia Da-Shan Shiu 36 51 0 20 Aug 2021
Cascading Bandit under Differential Privacy Kun Wang Jing Dong Baoxiang Wang Shuai Li Shuo Shao 27 1 0 24 May 2021
No-Regret Algorithms for Private Gaussian Process Bandit Optimization Abhimanyu Dubey 22 13 0 24 Feb 2021
Local Differential Privacy for Bayesian Optimization Xingyu Zhou Jian Tan 22 24 0 13 Oct 2020
Private Reinforcement Learning with PAC and Regret Guarantees G. Vietri Borja Balle A. Krishnamurthy Zhiwei Steven Wu 26 59 0 18 Sep 2020
SoK: Differential Privacies Damien Desfontaines Balázs Pejó 38 122 0 04 Jun 2019