Algorithms for Differentially Private Multi-Armed Bandits

27 November 2015

Papers citing "Algorithms for Differentially Private Multi-Armed Bandits"

28 / 28 papers shown

Title
Trustworthy Distributed AI Systems: Robustness, Privacy, and Governance Wenqi Wei Ling Liu 36 16 0 02 Feb 2024
On the Complexity of Differentially Private Best-Arm Identification with Fixed Confidence Achraf Azize Marc Jourdan Aymen Al Marjani D. Basu 55 3 0 05 Sep 2023
Concentrated Differential Privacy for Bandits Achraf Azize D. Basu 41 4 0 01 Sep 2023
Local Differential Privacy for Sequential Decision Making in a Changing Environment Pratik Gajane 22 1 0 02 Jan 2023
Anonymous Bandits for Multi-User Systems Hossein Esfandiari Vahab Mirrokni Jon Schneider PICV 26 0 0 21 Oct 2022
Dynamic Global Sensitivity for Differentially Private Contextual Bandits Huazheng Wang Dave Zhao Hongning Wang 37 5 0 30 Aug 2022
Differentially Private Linear Bandits with Partial Distributed Feedback Fengjiao Li Xingyu Zhou Bo Ji FedML 39 13 0 12 Jul 2022
Distributed Differential Privacy in Multi-Armed Bandits Sayak Ray Chowdhury Xingyu Zhou 40 12 0 12 Jun 2022
Private and Byzantine-Proof Cooperative Decision-Making Abhimanyu Dubey Alex Pentland 19 24 0 27 May 2022
Differentially Private Temporal Difference Learning with Stochastic Nonconvex-Strongly-Concave Optimization Canzhe Zhao Yanjie Ze Jing Dong Baoxiang Wang Shuai Li 58 4 0 25 Jan 2022
Differentially Private Regret Minimization in Episodic Markov Decision Processes Sayak Ray Chowdhury Xingyu Zhou 29 21 0 20 Dec 2021
Differentially Private Exploration in Reinforcement Learning with Linear Representation Paul Luyo Evrard Garcelon A. Lazaric Matteo Pirotta 60 11 0 02 Dec 2021
Adaptive Control of Differentially Private Linear Quadratic Systems Sayak Ray Chowdhury Xingyu Zhou Ness B. Shroff 38 10 0 26 Aug 2021
Cascading Bandit under Differential Privacy Kun Wang Jing Dong Baoxiang Wang Shuai Li Shuo Shao 29 1 0 24 May 2021
No-Regret Algorithms for Private Gaussian Process Bandit Optimization Abhimanyu Dubey 22 13 0 24 Feb 2021
Federated Bandit: A Gossiping Approach Zhaowei Zhu Jingxuan Zhu Ji Liu Yang Liu FedML 152 83 0 24 Oct 2020
Differentially-Private Federated Linear Bandits Abhimanyu Dubey Alex Pentland FedML 32 115 0 22 Oct 2020
Private Reinforcement Learning with PAC and Regret Guarantees G. Vietri Borja Balle A. Krishnamurthy Zhiwei Steven Wu 26 60 0 18 Sep 2020
More Than Privacy: Applying Differential Privacy in Key Areas of Artificial Intelligence Tianqing Zhu Dayong Ye Wei Wang Wanlei Zhou Philip S. Yu SyDa 42 125 0 05 Aug 2020
Learning under Invariable Bayesian Safety Gal Bahar Omer Ben-Porat Kevin Leyton-Brown Moshe Tennenholtz 29 0 0 08 Jun 2020
Federated Recommendation System via Differential Privacy Tan Li Linqi Song Christina Fragouli FedML 29 60 0 14 May 2020
SoK: Differential Privacies Damien Desfontaines Balázs Pejó 44 122 0 04 Jun 2019
Differential Privacy for Multi-armed Bandits: What Is It and What Is Its Cost? D. Basu Christos Dimitrakakis Aristide C. Y. Tossou 22 43 0 29 May 2019
Privacy-preserving Q-Learning with Functional Noise in Continuous State Spaces Baoxiang Wang N. Hegde 17 64 0 30 Jan 2019
Differentially Private Contextual Linear Bandits R. Shariff Or Sheffet 19 116 0 28 Sep 2018
Mitigating Bias in Adaptive Data Gathering via Differential Privacy Seth Neel Aaron Roth FedML 13 36 0 06 Jun 2018
Corrupt Bandits for Preserving Local Privacy Pratik Gajane Tanguy Urvoy E. Kaufmann 26 6 0 16 Aug 2017
The Price of Differential Privacy For Online Learning Naman Agarwal Karan Singh FedML 22 94 0 27 Jan 2017