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Achieving Privacy in the Adversarial Multi-Armed Bandit

Achieving Privacy in the Adversarial Multi-Armed Bandit

16 January 2017
Aristide C. Y. Tossou
Christos Dimitrakakis
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Papers citing "Achieving Privacy in the Adversarial Multi-Armed Bandit"

19 / 19 papers shown
Title
Trustworthy Distributed AI Systems: Robustness, Privacy, and Governance
Trustworthy Distributed AI Systems: Robustness, Privacy, and Governance
Wenqi Wei
Ling Liu
36
16
0
02 Feb 2024
Concentrated Differential Privacy for Bandits
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
Local Differential Privacy for Sequential Decision Making in a Changing Environment
Pratik Gajane
22
1
0
02 Jan 2023
Dynamic Global Sensitivity for Differentially Private Contextual Bandits
Dynamic Global Sensitivity for Differentially Private Contextual Bandits
Huazheng Wang
Dave Zhao
Hongning Wang
34
5
0
30 Aug 2022
Distributed Differential Privacy in Multi-Armed Bandits
Distributed Differential Privacy in Multi-Armed Bandits
Sayak Ray Chowdhury
Xingyu Zhou
40
12
0
12 Jun 2022
Offline Reinforcement Learning with Differential Privacy
Offline Reinforcement Learning with Differential Privacy
Dan Qiao
Yu Wang
OffRL
44
23
0
02 Jun 2022
Private and Byzantine-Proof Cooperative Decision-Making
Private and Byzantine-Proof Cooperative Decision-Making
Abhimanyu Dubey
Alex Pentland
19
24
0
27 May 2022
Improved Regret for Differentially Private Exploration in Linear MDP
Improved Regret for Differentially Private Exploration in Linear MDP
Dung Daniel Ngo
G. Vietri
Zhiwei Steven Wu
35
8
0
02 Feb 2022
Differentially Private Regret Minimization in Episodic Markov Decision
  Processes
Differentially Private Regret Minimization in Episodic Markov Decision Processes
Sayak Ray Chowdhury
Xingyu Zhou
29
21
0
20 Dec 2021
Adaptive Control of Differentially Private Linear Quadratic Systems
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
Cascading Bandit under Differential Privacy
Kun Wang
Jing Dong
Baoxiang Wang
Shuai Li
Shuo Shao
27
1
0
24 May 2021
Private Reinforcement Learning with PAC and Regret Guarantees
Private Reinforcement Learning with PAC and Regret Guarantees
G. Vietri
Borja Balle
A. Krishnamurthy
Zhiwei Steven Wu
26
59
0
18 Sep 2020
More Than Privacy: Applying Differential Privacy in Key Areas of
  Artificial Intelligence
More Than Privacy: Applying Differential Privacy in Key Areas of Artificial Intelligence
Tianqing Zhu
Dayong Ye
Wei Wang
Wanlei Zhou
Philip S. Yu
SyDa
38
125
0
05 Aug 2020
Learning under Invariable Bayesian Safety
Learning under Invariable Bayesian Safety
Gal Bahar
Omer Ben-Porat
Kevin Leyton-Brown
Moshe Tennenholtz
27
0
0
08 Jun 2020
Differential Privacy for Multi-armed Bandits: What Is It and What Is Its
  Cost?
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
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
Differentially Private Contextual Linear Bandits
R. Shariff
Or Sheffet
19
114
0
28 Sep 2018
Mitigating Bias in Adaptive Data Gathering via Differential Privacy
Mitigating Bias in Adaptive Data Gathering via Differential Privacy
Seth Neel
Aaron Roth
FedML
13
36
0
06 Jun 2018
The Price of Differential Privacy For Online Learning
The Price of Differential Privacy For Online Learning
Naman Agarwal
Karan Singh
FedML
22
94
0
27 Jan 2017
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