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Near Optimal Adversarial Attacks on Stochastic Bandits and Defenses with
  Smoothed Responses
v1v2v3v4v5v6v7v8 (latest)

Near Optimal Adversarial Attacks on Stochastic Bandits and Defenses with Smoothed Responses

21 August 2020
Shiliang Zuo
    AAML
ArXiv (abs)PDFHTML

Papers citing "Near Optimal Adversarial Attacks on Stochastic Bandits and Defenses with Smoothed Responses"

3 / 3 papers shown
Title
Practical Adversarial Attacks on Stochastic Bandits via Fake Data Injection
Practical Adversarial Attacks on Stochastic Bandits via Fake Data Injection
Qirun Zeng
Eric He
Richard Hoffmann
Xuchuang Wang
Jinhang Zuo
AAML
27
0
0
28 May 2025
A Model Selection Approach for Corruption Robust Reinforcement Learning
A Model Selection Approach for Corruption Robust Reinforcement Learning
Chen-Yu Wei
Christoph Dann
Julian Zimmert
195
45
0
31 Dec 2024
Stochastic Bandits Robust to Adversarial Attacks
Stochastic Bandits Robust to Adversarial Attacks
Xuchuang Wang
Jinhang Zuo
Xutong Liu
John C. S. Lui
Mohammad Hajiesmaili
AAML
35
0
0
16 Aug 2024
1