When Are Linear Stochastic Bandits Attackable?

18 October 2021

Papers citing "When Are Linear Stochastic Bandits Attackable?"

10 / 10 papers shown

Title
Stealthy Adversarial Attacks on Stochastic Multi-Armed Bandits Zhiwei Wang Huazheng Wang Hongning Wang AAML 32 0 0 21 Feb 2024
Byzantine-Resilient Decentralized Multi-Armed Bandits Jingxuan Zhu Alec Koppel Alvaro Velasquez Ji Liu 6 6 0 11 Oct 2023
Adversarial Attacks on Combinatorial Multi-Armed Bandits R. Balasubramanian Jiawei Li Prasad Tadepalli Huazheng Wang Qingyun Wu Haoyu Zhao AAML 31 2 0 08 Oct 2023
Follow-ups Also Matter: Improving Contextual Bandits via Post-serving Contexts Chaoqi Wang Ziyu Ye Zhe Feng Ashwinkumar Badanidiyuru Haifeng Xu 16 1 0 25 Sep 2023
Adversarial Attacks on Online Learning to Rank with Stochastic Click Models Zichen Wang R. Balasubramanian Hui Yuan Chenyu Song Mengdi Wang Huazheng Wang AAML 21 2 0 30 May 2023
Adversarial Attacks on Online Learning to Rank with Click Feedback Jinhang Zuo Zhiyao Zhang Zhiyong Wang Shuai Li Mohammad Hajiesmaili Adam Wierman AAML 19 3 0 26 May 2023
Reward Teaching for Federated Multi-armed Bandits Chengshuai Shi Wei Xiong Cong Shen Jing Yang FedML 21 1 0 03 May 2023
Adversarial Attacks on Adversarial Bandits Yuzhe Ma Zhijin Zhou AAML 13 8 0 30 Jan 2023
On Optimal Robustness to Adversarial Corruption in Online Decision Problems Shinji Ito 30 22 0 22 Sep 2021
Reward Poisoning in Reinforcement Learning: Attacks Against Unknown Learners in Unknown Environments Amin Rakhsha Xuezhou Zhang Xiaojin Zhu Adish Singla AAML OffRL 29 37 0 16 Feb 2021