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Adversarial Attacks on Linear Contextual Bandits

10 February 2020

Baptiste Roziere

Papers citing "Adversarial Attacks on Linear Contextual Bandits"

30 / 30 papers shown

Title
Practical Adversarial Attacks on Stochastic Bandits via Fake Data Injection Qirun Zeng Eric He Richard Hoffmann Xuchuang Wang Jinhang Zuo AAML 22 0 0 28 May 2025
Robust Thompson Sampling Algorithms Against Reward Poisoning Attacks Yinglun Xu Zhiwei Wang Gagandeep Singh AAML 70 1 0 25 Oct 2024
Strategic Linear Contextual Bandits Thomas Kleine Buening Aadirupa Saha Christos Dimitrakakis Haifeng Xu 91 1 0 01 Jun 2024
Regret Minimization via Saddle Point Optimization Johannes Kirschner Seyed Alireza Bakhtiari Kushagra Chandak Volodymyr Tkachuk Csaba Szepesvári 60 1 0 15 Mar 2024
Stealthy Adversarial Attacks on Stochastic Multi-Armed Bandits Zhiwei Wang Huazheng Wang Hongning Wang AAML 78 0 0 21 Feb 2024
Best-of-Both-Worlds Algorithms for Linear Contextual Bandits Yuko Kuroki Alberto Rumi Taira Tsuchiya Fabio Vitale Nicolò Cesa-Bianchi 120 7 0 24 Dec 2023
Adversarial Attacks on Cooperative Multi-agent Bandits Jinhang Zuo Zhiyao Zhang Xuchuang Wang Cheng Chen Shuai Li J. C. Lui Mohammad Hajiesmaili Adam Wierman AAML 42 1 0 03 Nov 2023
Adversarial Attacks on Combinatorial Multi-Armed Bandits R. Balasubramanian Jiawei Li Prasad Tadepalli Huazheng Wang Qingyun Wu Haoyu Zhao AAML 67 2 0 08 Oct 2023
Online Corrupted User Detection and Regret Minimization Zhiyong Wang Jize Xie Tong Yu Shuai Li J. C. Lui 64 6 0 07 Oct 2023
Corruption-Robust Lipschitz Contextual Search Shiliang Zuo 59 1 0 26 Jul 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 56 3 0 30 May 2023
Robust Lipschitz Bandits to Adversarial Corruptions Yue Kang Cho-Jui Hsieh T. C. Lee AAML 81 10 0 29 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 41 5 0 26 May 2023
Black-Box Targeted Reward Poisoning Attack Against Online Deep Reinforcement Learning Yinglun Xu Gagandeep Singh OffRL AAML 64 3 0 18 May 2023
Reward Teaching for Federated Multi-armed Bandits Chengshuai Shi Wei Xiong Cong Shen Jing Yang FedML 55 1 0 03 May 2023
Robust and differentially private stochastic linear bandits Vasileios Charisopoulos Hossein Esfandiari Vahab Mirrokni FedML 72 1 0 23 Apr 2023
Adversarial Attacks on Adversarial Bandits Yuzhe Ma Zhijin Zhou AAML 57 9 0 30 Jan 2023
Collaborative Linear Bandits with Adversarial Agents: Near-Optimal Regret Bounds A. Mitra Arman Adibi George J. Pappas Hamed Hassani 68 7 0 06 Jun 2022
Reward Poisoning Attacks on Offline Multi-Agent Reinforcement Learning Young Wu Jermey McMahan Xiaojin Zhu Qiaomin Xie AAML OffRL 117 18 0 04 Jun 2022
Federated Multi-Armed Bandits Under Byzantine Attacks Artun Saday Ilker Demirel Yiğit Yıldırım Cem Tekin AAML 57 13 0 09 May 2022
Efficient Action Poisoning Attacks on Linear Contextual Bandits Guanlin Liu Lifeng Lai AAML 58 4 0 10 Dec 2021
Linear Contextual Bandits with Adversarial Corruptions Heyang Zhao Dongruo Zhou Quanquan Gu AAML 101 24 0 25 Oct 2021
When Are Linear Stochastic Bandits Attackable? Huazheng Wang Haifeng Xu Hongning Wang AAML 71 11 0 18 Oct 2021
Game Redesign in No-regret Game Playing Yuzhe Ma Young Wu Xiaojin Zhu 66 10 0 18 Oct 2021
Adversarial Attacks on Gaussian Process Bandits E. Han Jonathan Scarlett GP AAML 53 6 0 16 Oct 2021
Exploiting Heterogeneity in Robust Federated Best-Arm Identification A. Mitra Hamed Hassani George Pappas FedML 93 27 0 13 Sep 2021
Robust Stochastic Linear Contextual Bandits Under Adversarial Attacks Qin Ding Cho-Jui Hsieh James Sharpnack AAML 101 33 0 05 Jun 2021
Adversarial Robustness by Design through Analog Computing and Synthetic Gradients Alessandro Cappelli Ruben Ohana Julien Launay Laurent Meunier Iacopo Poli Florent Krzakala AAML 121 13 0 06 Jan 2021
Near Optimal Adversarial Attacks on Stochastic Bandits and Defenses with Smoothed Responses Shiliang Zuo AAML 93 2 0 21 Aug 2020
Contextual Linear Bandits under Noisy Features: Towards Bayesian Oracles Jung-hun Kim Se-Young Yun Minchan Jeong J. Nam Jinwoo Shin Richard Combes 54 5 0 03 Mar 2017