Data Poisoning Attacks on Stochastic Bandits

16 May 2019

Papers citing "Data Poisoning Attacks on Stochastic Bandits"

31 / 31 papers shown

Title
Stealthy Adversarial Attacks on Stochastic Multi-Armed Bandits Zhiwei Wang Huazheng Wang Hongning Wang AAML 49 0 0 21 Feb 2024
Trustworthy Distributed AI Systems: Robustness, Privacy, and Governance Wenqi Wei Ling Liu 31 16 0 02 Feb 2024
CRIMED: Lower and Upper Bounds on Regret for Bandits with Unbounded Stochastic Corruption Shubhada Agrawal Timothée Mathieu D. Basu Odalric-Ambrym Maillard 27 2 0 28 Sep 2023
Concentrated Differential Privacy for Bandits Achraf Azize D. Basu 28 4 0 01 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 37 2 0 30 May 2023
Black-Box Targeted Reward Poisoning Attack Against Online Deep Reinforcement Learning Yinglun Xu Gagandeep Singh OffRL AAML 34 3 0 18 May 2023
Backdoor Learning for NLP: Recent Advances, Challenges, and Future Research Directions Marwan Omar SILM AAML 33 20 0 14 Feb 2023
Reward Delay Attacks on Deep Reinforcement Learning Anindya Sarkar Jiarui Feng Yevgeniy Vorobeychik Christopher Gill Ning Zhang AAML 13 6 0 08 Sep 2022
Collaborative Linear Bandits with Adversarial Agents: Near-Optimal Regret Bounds A. Mitra Arman Adibi George J. Pappas Hamed Hassani 44 6 0 06 Jun 2022
Efficient Reward Poisoning Attacks on Online Deep Reinforcement Learning Yinglun Xu Qi Zeng Gagandeep Singh AAML 38 6 0 30 May 2022
Federated Multi-Armed Bandits Under Byzantine Attacks Artun Saday Ilker Demirel Yiğit Yıldırım Cem Tekin AAML 37 13 0 09 May 2022
Efficient Action Poisoning Attacks on Linear Contextual Bandits Guanlin Liu Lifeng Lai AAML 41 4 0 10 Dec 2021
Linear Contextual Bandits with Adversarial Corruptions Heyang Zhao Dongruo Zhou Quanquan Gu AAML 30 24 0 25 Oct 2021
When Are Linear Stochastic Bandits Attackable? Huazheng Wang Haifeng Xu Hongning Wang AAML 37 10 0 18 Oct 2021
Game Redesign in No-regret Game Playing Yuzhe Ma Young Wu Xiaojin Zhu 24 10 0 18 Oct 2021
Provably Efficient Black-Box Action Poisoning Attacks Against Reinforcement Learning Guanlin Liu Lifeng Lai AAML 32 34 0 09 Oct 2021
On Optimal Robustness to Adversarial Corruption in Online Decision Problems Shinji Ito 42 22 0 22 Sep 2021
Poisoning Attack against Estimating from Pairwise Comparisons Ke Ma Qianqian Xu Jinshan Zeng Xiaochun Cao Qingming Huang AAML 24 22 0 05 Jul 2021
Robust Stochastic Linear Contextual Bandits Under Adversarial Attacks Qin Ding Cho-Jui Hsieh James Sharpnack AAML 26 31 0 05 Jun 2021
Reward Poisoning in Reinforcement Learning: Attacks Against Unknown Learners in Unknown Environments Amin Rakhsha Xuezhou Zhang Xiaojin Zhu Adish Singla AAML OffRL 44 37 0 16 Feb 2021
Improved Corruption Robust Algorithms for Episodic Reinforcement Learning Yifang Chen S. Du Kevin G. Jamieson 24 22 0 13 Feb 2021
Disturbing Reinforcement Learning Agents with Corrupted Rewards Rubén Majadas Javier A. García Fernando Fernández AAML 19 6 0 12 Feb 2021
Defense Against Reward Poisoning Attacks in Reinforcement Learning Kiarash Banihashem Adish Singla Goran Radanović AAML 35 26 0 10 Feb 2021
Dataset Security for Machine Learning: Data Poisoning, Backdoor Attacks, and Defenses Micah Goldblum Dimitris Tsipras Chulin Xie Xinyun Chen Avi Schwarzschild D. Song A. Madry Bo-wen Li Tom Goldstein SILM 27 270 0 18 Dec 2020
Policy Teaching in Reinforcement Learning via Environment Poisoning Attacks Amin Rakhsha Goran Radanović R. Devidze Xiaojin Zhu Adish Singla AAML OffRL 28 29 0 21 Nov 2020
Robust Multi-Agent Multi-Armed Bandits Daniel Vial Sanjay Shakkottai R. Srikant 8 36 0 07 Jul 2020
Policy Teaching via Environment Poisoning: Training-time Adversarial Attacks against Reinforcement Learning Amin Rakhsha Goran Radanović R. Devidze Xiaojin Zhu Adish Singla AAML OffRL 9 121 0 28 Mar 2020
Adaptive Reward-Poisoning Attacks against Reinforcement Learning Xuezhou Zhang Yuzhe Ma Adish Singla Xiaojin Zhu AAML 29 124 0 27 Mar 2020
Bandits with adversarial scaling Thodoris Lykouris Vahab Mirrokni R. Leme 6 14 0 04 Mar 2020
Robust Stochastic Bandit Algorithms under Probabilistic Unbounded Adversarial Attack Ziwei Guan Kaiyi Ji Donald J. Bucci Timothy Y. Hu J. Palombo Michael J. Liston Yingbin Liang AAML 29 27 0 17 Feb 2020
Policy Poisoning in Batch Reinforcement Learning and Control Yuzhe Ma Xuezhou Zhang Wen Sun Xiaojin Zhu AAML OffRL 21 109 0 13 Oct 2019