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1910.05821
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Policy Poisoning in Batch Reinforcement Learning and Control
Neural Information Processing Systems (NeurIPS), 2019
13 October 2019
Yuzhe Ma
Xuezhou Zhang
Wen Sun
Xiaojin Zhu
AAML
OffRL
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Papers citing
"Policy Poisoning in Batch Reinforcement Learning and Control"
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188
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Provably Invincible Adversarial Attacks on Reinforcement Learning Systems: A Rate-Distortion Information-Theoretic Approach
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138
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Density-Ratio Weighted Behavioral Cloning: Learning Control Policies from Corrupted Datasets
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216
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Off-Policy Actor-Critic for Adversarial Observation Robustness: Virtual Alternative Training via Symmetric Policy Evaluation
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Shin Ishii
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297
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20 Jun 2025
TrojanTO: Action-Level Backdoor Attacks against Trajectory Optimization Models
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Oubo Ma
Longfei Zhang
Xingxing Liang
Xiaochun Cao
Shouling Ji
J. Zhang
Jincai Huang
Li Shen
285
1
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15 Jun 2025
Collapsing Sequence-Level Data-Policy Coverage via Poisoning Attack in Offline Reinforcement Learning
Conference on Uncertainty in Artificial Intelligence (UAI), 2025
Xue Zhou
Dapeng Man
Chen Xu
Fanyi Zeng
Tao Liu
Huan Wang
Shucheng He
Chaoyang Gao
Wu Yang
OffRL
236
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12 Jun 2025
Can In-Context Reinforcement Learning Recover From Reward Poisoning Attacks?
Paulius Sasnauskas
Yiğit Yalın
Goran Radanović
272
0
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07 Jun 2025
Nonparametric Teaching for Graph Property Learners
Chen Zhang
Weixin Bu
Zhaochun Ren
Ziyue Liu
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504
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20 May 2025
Optimally Installing Strict Equilibria
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Young Wu
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360
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05 Mar 2025
Online Poisoning Attack Against Reinforcement Learning under Black-box Environments
Jianhui Li
Bokang Zhang
Junfeng Wu
AAML
OffRL
OnRL
364
4
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01 Dec 2024
Provably Efficient Action-Manipulation Attack Against Continuous Reinforcement Learning
Zhi Luo
Xiaoyu Yang
Pan Zhou
D. Wang
AAML
284
1
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Uncertainty-based Offline Variational Bayesian Reinforcement Learning for Robustness under Diverse Data Corruptions
Neural Information Processing Systems (NeurIPS), 2024
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Jie Wang
Guoping Wu
Yangqiu Song
AAML
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454
9
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Inception: Efficiently Computable Misinformation Attacks on Markov Games
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Young Wu
Yudong Chen
Xiaojin Zhu
Qiaomin Xie
182
1
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24 Jun 2024
Nonparametric Teaching of Implicit Neural Representations
International Conference on Machine Learning (ICML), 2024
Chen Zhang
Steven Tin Sui Luo
Jason Chun Lok Li
Yik-Chung Wu
Ngai Wong
383
12
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TrajDeleter: Enabling Trajectory Forgetting in Offline Reinforcement Learning Agents
Chen Gong
Kecen Li
Jin Yao
Tianhao Wang
OnRL
238
2
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18 Apr 2024
Data Poisoning Attacks on Off-Policy Policy Evaluation Methods
Elita Lobo
Harvineet Singh
Marek Petrik
Cynthia Rudin
Himabindu Lakkaraju
278
3
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06 Apr 2024
Corruption-Robust Offline Two-Player Zero-Sum Markov Games
Andi Nika
Debmalya Mandal
Adish Singla
Goran Radanović
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242
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Reward Design for Justifiable Sequential Decision-Making
A. Sukovic
Goran Radanović
242
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Testing autonomous vehicles and AI: perspectives and challenges from cybersecurity, transparency, robustness and fairness
David Fernández Llorca
Ronan Hamon
Henrik Junklewitz
Kathrin Grosse
Lars Kunze
...
Nick Reed
Alexandre Alahi
Emilia Gómez
Ignacio E. Sánchez
Á. Kriston
330
14
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21 Feb 2024
Stealthy Adversarial Attacks on Stochastic Multi-Armed Bandits
Zhiwei Wang
Huazheng Wang
Hongning Wang
AAML
335
1
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21 Feb 2024
Informativeness of Reward Functions in Reinforcement Learning
Adaptive Agents and Multi-Agent Systems (AAMAS), 2024
R. Devidze
Parameswaran Kamalaruban
Adish Singla
264
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10 Feb 2024
SUB-PLAY: Adversarial Policies against Partially Observed Multi-Agent Reinforcement Learning Systems
Conference on Computer and Communications Security (CCS), 2024
Oubo Ma
Yuwen Pu
L. Du
Yang Dai
Ruo Wang
Xiaolei Liu
Yingcai Wu
Shouling Ji
AAML
327
14
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06 Feb 2024
Assessing the Impact of Distribution Shift on Reinforcement Learning Performance
Ted Fujimoto
Joshua Suetterlein
Samrat Chatterjee
A. Ganguly
OffRL
272
9
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Camouflage Adversarial Attacks on Multiple Agent Systems
Ziqing Lu
Guanlin Liu
Lifeng Lai
Weiyu Xu
AAML
240
4
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30 Jan 2024
Nonparametric Teaching for Multiple Learners
Chen Zhang
Xiaofeng Cao
Weiyang Liu
Ivor Tsang
James T. Kwok
303
8
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17 Nov 2023
RLHFPoison: Reward Poisoning Attack for Reinforcement Learning with Human Feedback in Large Language Models
Zhenghao Hu
Junlin Wu
Muhao Chen
Yevgeniy Vorobeychik
Chaowei Xiao
AAML
282
33
0
16 Nov 2023
Optimal Cost Constrained Adversarial Attacks For Multiple Agent Systems
Annual Conference on Information Sciences and Systems (CISS), 2023
Ziqing Lu
Guanlin Liu
Lifeng Lai
Weiyu Xu
AAML
240
3
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01 Nov 2023
Minimally Modifying a Markov Game to Achieve Any Nash Equilibrium and Value
International Conference on Machine Learning (ICML), 2023
Young Wu
Jeremy McMahan
Yiding Chen
Yudong Chen
Xiaojin Zhu
Qiaomin Xie
575
4
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01 Nov 2023
Corruption-Robust Offline Reinforcement Learning with General Function Approximation
Neural Information Processing Systems (NeurIPS), 2023
Chen Ye
Rui Yang
Quanquan Gu
Tong Zhang
OffRL
478
30
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Efficient Adversarial Attacks on Online Multi-agent Reinforcement Learning
Neural Information Processing Systems (NeurIPS), 2023
Guanlin Liu
Lifeng Lai
AAML
227
18
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Data Poisoning to Fake a Nash Equilibrium in Markov Games
Young Wu
Jeremy McMahan
Xiaojin Zhu
Qiaomin Xie
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351
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Nonparametric Iterative Machine Teaching
International Conference on Machine Learning (ICML), 2023
Chen Zhang
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424
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R. Margiotta
Sebastian Goldt
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298
1
0
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Policy Resilience to Environment Poisoning Attacks on Reinforcement Learning
Hang Xu
Xinghua Qu
Zinovi Rabinovich
274
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Implicit Poisoning Attacks in Two-Agent Reinforcement Learning: Adversarial Policies for Training-Time Attacks
Adaptive Agents and Multi-Agent Systems (AAMAS), 2023
Mohammad Mohammadi
Jonathan Nöther
Debmalya Mandal
Adish Singla
Goran Radanović
AAML
OffRL
233
12
0
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Adversarial Attacks on Adversarial Bandits
International Conference on Learning Representations (ICLR), 2023
Yuzhe Ma
Zhijin Zhou
AAML
221
10
0
30 Jan 2023
Learned-Database Systems Security
R. Schuster
Jinyi Zhou
Thorsten Eisenhofer
Paul Grubbs
Nicolas Papernot
AAML
445
2
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Security of Deep Reinforcement Learning for Autonomous Driving: A Survey
Ambra Demontis
Srishti Gupta
Christian Scano
Luca Demetrio
Kathrin Grosse
Hsiao-Ying Lin
Chengfang Fang
Battista Biggio
Fabio Roli
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402
4
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12 Dec 2022
Iterative Teaching by Data Hallucination
International Conference on Artificial Intelligence and Statistics (AISTATS), 2022
Zeju Qiu
Weiyang Liu
Tim Z. Xiao
Zhen Liu
Umang Bhatt
Yucen Luo
Adrian Weller
Bernhard Schölkopf
368
12
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31 Oct 2022
Imitating Opponent to Win: Adversarial Policy Imitation Learning in Two-player Competitive Games
Adaptive Agents and Multi-Agent Systems (AAMAS), 2022
Viet The Bui
Tien Mai
T. Nguyen
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327
6
0
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Trustworthy Reinforcement Learning Against Intrinsic Vulnerabilities: Robustness, Safety, and Generalizability
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Wenhao Ding
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Yue Liu
Ding Zhao
450
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Understanding the Limits of Poisoning Attacks in Episodic Reinforcement Learning
International Joint Conference on Artificial Intelligence (IJCAI), 2022
A. Rangi
Haifeng Xu
Long Tran-Thanh
M. Franceschetti
AAML
OffRL
233
26
0
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Sampling Attacks on Meta Reinforcement Learning: A Minimax Formulation and Complexity Analysis
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Haozhe Lei
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458
10
0
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RORL: Robust Offline Reinforcement Learning via Conservative Smoothing
Neural Information Processing Systems (NeurIPS), 2022
Rui Yang
Chenjia Bai
Xiaoteng Ma
Zhaoran Wang
Chongjie Zhang
Lei Han
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589
106
0
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Reward Poisoning Attacks on Offline Multi-Agent Reinforcement Learning
AAAI Conference on Artificial Intelligence (AAAI), 2022
Young Wu
Jermey McMahan
Xiaojin Zhu
Qiaomin Xie
AAML
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535
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Byzantine-Robust Online and Offline Distributed Reinforcement Learning
International Conference on Artificial Intelligence and Statistics (AISTATS), 2022
Yiding Chen
Xuezhou Zhang
Jianchao Tan
Mengdi Wang
Xiaojin Zhu
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398
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Efficient Reward Poisoning Attacks on Online Deep Reinforcement Learning
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Qi Zeng
Gagandeep Singh
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332
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0
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COPA: Certifying Robust Policies for Offline Reinforcement Learning against Poisoning Attacks
International Conference on Learning Representations (ICLR), 2022
Fan Wu
Linyi Li
Chejian Xu
Huan Zhang
B. Kailkhura
K. Kenthapadi
Ding Zhao
Yue Liu
AAML
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224
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Reinforcement Learning for Linear Quadratic Control is Vulnerable Under Cost Manipulation
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Trusted AI in Multi-agent Systems: An Overview of Privacy and Security for Distributed Learning
Proceedings of the IEEE (Proc. IEEE), 2022
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Jun Li
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H. Vincent Poor
434
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18 Feb 2022
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