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2011.10824
Cited By
Policy Teaching in Reinforcement Learning via Environment Poisoning Attacks
Journal of machine learning research (JMLR), 2020
21 November 2020
Amin Rakhsha
Goran Radanović
R. Devidze
Xiaojin Zhu
Adish Singla
AAML
OffRL
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Papers citing
"Policy Teaching in Reinforcement Learning via Environment Poisoning Attacks"
21 / 21 papers shown
Constrained Black-Box Attacks Against Cooperative Multi-Agent Reinforcement Learning
Amine Andam
Jamal Bentahar
Mustapha Hedabou
AAML
173
0
0
12 Aug 2025
Optimally Installing Strict Equilibria
Jeremy McMahan
Young Wu
Yudong Chen
Xiaojin Zhu
Qiaomin Xie
379
0
0
05 Mar 2025
Reinforcement Learning for an Efficient and Effective Malware Investigation during Cyber Incident Response
Dipo Dunsin
M. C. Ghanem
Karim Ouazzane
Vassil T. Vassilev
338
6
0
08 Jan 2025
Inception: Efficiently Computable Misinformation Attacks on Markov Games
Jeremy McMahan
Young Wu
Yudong Chen
Xiaojin Zhu
Qiaomin Xie
186
2
0
24 Jun 2024
Corruption-Robust Offline Two-Player Zero-Sum Markov Games
Andi Nika
Debmalya Mandal
Adish Singla
Goran Radanović
OffRL
272
4
0
04 Mar 2024
Informativeness of Reward Functions in Reinforcement Learning
Adaptive Agents and Multi-Agent Systems (AAMAS), 2024
R. Devidze
Parameswaran Kamalaruban
Adish Singla
288
4
0
10 Feb 2024
Reinforcement Unlearning
Dayong Ye
Tianqing Zhu
Congcong Zhu
Derui Wang
Zewei Shi
Sheng Shen
Wanlei Zhou
Jason Xue
MU
602
12
0
26 Dec 2023
Optimally Teaching a Linear Behavior Cloning Agent
S. Bharti
Stephen J. Wright
Adish Singla
Xiaojin Zhu
163
0
0
26 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
623
3
0
01 Nov 2023
Data Poisoning to Fake a Nash Equilibrium in Markov Games
Young Wu
Jeremy McMahan
Xiaojin Zhu
Qiaomin Xie
OffRL
377
2
0
13 Jun 2023
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
234
13
0
27 Feb 2023
Adversarial Attacks on Adversarial Bandits
International Conference on Learning Representations (ICLR), 2023
Yuzhe Ma
Zhijin Zhou
AAML
243
11
0
30 Jan 2023
New Challenges in Reinforcement Learning: A Survey of Security and Privacy
Artificial Intelligence Review (Artif Intell Rev), 2022
Yunjiao Lei
Dayong Ye
Sheng Shen
Yulei Sui
Tianqing Zhu
Wanlei Zhou
372
27
0
31 Dec 2022
Learned-Database Systems Security
R. Schuster
Jinyi Zhou
Thorsten Eisenhofer
Paul Grubbs
Nicolas Papernot
AAML
461
2
0
20 Dec 2022
Are AlphaZero-like Agents Robust to Adversarial Perturbations?
Neural Information Processing Systems (NeurIPS), 2022
Li-Cheng Lan
Huan Zhang
Tai-Lin Wu
Meng-Yu Tsai
I-Chen Wu
Cho-Jui Hsieh
AAML
305
15
0
07 Nov 2022
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
OffRL
543
27
0
04 Jun 2022
Admissible Policy Teaching through Reward Design
AAAI Conference on Artificial Intelligence (AAAI), 2022
Kiarash Banihashem
Adish Singla
Jiarui Gan
Goran Radanović
293
17
0
06 Jan 2022
Provably Efficient Black-Box Action Poisoning Attacks Against Reinforcement Learning
Neural Information Processing Systems (NeurIPS), 2021
Guanlin Liu
Lifeng Lai
AAML
236
51
0
09 Oct 2021
Fair Clustering Using Antidote Data
Anshuman Chhabra
Adish Singla
P. Mohapatra
FaML
374
19
0
01 Jun 2021
Reward Poisoning in Reinforcement Learning: Attacks Against Unknown Learners in Unknown Environments
Amin Rakhsha
Xuezhou Zhang
Xiaojin Zhu
Adish Singla
AAML
OffRL
249
44
0
16 Feb 2021
Defense Against Reward Poisoning Attacks in Reinforcement Learning
Kiarash Banihashem
Adish Singla
Goran Radanović
AAML
356
33
0
10 Feb 2021
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