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Policy Poisoning in Batch Reinforcement Learning and Control

Policy Poisoning in Batch Reinforcement Learning and Control

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"

27 / 27 papers shown
Title
Stealthy Adversarial Attacks on Stochastic Multi-Armed Bandits
Stealthy Adversarial Attacks on Stochastic Multi-Armed Bandits
Zhiwei Wang
Huazheng Wang
Hongning Wang
AAML
49
0
0
21 Feb 2024
Informativeness of Reward Functions in Reinforcement Learning
Informativeness of Reward Functions in Reinforcement Learning
R. Devidze
Parameswaran Kamalaruban
Adish Singla
29
2
0
10 Feb 2024
RLHFPoison: Reward Poisoning Attack for Reinforcement Learning with
  Human Feedback in Large Language Models
RLHFPoison: Reward Poisoning Attack for Reinforcement Learning with Human Feedback in Large Language Models
Jiong Wang
Junlin Wu
Muhao Chen
Yevgeniy Vorobeychik
Chaowei Xiao
AAML
29
13
0
16 Nov 2023
Policy Resilience to Environment Poisoning Attacks on Reinforcement
  Learning
Policy Resilience to Environment Poisoning Attacks on Reinforcement Learning
Hang Xu
Xinghua Qu
Zinovi Rabinovich
29
1
0
24 Apr 2023
Implicit Poisoning Attacks in Two-Agent Reinforcement Learning:
  Adversarial Policies for Training-Time Attacks
Implicit Poisoning Attacks in Two-Agent Reinforcement Learning: Adversarial Policies for Training-Time Attacks
Mohammad Mohammadi
Jonathan Nöther
Debmalya Mandal
Adish Singla
Goran Radanović
AAML
OffRL
35
9
0
27 Feb 2023
A Survey on Reinforcement Learning Security with Application to
  Autonomous Driving
A Survey on Reinforcement Learning Security with Application to Autonomous Driving
Ambra Demontis
Maura Pintor
Luca Demetrio
Kathrin Grosse
Hsiao-Ying Lin
Chengfang Fang
Battista Biggio
Fabio Roli
AAML
42
4
0
12 Dec 2022
Imitating Opponent to Win: Adversarial Policy Imitation Learning in
  Two-player Competitive Games
Imitating Opponent to Win: Adversarial Policy Imitation Learning in Two-player Competitive Games
Viet The Bui
Tien Mai
T. Nguyen
AAML
33
5
0
30 Oct 2022
Trustworthy Reinforcement Learning Against Intrinsic Vulnerabilities:
  Robustness, Safety, and Generalizability
Trustworthy Reinforcement Learning Against Intrinsic Vulnerabilities: Robustness, Safety, and Generalizability
Mengdi Xu
Zuxin Liu
Peide Huang
Wenhao Ding
Zhepeng Cen
Bo-wen Li
Ding Zhao
74
45
0
16 Sep 2022
Sampling Attacks on Meta Reinforcement Learning: A Minimax Formulation
  and Complexity Analysis
Sampling Attacks on Meta Reinforcement Learning: A Minimax Formulation and Complexity Analysis
Tao Li
Haozhe Lei
Quanyan Zhu
AAML
29
7
0
29 Jul 2022
Byzantine-Robust Online and Offline Distributed Reinforcement Learning
Byzantine-Robust Online and Offline Distributed Reinforcement Learning
Yiding Chen
Xuezhou Zhang
Kaipeng Zhang
Mengdi Wang
Xiaojin Zhu
OffRL
26
16
0
01 Jun 2022
Efficient Reward Poisoning Attacks on Online Deep Reinforcement Learning
Efficient Reward Poisoning Attacks on Online Deep Reinforcement Learning
Yinglun Xu
Qi Zeng
Gagandeep Singh
AAML
38
6
0
30 May 2022
COPA: Certifying Robust Policies for Offline Reinforcement Learning
  against Poisoning Attacks
COPA: Certifying Robust Policies for Offline Reinforcement Learning against Poisoning Attacks
Fan Wu
Linyi Li
Chejian Xu
Huan Zhang
B. Kailkhura
K. Kenthapadi
Ding Zhao
Bo-wen Li
AAML
OffRL
29
34
0
16 Mar 2022
Reinforcement Learning for Linear Quadratic Control is Vulnerable Under
  Cost Manipulation
Reinforcement Learning for Linear Quadratic Control is Vulnerable Under Cost Manipulation
Yunhan Huang
Quanyan Zhu
OffRL
AAML
36
4
0
11 Mar 2022
Efficient Action Poisoning Attacks on Linear Contextual Bandits
Efficient Action Poisoning Attacks on Linear Contextual Bandits
Guanlin Liu
Lifeng Lai
AAML
35
4
0
10 Dec 2021
Iterative Teaching by Label Synthesis
Iterative Teaching by Label Synthesis
Weiyang Liu
Zhen Liu
Hanchen Wang
Liam Paull
Bernhard Schölkopf
Adrian Weller
48
16
0
27 Oct 2021
Game Redesign in No-regret Game Playing
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
Provably Efficient Black-Box Action Poisoning Attacks Against Reinforcement Learning
Guanlin Liu
Lifeng Lai
AAML
32
34
0
09 Oct 2021
SoK: Machine Learning Governance
SoK: Machine Learning Governance
Varun Chandrasekaran
Hengrui Jia
Anvith Thudi
Adelin Travers
Mohammad Yaghini
Nicolas Papernot
38
16
0
20 Sep 2021
Reinforcement Learning for Feedback-Enabled Cyber Resilience
Reinforcement Learning for Feedback-Enabled Cyber Resilience
Yunhan Huang
Linan Huang
Quanyan Zhu
16
66
0
02 Jul 2021
Adversarial attacks in consensus-based multi-agent reinforcement
  learning
Adversarial attacks in consensus-based multi-agent reinforcement learning
Martin Figura
K. Kosaraju
V. Gupta
AAML
27
28
0
11 Mar 2021
Reward Poisoning in Reinforcement Learning: Attacks Against Unknown
  Learners in Unknown Environments
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
Disturbing Reinforcement Learning Agents with Corrupted Rewards
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
Defense Against Reward Poisoning Attacks in Reinforcement Learning
Kiarash Banihashem
Adish Singla
Goran Radanović
AAML
32
26
0
10 Feb 2021
Robust Reinforcement Learning on State Observations with Learned Optimal
  Adversary
Robust Reinforcement Learning on State Observations with Learned Optimal Adversary
Huan Zhang
Hongge Chen
Duane S. Boning
Cho-Jui Hsieh
67
162
0
21 Jan 2021
Policy Teaching in Reinforcement Learning via Environment Poisoning
  Attacks
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
Policy Teaching via Environment Poisoning: Training-time Adversarial
  Attacks against Reinforcement Learning
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
120
0
28 Mar 2020
Adaptive Reward-Poisoning Attacks against Reinforcement Learning
Adaptive Reward-Poisoning Attacks against Reinforcement Learning
Xuezhou Zhang
Yuzhe Ma
Adish Singla
Xiaojin Zhu
AAML
21
124
0
27 Mar 2020
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