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Blackbox Attacks on Reinforcement Learning Agents Using Approximated
  Temporal Information

Blackbox Attacks on Reinforcement Learning Agents Using Approximated Temporal Information

6 September 2019
Yiren Zhao
Ilia Shumailov
Han Cui
Xitong Gao
Robert D. Mullins
Ross J. Anderson
    AAML
ArXivPDFHTML

Papers citing "Blackbox Attacks on Reinforcement Learning Agents Using Approximated Temporal Information"

13 / 13 papers shown
Title
Robust Deep Reinforcement Learning against Adversarial Behavior Manipulation
Robust Deep Reinforcement Learning against Adversarial Behavior Manipulation
Shojiro Yamabe
Kazuto Fukuchi
Jun Sakuma
AAML
68
0
0
06 Jun 2024
A Survey of Machine Learning-Based Ride-Hailing Planning
A Survey of Machine Learning-Based Ride-Hailing Planning
Dacheng Wen
Yupeng Li
F. Lau
29
4
0
26 Mar 2023
New Challenges in Reinforcement Learning: A Survey of Security and
  Privacy
New Challenges in Reinforcement Learning: A Survey of Security and Privacy
Yunjiao Lei
Dayong Ye
Sheng Shen
Yulei Sui
Tianqing Zhu
Wanlei Zhou
46
18
0
31 Dec 2022
Learned Systems Security
Learned Systems Security
R. Schuster
Jinyi Zhou
Thorsten Eisenhofer
Paul Grubbs
Nicolas Papernot
AAML
32
2
0
20 Dec 2022
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
Christian Scano
Kathrin Grosse
Hsiao-Ying Lin
Chengfang Fang
Battista Biggio
Fabio Roli
AAML
49
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
38
5
0
30 Oct 2022
Efficient Adversarial Training With Data Pruning
Efficient Adversarial Training With Data Pruning
Maximilian Kaufmann
Yiren Zhao
Ilia Shumailov
Robert D. Mullins
Nicolas Papernot
AAML
55
7
0
01 Jul 2022
Deep-Attack over the Deep Reinforcement Learning
Deep-Attack over the Deep Reinforcement Learning
Yang Li
Quanbiao Pan
Min Zhang
AAML
32
13
0
02 May 2022
Generalization of Reinforcement Learning with Policy-Aware Adversarial
  Data Augmentation
Generalization of Reinforcement Learning with Policy-Aware Adversarial Data Augmentation
Hanping Zhang
Yuhong Guo
30
23
0
29 Jun 2021
Resilient Machine Learning for Networked Cyber Physical Systems: A
  Survey for Machine Learning Security to Securing Machine Learning for CPS
Resilient Machine Learning for Networked Cyber Physical Systems: A Survey for Machine Learning Security to Securing Machine Learning for CPS
Felix O. Olowononi
D. Rawat
Chunmei Liu
41
134
0
14 Feb 2021
Adversarial jamming attacks and defense strategies via adaptive deep
  reinforcement learning
Adversarial jamming attacks and defense strategies via adaptive deep reinforcement learning
Feng Wang
Chen Zhong
M. C. Gursoy
Senem Velipasalar
AAML
23
8
0
12 Jul 2020
On the Robustness of Cooperative Multi-Agent Reinforcement Learning
On the Robustness of Cooperative Multi-Agent Reinforcement Learning
Jieyu Lin
Kristina Dzeparoska
Shanghang Zhang
A. Leon-Garcia
Nicolas Papernot
AAML
76
65
0
08 Mar 2020
Adversarial examples in the physical world
Adversarial examples in the physical world
Alexey Kurakin
Ian Goodfellow
Samy Bengio
SILM
AAML
368
5,849
0
08 Jul 2016
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