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2002.09027
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Enhanced Adversarial Strategically-Timed Attacks against Deep Reinforcement Learning
IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP), 2020
20 February 2020
Chao-Han Huck Yang
Jun Qi
Pin-Yu Chen
Ouyang Yi
I-Te Danny Hung
Chin-Hui Lee
Xiaoli Ma
AAML
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Papers citing
"Enhanced Adversarial Strategically-Timed Attacks against Deep Reinforcement Learning"
20 / 20 papers shown
Pruning Cannot Hurt Robustness: Certified Trade-offs in Reinforcement Learning
James Pedley
Benjamin Etheridge
Stephen J. Roberts
Francesco Quinzan
OffRL
AAML
155
0
0
14 Oct 2025
Provably Efficient Action-Manipulation Attack Against Continuous Reinforcement Learning
Zhi Luo
Xiaoyu Yang
Pan Zhou
D. Wang
AAML
287
1
0
20 Nov 2024
Security Considerations in AI-Robotics: A Survey of Current Methods, Challenges, and Opportunities
IEEE Access (IEEE Access), 2023
Subash Neupane
Shaswata Mitra
Ivan A. Fernandez
Swayamjit Saha
Sudip Mittal
Jingdao Chen
Nisha Pillai
Shahram Rahimi
326
34
0
12 Oct 2023
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
AAML
402
4
0
12 Dec 2022
Explainable and Safe Reinforcement Learning for Autonomous Air Mobility
Lei Wang
Hongyu Yang
Yi Lin
S. Yin
Yuankai Wu
147
7
0
24 Nov 2022
Sparse Adversarial Attack in Multi-agent Reinforcement Learning
Yi Hu
Zhihua Zhang
AAML
276
14
0
19 May 2022
Review of Metrics to Measure the Stability, Robustness and Resilience of Reinforcement Learning
L. Pullum
445
6
0
22 Mar 2022
Pessimistic Model Selection for Offline Deep Reinforcement Learning
Conference on Uncertainty in Artificial Intelligence (UAI), 2021
Chao-Han Huck Yang
Zhengling Qi
Yifan Cui
Pin-Yu Chen
OffRL
317
4
0
29 Nov 2021
Neural Network Verification in Control
M. Everett
AAML
247
22
0
30 Sep 2021
Variational Quantum Reinforcement Learning via Evolutionary Optimization
Samuel Yen-Chi Chen
Chih-Min Huang
Chia-Wei Hsing
H. Goan
Y. Kao
393
107
0
01 Sep 2021
Understanding Adversarial Attacks on Observations in Deep Reinforcement Learning
Science China Information Sciences (Sci China Inf Sci), 2021
You Qiaoben
Chengyang Ying
Xinning Zhou
Hang Su
Jun Zhu
Bo Zhang
AAML
280
27
0
30 Jun 2021
Robust Unsupervised Multi-Object Tracking in Noisy Environments
International Conference on Information Photonics (ICIP), 2021
Chao-Han Huck Yang
Mohit Chhabra
Y.-C. Liu
Quan Kong
Tomoaki Yoshinaga
Tomokazu Murakami
VOT
390
1
0
20 May 2021
Training a Resilient Q-Network against Observational Interference
AAAI Conference on Artificial Intelligence (AAAI), 2021
Chao-Han Huck Yang
I-Te Danny Hung
Ouyang Yi
Pin-Yu Chen
OOD
279
17
0
18 Feb 2021
Multi-task Language Modeling for Improving Speech Recognition of Rare Words
Automatic Speech Recognition & Understanding (ASRU), 2020
Chao-Han Huck Yang
Linda Liu
Ankur Gandhe
Yile Gu
A. Raju
Denis Filimonov
I. Bulyko
389
30
0
23 Nov 2020
Adversarial jamming attacks and defense strategies via adaptive deep reinforcement learning
IEEE Access (IEEE Access), 2020
Feng Wang
Chen Zhong
M. C. Gursoy
Senem Velipasalar
AAML
237
9
0
12 Jul 2020
Certifiable Robustness to Adversarial State Uncertainty in Deep Reinforcement Learning
IEEE Transactions on Neural Networks and Learning Systems (IEEE TNNLS), 2020
Michael Everett
Bjorn Lutjens
Jonathan P. How
AAML
456
53
0
11 Apr 2020
Evolving Neural Networks through a Reverse Encoding Tree
IEEE Congress on Evolutionary Computation (CEC), 2020
Haoling Zhang
Chao-Han Huck Yang
Hector Zenil
N. Kiani
Yue-Hong Shen
Jesper N. Tegnér
280
7
0
03 Feb 2020
Challenges and Countermeasures for Adversarial Attacks on Deep Reinforcement Learning
IEEE Transactions on Artificial Intelligence (IEEE TAI), 2020
Inaam Ilahi
Muhammad Usama
Junaid Qadir
M. Janjua
Ala I. Al-Fuqaha
D. Hoang
Dusit Niyato
AAML
376
186
0
27 Jan 2020
Certified Adversarial Robustness for Deep Reinforcement Learning
Conference on Robot Learning (CoRL), 2019
Björn Lütjens
Michael Everett
Jonathan P. How
AAML
282
105
0
28 Oct 2019
Variational Quantum Circuits for Deep Reinforcement Learning
IEEE Access (IEEE Access), 2019
Samuel Yen-Chi Chen
Chao-Han Huck Yang
Jun Qi
Pin-Yu Chen
Xiaoli Ma
H. Goan
435
415
0
30 Jun 2019
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