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Investigating Vulnerabilities of Deep Neural Policies

Investigating Vulnerabilities of Deep Neural Policies

Conference on Uncertainty in Artificial Intelligence (UAI), 2021
Ezgi Korkmaz
    AAML
ArXiv (abs)PDFHTML

Papers citing "Investigating Vulnerabilities of Deep Neural Policies"

9 / 9 papers shown
Title
A Survey Analyzing Generalization in Deep Reinforcement Learning
A Survey Analyzing Generalization in Deep Reinforcement Learning
Ezgi Korkmaz
OffRL
151
7
0
04 Jan 2024
Detecting Adversarial Directions in Deep Reinforcement Learning to Make Robust Decisions
Detecting Adversarial Directions in Deep Reinforcement Learning to Make Robust DecisionsInternational Conference on Machine Learning (ICML), 2023
Ezgi Korkmaz
Jonah Brown-Cohen
AAML
96
12
0
09 Jun 2023
Explaining RL Decisions with Trajectories
Explaining RL Decisions with TrajectoriesInternational Conference on Learning Representations (ICLR), 2023
Shripad Deshmukh
Arpan Dasgupta
Balaji Krishnamurthy
Nan Jiang
Chirag Agarwal
Georgios Theocharous
J. Subramanian
OffRL
136
7
0
06 May 2023
Adversarial Robust Deep Reinforcement Learning Requires Redefining Robustness
Adversarial Robust Deep Reinforcement Learning Requires Redefining RobustnessAAAI Conference on Artificial Intelligence (AAAI), 2023
Ezgi Korkmaz
87
31
0
17 Jan 2023
SoK: Adversarial Machine Learning Attacks and Defences in Multi-Agent Reinforcement Learning
SoK: Adversarial Machine Learning Attacks and Defences in Multi-Agent Reinforcement Learning
Maxwell Standen
Junae Kim
Claudia Szabo
AAML
130
6
0
11 Jan 2023
Targeted Adversarial Attacks on Deep Reinforcement Learning Policies via Model Checking
Targeted Adversarial Attacks on Deep Reinforcement Learning Policies via Model CheckingInternational Conference on Agents and Artificial Intelligence (ICAART), 2022
Dennis Gross
T. D. Simão
N. Jansen
G. Pérez
AAML
135
2
0
10 Dec 2022
Efficient Adversarial Training without Attacking: Worst-Case-Aware Robust Reinforcement Learning
Efficient Adversarial Training without Attacking: Worst-Case-Aware Robust Reinforcement LearningNeural Information Processing Systems (NeurIPS), 2022
Yongyuan Liang
Yanchao Sun
Ruijie Zheng
Furong Huang
OODAAMLOffRL
107
58
0
12 Oct 2022
Red Teaming with Mind Reading: White-Box Adversarial Policies Against RL Agents
Red Teaming with Mind Reading: White-Box Adversarial Policies Against RL Agents
Stephen Casper
Taylor Killian
Gabriel Kreiman
Dylan Hadfield-Menell
AAML
154
1
0
05 Sep 2022
Deep Reinforcement Learning Policies Learn Shared Adversarial Features Across MDPs
Deep Reinforcement Learning Policies Learn Shared Adversarial Features Across MDPs
Ezgi Korkmaz
76
27
0
16 Dec 2021

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