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MORTAR: A Model-based Runtime Action Repair Framework for AI-enabled
  Cyber-Physical Systems

MORTAR: A Model-based Runtime Action Repair Framework for AI-enabled Cyber-Physical Systems

7 August 2024
Renzhi Wang
Zhehua Zhou
Jiayang Song
Xuan Xie
Xiaofei Xie
Lei Ma
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Papers citing "MORTAR: A Model-based Runtime Action Repair Framework for AI-enabled Cyber-Physical Systems"

3 / 3 papers shown
Title
Recent Advances in Adversarial Training for Adversarial Robustness
Recent Advances in Adversarial Training for Adversarial Robustness
Tao Bai
Jinqi Luo
Jun Zhao
B. Wen
Qian Wang
AAML
73
473
0
02 Feb 2021
Learning a Low-dimensional Representation of a Safe Region for Safe
  Reinforcement Learning on Dynamical Systems
Learning a Low-dimensional Representation of a Safe Region for Safe Reinforcement Learning on Dynamical Systems
Zhehua Zhou
Ozgur S. Oguz
M. Leibold
M. Buss
38
14
0
19 Oct 2020
Adversarial examples in the physical world
Adversarial examples in the physical world
Alexey Kurakin
Ian Goodfellow
Samy Bengio
SILM
AAML
287
5,835
0
08 Jul 2016
1