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Reasoning about Safety of Learning-Enabled Components in Autonomous
  Cyber-physical Systems

Reasoning about Safety of Learning-Enabled Components in Autonomous Cyber-physical Systems

11 April 2018
Cumhur Erkan Tuncali
J. Kapinski
Hisahiro Ito
Jyotirmoy V. Deshmukh
ArXivPDFHTML

Papers citing "Reasoning about Safety of Learning-Enabled Components in Autonomous Cyber-physical Systems"

5 / 5 papers shown
Title
Systems Challenges for Trustworthy Embodied Systems
Systems Challenges for Trustworthy Embodied Systems
Harald Ruess
29
2
0
10 Jan 2022
Training Neural Network Controllers Using Control Barrier Functions in
  the Presence of Disturbances
Training Neural Network Controllers Using Control Barrier Functions in the Presence of Disturbances
Shakiba Yaghoubi
Georgios Fainekos
S. Sankaranarayanan
34
42
0
18 Jan 2020
Shield Synthesis for Real: Enforcing Safety in Cyber-Physical Systems
Shield Synthesis for Real: Enforcing Safety in Cyber-Physical Systems
Meng Wu
Jingbo Wang
Jyotirmoy Deshmukh
Chao Wang
17
24
0
15 Aug 2019
Reluplex: An Efficient SMT Solver for Verifying Deep Neural Networks
Reluplex: An Efficient SMT Solver for Verifying Deep Neural Networks
Guy Katz
Clark W. Barrett
D. Dill
Kyle D. Julian
Mykel Kochenderfer
AAML
251
1,845
0
03 Feb 2017
Safety Verification of Deep Neural Networks
Safety Verification of Deep Neural Networks
Xiaowei Huang
Marta Kwiatkowska
Sen Wang
Min Wu
AAML
186
932
0
21 Oct 2016
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